Table of contents for issues of Journal of the American Statistical Association

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Volume 71, Number 356, December, 1976
Volume 95, Number 449, March, 2000
Volume 95, Number 450, June, 2000
Volume 95, Number 451, September, 2000
Volume 95, Number 452, December, 2000
Volume 96, Number 453, March, 2001
Volume 96, Number 454, June, 2001
Volume 96, Number 455, September, 2001
Volume 96, Number 456, December, 2001
Volume 97, Number 457, March, 2002
Volume 97, Number 458, June, 2002
Volume 97, Number 459, September, 2002
Volume 97, Number 460, December, 2002
Volume 98, Number 461, March, 2003
Volume 98, Number 462, June, 2003
Volume 98, Number 463, September, 2003
Volume 98, Number 464, December, 2003
Volume 99, Number 465, March, 2004
Volume 99, Number 466, April, 2004
Volume 99, Number 467, September, 2004
Volume 99, Number 468, December, 2004
Volume 100, Number 469, March, 2005
Volume 100, Number 470, June, 2005
Volume 100, Number 471, September, 2005
Volume 100, Number 472, December, 2005
Volume 101, Number 473, March, 2006
Volume 101, Number 474, June, 2006
Volume 101, Number 475, September, 2006
Volume 101, Number 476, December, 2006
Volume 102, Number 477, March, 2007
Volume 102, Number 478, June, 2007
Volume 102, Number 479, September, 2007
Volume 102, Number 480, December, 2007
Volume 103, Number 481, March, 2008
Volume 103, Number 482, June, 2008
Volume 103, Number 483, September, 2008
Volume 103, Number 484, December, 2008
Volume 104, Number 485, March, 2009
Volume 104, Number 486, June, 2009
Volume 104, Number 487, September, 2009
Volume 104, Number 488, December, 2009
Volume 111, Number 515, 2016


Journal of the American Statistical Association
Volume 71, Number 356, December, 1976

             A. K. Banerjee and   
            G. K. Bhattacharyya   A Purchase Incidence Model with Inverse
                                  Gaussian Interpurchase Times . . . . . . 823--829


Journal of the American Statistical Association
Volume 95, Number 449, March, 2000

             Jonas H. Ellenberg   Statisticians' Significance  . . . . . . 1--8
                   J. O. Ramsay   Functional Components of Variation in
                                  Handwriting  . . . . . . . . . . . . . . 9--15
        Babette A. Brumback and   
             Louise M. Ryan and   
           Joel D. Schwartz and   
              Lucas M. Neas and   
              Paul C. Stark and   
               Harriet A. Burge   Transitional Regression Models, With
                                  Application to Environmental Time Series 16--27
      Edwin S. Iversen, Jr. and   
        Giovanni Parmigiani and   
            Donald A. Berry and   
         Joellen M. Schildkraut   Genetic Susceptibility and Survival:
                                  Application to Breast Cancer . . . . . . 28--42
                Stuart G. Baker   Analyzing a Randomized Cancer Prevention
                                  Trial With a Missing Binary Outcome, an
                                  Auxiliary Variable, and All-or-None
                                  Compliance . . . . . . . . . . . . . . . 43--50
           Donna Spiegelman and   
             Bernard Rosner and   
                    Roger Logan   Estimation and Inference for Logistic
                                  Regression With Covariate
                                  Misclassification and Measurement Error
                                  in Main Study/Validation Study Designs   51--61
               Weijing Wang and   
                Martin T. Wells   Model Selection and Semiparametric
                                  Inference for Bivariate Failure-Time
                                  Data . . . . . . . . . . . . . . . . . . 62--72
                  Edsel A. Pena   Model Selection and Semiparametric
                                  Inference for Bivariate Failure-Time
                                  Data: Comment  . . . . . . . . . . . . . 73--75
                  Edsel A. Pena   Comment: Model Selection and
                                  Semiparametric Inference for Bivariate
                                  Failure-Time Data  . . . . . . . . . . . 73
               Weijing Wang and   
                Martin T. Wells   Model Selection and Semiparametric
                                  Inference for Bivariate Failure-Time
                                  Data: Rejoinder  . . . . . . . . . . . . 75--76
               Weijing Wang and   
                Martin T. Wells   Rejoinder: Model Selection and
                                  Semiparametric Inference for Bivariate
                                  Failure-Time Data  . . . . . . . . . . . 75
           Joel L. Horowitz and   
              Charles F. Manski   Nonparametric Analysis of Randomized
                                  Experiments With Missing Covariate and
                                  Outcome Data . . . . . . . . . . . . . . 77--84
              T. E. Raghunathan   Nonparametric Analysis of Randomized
                                  Experiments with Missing Covariate and
                                  Outcome Data: Comment  . . . . . . . . . 85--87
              T. E. Raghunathan   Comment: Nonparametric Analysis of
                                  Randomized Experiments With Missing
                                  Covariate and Outcome Data . . . . . . . 85
           Joel L. Horowitz and   
              Charles F. Manski   Nonparametric Analysis of Randomized
                                  Experiments with Missing Covariate and
                                  Outcome Data: Rejoinder  . . . . . . . . 87--88
          Joel L. Horowirtz and   
              Charles F. Manski   Rejoinder: Nonparametric Analysis of
                                  Randomized Experiments With Missing
                                  Covariate and Outcome Data . . . . . . . 87
                  Sue Duval and   
                Richard Tweedie   A Nonparametric ``Trim and Fill'' Method
                                  of Accounting for Publication Bias in
                                  Meta-Analysis  . . . . . . . . . . . . . 89--98
             Cyrus R. Mehta and   
             Nitin R. Patel and   
            Pralay Senchaudhuri   Efficient Monte Carlo Methods for
                                  Conditional Logistic Regression  . . . . 99--108
                   Chuanhai Liu   Estimation of Discrete Distributions
                                  With a Class of Simplex Constraints  . . 109--120
                 Jun S. Liu and   
               Faming Liang and   
                 Wing Hung Wong   The Multiple-Try Method and Local
                                  Optimization in Metropolis Sampling  . . 121--134
                   Art Owen and   
                        Yi Zhou   Safe and Effective Importance Sampling   135--143
          Joseph L. Schafer and   
             Nathaniel Schenker   Inference With Imputed Conditional Means 144--154
                   Rudolf Beran   REACT Scatterplot Smoothers:
                                  Superefficiency Through Basis Economy    155--171
                 Arne Kovac and   
           Bernard W. Silverman   Extending the Scope of Wavelet
                                  Regression Methods by
                                  Coefficient-Dependent Thresholding . . . 172--183
                A. Serroukh and   
               A. T. Walden and   
                 D. B. Percival   Statistical Properties and Uses of the
                                  Wavelet Variance Estimator for the Scale
                                  Analysis of Time Series  . . . . . . . . 184--196
        Patrick J. Heagerty and   
                  Thomas Lumley   Window Subsampling of Estimating
                                  Functions With Application to Regression
                                  Models . . . . . . . . . . . . . . . . . 197--211
            Michael Akritas and   
                  Steven Arnold   Asymptotics for Analysis of Variance
                                  When the Number of Levels is Large . . . 212--226
          Ranjini Natarajan and   
                 Robert E. Kass   Reference Bayesian Methods for
                                  Generalized Linear Mixed Models  . . . . 227--237
              Michal Kulich and   
                      D. Y. Lin   Additive Hazards Regression With
                                  Covariate Measurement Error  . . . . . . 238--248
              Steven Buyske and   
         Richard Fagerstrom and   
    Zhiliang Ying Steven Buyske   A Class of Weighted Log-Rank Tests for
                                  Survival Data When the Event is Rare . . 249--258
               Thomas C. M. Lee   A Minimum Description Length--Based
                                  Image Segmentation Procedure, and Its
                                  Comparison With a
                                  Cross-Validation--Based Segmentation
                                  Procedure  . . . . . . . . . . . . . . . 259--270
             Sharon L. Lohr and   
                   J. N. K. Rao   Inference From Dual Frame Surveys  . . . 271--280
          Adrian E. Raftery and   
           Martin A. Tanner and   
                Martin T. Wells   [Introduction] . . . . . . . . . . . . . 281--281
              Norman E. Breslow   Statistics in the Life and Medical
                                  Sciences . . . . . . . . . . . . . . . . 281--282
          Adrian E. Raftery and   
           Martin A. Tanner and   
                Martin T. Wells   Statistics in the Year 2000: Vignettes   281
                    David Oakes   Survival Analysis  . . . . . . . . . . . 282--285
               Sander Greenland   Causal Analysis in the Health Sciences   286--289
                  Peter Guttorp   Environmental Statistics . . . . . . . . 289--292
             Kenneth H. Pollock   Capture-Recapture Models . . . . . . . . 293--296
                 Daniel Gianola   Statistics in Animal Breeding  . . . . . 296--299
        Clarice R. Weinberg and   
                David B. Dunson   Some Issues in Assessing Human Fertility 300--303
                 Louise M. Ryan   Statistical Issues in Toxicology . . . . 304--308
         Margaret Sullivan Pepe   Receiver Operating Characteristic
                                  Methodology  . . . . . . . . . . . . . . 308--311
            David P. Harrington   The Randomized Clinical Trial  . . . . . 312--315
               Duncan C. Thomas   Some Contributions of Statistics to
                                  Environmental Epidemiology . . . . . . . 315--319
                     B. S. Weir   Challenges Facing Statistical Genetics   319--322
                 Wing Hung Wong   Computational Molecular Biology  . . . . 322--326
                      Anonymous   Front Matter . . . . . . . . . . . . . . 327--327
                      Anonymous   Book Reviews . . . . . . . . . . . . . . 327
                Susan P. Holmes   Book Review: \booktitle[untitled]  . . . 328--329
         William E. Strawderman   Book Review: \booktitle[untitled]  . . . 329--329
         William E. Strawderman   Book Review: \booktitle[untitled]  . . . 329--330
   Sreenivasa Rao Jammalamadaka   Book Review: \booktitle[untitled]  . . . 330--331
   Sreenivasa Rao Jammalamadaka   Book Review: \booktitle[untitled]  . . . 331--331
                 H. Leon Harter   Book Review: \booktitle[untitled]  . . . 331--332
               Clint W. Coakley   Book Review: \booktitle[untitled]  . . . 332--333
               Michael D. Ernst   Book Review: \booktitle[untitled]  . . . 333--333
                 Brett Presnell   Book Review: \booktitle[untitled]  . . . 333--334
                Engin A. Sungur   Book Review: \booktitle[untitled]  . . . 334--335
               Michael L. Stein   Book Review: \booktitle[untitled]  . . . 335--337
            Christian P. Robert   Book Review: \booktitle[untitled]  . . . 337--339
                Donald A. Berry   Book Review: \booktitle[untitled]  . . . 339--339
              M. Anthony Schork   Book Review: \booktitle[untitled]  . . . 339--340
                   James Inglis   Book Review: \booktitle[untitled]  . . . 340--341
          Robert L. Strawderman   Book Review: \booktitle[untitled]  . . . 341--341
          Robert L. Strawderman   Book Review: \booktitle[untitled]  . . . 342--342
                 Persi Diaconis   Book Review: \booktitle[untitled]  . . . 342--343
                  Kasra Hazeghi   Book Review: \booktitle[untitled]  . . . 343--343
                 Michael Taksar   Book Review: \booktitle[untitled]  . . . 343--344
              Richard A. Levine   Book Review: \booktitle[untitled]  . . . 344--345
               Ramon C. Littell   Book Review: \booktitle[untitled]  . . . 345--345
          Robert L. Strawderman   Book Review: \booktitle[untitled]  . . . 346--346
                        D. Down   Book Review: \booktitle[untitled]  . . . 346--347
                    D. M. Rocke   Book Review: \booktitle[untitled]  . . . 347--348
         William E. Strawderman   Book Review: \booktitle[untitled]  . . . 348--348
               Robert L. Taylor   Book Review: \booktitle[untitled]  . . . 348--348
                            MTW   Book Review: \booktitle[untitled]  . . . 349--349
                            MTW   Book Review: \booktitle[untitled]  . . . 349--349
                            MTW   Book Review: \booktitle[untitled]  . . . 349--349
                             PE   Book Review: \booktitle[untitled]  . . . 349--349
                             PE   Book Review: \booktitle[untitled]  . . . 349--349
          Robert L. Strawderman   Book Review: \booktitle[untitled]  . . . 349--349
                            MTW   Book Review: \booktitle[untitled]  . . . 349--350
                            MTW   Book Review: \booktitle[untitled]  . . . 350--350
                             PE   Book Review: \booktitle[untitled]  . . . 350--350
                      Anonymous   Back Matter  . . . . . . . . . . . . . . ??

Journal of the American Statistical Association
Volume 95, Number 450, June, 2000

         Michael R. Elliott and   
          Roderick J. A. Little   A Bayesian Approach to Combining
                                  Information From a Census, a Coverage
                                  Measurement Survey, and Demographic
                                  Analysis . . . . . . . . . . . . . . . . 351--362
          Verena M. Trenkel and   
            David A. Elston and   
            Stephen T. Buckland   Fitting Population Dynamics Models to
                                  Count and Cull Data Using Sequential
                                  Importance Sampling  . . . . . . . . . . 363--374
              Jason P. Fine and   
                Ronald J. Bosch   Risk Assessment via a Robust Probit
                                  Model, With Application to Toxicology    375--382
         C. Hendricks Brown and   
             Alka Indurkhya and   
             Sheppard G. Kellam   Power Calculations for Data Missing by
                                  Design: Applications to a Follow-Up
                                  Study of Lead Exposure and Attention . . 383--395
              Sarah M. Gray and   
                 Ron Brookmeyer   Multidimensional Longitudinal Data:
                                  Estimating a Treatment Effect From
                                  Continuous, Discrete, or Time-to-Event
                                  Response Variables . . . . . . . . . . . 396--406
                    A. P. Dawid   Causal Inference Without Counterfactuals 407--424
                      D. R. Cox   Causal Inference Without
                                  Counterfactuals: Comment . . . . . . . . 424--425
             George Casella and   
            Stephen P. Schwartz   Causal Inference Without
                                  Counterfactuals: Comment . . . . . . . . 425--427
                    Judea Pearl   Causal Inference Without
                                  Counterfactuals: Comment . . . . . . . . 428--431
            James M. Robins and   
               Sander Greenland   Causal Inference Without
                                  Counterfactuals: Comment . . . . . . . . 431--435
                Donald B. Rubin   Causal Inference Without
                                  Counterfactuals: Comment . . . . . . . . 435--438
                   Glenn Shafer   Causal Inference Without
                                  Counterfactuals: Comment . . . . . . . . 438--442
                Larry Wasserman   Causal Inference Without
                                  Counterfactuals: Comment . . . . . . . . 442--443
                    A. P. Dawid   Causal Inference Without
                                  Counterfactuals: Rejoinder . . . . . . . 444--448
               S. A. Murphy and   
            A. W. Van Der Vaart   On Profile Likelihood  . . . . . . . . . 449--465
            Peter J. Bickel and   
                  Ya'acov Ritov   On Profile Likelihood: Comment . . . . . 466--468
               Jianqing Fan and   
                 Wing-Hung Wong   On Profile Likelihood: Comment . . . . . 468--471
                        Bing Li   On Profile Likelihood: Comment . . . . . 472--474
                  Xiaotong Shen   On Profile Likelihood: Comment . . . . . 474--477
            James M. Robins and   
           Andrea Rotnitzky and   
              Mark van der Laan   On Profile Likelihood: Comment . . . . . 477--482
               S. A. Murphy and   
            A. W. van der Vaart   On Profile Likelihood: Rejoinder . . . . 482--485
             Dennis D. Boos and   
                       Ji Zhang   Monte Carlo Evaluation of
                                  Resampling-Based Hypothesis Tests  . . . 486--492
                 Shuying Li and   
            Dennis K. Pearl and   
                      Hani Doss   Phylogenetic Tree Construction Using
                                  Markov Chain Monte Carlo . . . . . . . . 493--508
           Wolfgang Polonik and   
                      Qiwei Yao   Conditional Minimum Volume Predictive
                                  Regions for Stochastic Processes . . . . 509--519
                 Xihong Lin and   
             Raymond J. Carroll   Nonparametric Function Estimation for
                                  Clustered Data When the Predictor is
                                  Measured Without/With Error  . . . . . . 520--534
         Andrey Feuerverger and   
                     Peter Hall   Methods for Density Estimation in
                                  Thick-Slice Versions of Wicksell's
                                  Problem  . . . . . . . . . . . . . . . . 535--546
                Ker-Chau Li and   
               Heng-Hui Lue and   
                 Chun-Houh Chen   Interactive Tree-Structured Regression
                                  via Principal Hessian Directions . . . . 547--560
              Henry S. Lynn and   
           Charles E. McCulloch   Using Principal Component Analysis and
                                  Correspondence Analysis for Estimation
                                  in Latent Variable Models  . . . . . . . 561--572
            Donald B. Rubin and   
                    Neal Thomas   Combining Propensity Score Matching With
                                  Additional Adjustments for Prognostic
                                  Covariates . . . . . . . . . . . . . . . 573--585
                    Glen Meeden   A Decision Theoretic Approach to
                                  Imputation in Finite Population Sampling 586--595
         Janice M. Weinberg and   
             Stephen W. Lagakos   Asymptotic Behavior of Linear
                                  Permutation Tests Under General
                                  Alternatives, With Application to Test
                                  Selection and Study Design . . . . . . . 596--607
             Ying Qing Chen and   
                 Mei-Cheng Wang   Analysis of Accelerated Hazards Models   608--618
                   Yijian Huang   Two-Sample Multistate Accelerated
                                  Sojourn Times Model  . . . . . . . . . . 619--627
                 Mark P. Becker   [Introduction] . . . . . . . . . . . . . 628--629
                   Andrew W. Lo   Finance: a Selective Survey  . . . . . . 629--635
             Peter E. Rossi and   
                Greg M. Allenby   Statistics and Marketing . . . . . . . . 635--638
                   Ruey S. Tsay   Time Series and Forecasting: Brief
                                  History and Future Research  . . . . . . 638--643
            Stephen E. Fienberg   Contingency Tables and Log-Linear
                                  Models: Basic Results and New
                                  Developments . . . . . . . . . . . . . . 643--647
               Michael E. Sobel   Causal Inference in the Social Sciences  647--651
              Nathaniel L. Beck   Political Methodology: a Welcoming
                                  Discipline . . . . . . . . . . . . . . . 651--654
              Adrian E. Raftery   Statistics in Sociology, 1950--2000  . . 654--661
              Michael W. Browne   Psychometrics  . . . . . . . . . . . . . 661--665
             Theodore Eisenberg   Empirical Methods and the Law  . . . . . 665--669
                         Yu Xie   Demography: Past, Present, and Future    670--673
                      Anonymous   Front Matter . . . . . . . . . . . . . . 674--674
            Mary Kathryn Cowles   Book Review: \booktitle[untitled]  . . . 675--676
              Terry M. Therneau   Book Review: \booktitle[untitled]  . . . 676--677
              Deborah J. Street   Book Review: \booktitle[untitled]  . . . 677--678
                   John Stufken   Book Review: \booktitle[untitled]  . . . 679--679
                James H. Albert   Book Review: \booktitle[untitled]  . . . 679--680
                 Joseph B. Lang   Book Review: \booktitle[untitled]  . . . 680--681
                      P. V. Rao   Book Review: \booktitle[untitled]  . . . 681--682
             Emmanuel J. Candes   Book Review: \booktitle[untitled]  . . . 682--682
               Ronald W. Butler   Book Review: \booktitle[untitled]  . . . 682--683
                  Paolo Paruolo   Book Review: \booktitle[untitled]  . . . 683--685
                Marek Rutkowski   Book Review: \booktitle[untitled]  . . . 685--686
                  Hans Buhlmann   Book Review: \booktitle[untitled]  . . . 686--686
            Hans Eggert Reimers   Book Review: \booktitle[untitled]  . . . 686--687
              Norman R. Swanson   Book Review: \booktitle[untitled]  . . . 687--688
                    Rene Garcia   Book Review: \booktitle[untitled]  . . . 688--688
                   Susan Holmes   Book Review: \booktitle[untitled]  . . . 688--688
                    M. Pratelli   Book Review: \booktitle[untitled]  . . . 688--689
                            MTW   Book Review: \booktitle[untitled]  . . . 689--689
                            MTW   Book Review: \booktitle[untitled]  . . . 689--689
                            RLS   Book Review: \booktitle[untitled]  . . . 689--689
                            TJV   Book Review: \booktitle[untitled]  . . . 689--689
                            TJV   Book Review: \booktitle[untitled]  . . . 689--689
                            TJV   Book Review: \booktitle[untitled]  . . . 689--689
                            TJV   Book Review: \booktitle[untitled]  . . . 689--690
                            MTW   Book Review: \booktitle[untitled]  . . . 690--690
                            MTW   Book Review: \booktitle[untitled]  . . . 690--690
                            TJV   Book Review: \booktitle[untitled]  . . . 690--690
                      Anonymous   Back Matter  . . . . . . . . . . . . . . ??

Journal of the American Statistical Association
Volume 95, Number 451, September, 2000

        Christopher R. Genovese   A Bayesian Time-Course Model for
                                  Functional Magnetic Resonance Imaging
                                  Data . . . . . . . . . . . . . . . . . . 691--703
                David R. Haynor   A Bayesian Time-Course Model for
                                  Functional Magnetic Resonance Imaging
                                  Data: Comment  . . . . . . . . . . . . . 704--704
                    Dave Higdon   A Bayesian Time-Course Model for
                                  Functional Magnetic Resonance Imaging
                                  Data: Comment  . . . . . . . . . . . . . 705--706
              Ranjan Maitra and   
              Rao P. Gullapalli   A Bayesian Time-Course Model for
                                  Functional Magnetic Resonance Imaging
                                  Data: Comment  . . . . . . . . . . . . . 707--708
                   Jonathan Raz   A Bayesian Time-Course Model for
                                  Functional Magnetic Resonance Imaging
                                  Data: Comment  . . . . . . . . . . . . . 709--711
                  K. J. Worsley   A Bayesian Time-Course Model for
                                  Functional Magnetic Resonance Imaging
                                  Data: Comment  . . . . . . . . . . . . . 711--716
        Christopher R. Genovese   A Bayesian Time-Course Model for
                                  Functional Magnetic Resonance Imaging
                                  Data: Rejoinder  . . . . . . . . . . . . 716--719
           George T. Duncan and   
              Sumitra Mukherjee   Optimal Disclosure Limitation Strategy
                                  in Statistical Databases: Deterring
                                  Tracker Attacks through Additive Noise   720--729
         Michael R. Elliott and   
      Roderick J. A. Little and   
                 Steve Lewitzky   Subsampling Callbacks to Improve Survey
                                  Efficiency . . . . . . . . . . . . . . . 730--738
               Dan A. Black and   
             Mark C. Berger and   
                 Frank A. Scott   Bounding Parameter Estimates with
                                  Nonclassical Measurement Error . . . . . 739--748
   Ralph B. D'Agostino, Jr. and   
                Donald B. Rubin   Estimating and Using Propensity Scores
                                  with Partially Missing Data  . . . . . . 749--759
                 Richard Royall   On the Probability of Observing
                                  Misleading Statistical Evidence  . . . . 760--768
                  Michael Evans   On the Probability of Observing
                                  Misleading Statistical Evidence: Comment 768--769
            John D. Kalbfleisch   On the Probability of Observing
                                  Misleading Statistical Evidence: Comment 770--771
              Robert L. Wolpert   On the Probability of Observing
                                  Misleading Statistical Evidence: Comment 771--772
                  A. C. M. Wong   On the Probability of Observing
                                  Misleading Statistical Evidence: Comment 773--773
                 Richard Royall   On the Probability of Observing
                                  Misleading Statistical Evidence:
                                  Rejoinder  . . . . . . . . . . . . . . . 773--780
             R. Dennis Cook and   
                Frank Critchley   Identifying Regression Outliers and
                                  Mixtures Graphically . . . . . . . . . . 781--794
                 Paul Gustafson   Bayesian Regression Modeling with
                                  Interactions and Smooth Effects  . . . . 795--806
                 Zhide Fang and   
               Douglas P. Wiens   Integer-Valued, Minimax Robust Designs
                                  for Estimation and Extrapolation in
                                  Heteroscedastic, Approximately Linear
                                  Models . . . . . . . . . . . . . . . . . 807--818
            Richard Gerlach and   
               Chris Carter and   
                    Robert Kohn   Efficient Bayesian Inference for Dynamic
                                  Mixture Models . . . . . . . . . . . . . 819--828
                   Jong Tae Kim   An Order Selection Criterion for Testing
                                  Goodness of Fit  . . . . . . . . . . . . 829--835
               Jianqing Fan and   
              Hui-Nien Hung and   
                 Wing-Hung Wong   Geometric Understanding of Likelihood
                                  Ratio Statistics . . . . . . . . . . . . 836--841
                  Xiaotong Shen   Linear Regression with Current Status
                                  Data . . . . . . . . . . . . . . . . . . 842--852
        Arnold J. Stromberg and   
                Ola Hossjer and   
             Douglas M. Hawkins   The Least Trimmed Differences Regression
                                  Estimator and Alternatives . . . . . . . 853--864
             Chris J. Lloyd and   
                    M. C. Jones   Nonparametric Density Estimation from
                                  Biased Data with Unknown Biasing
                                  Function . . . . . . . . . . . . . . . . 865--876
          Andrew S. Mugglin and   
          Bradley P. Carlin and   
                Alan E. Gelfand   Fully Model-Based Approaches for
                                  Spatially Misaligned Data  . . . . . . . 877--887
                 Zongwu Cai and   
               Jianqing Fan and   
                       Runze Li   Efficient Estimation and Inferences for
                                  Varying-Coefficient Models . . . . . . . 888--902
                    W. Yung and   
                   J. N. K. Rao   Jackknife Variance Estimation under
                                  Imputation for Estimators Using
                                  Poststratification Information . . . . . 903--915
           Matteo Fischetti and   
     Juan Jose Salazar Gonzalez   Models and Algorithms for Optimizing
                                  Cell Suppression in Tabular Data with
                                  Linear Constraints . . . . . . . . . . . 916--928
            Melanie M. Wall and   
                  Yasuo Amemiya   Estimation for Polynomial Structural
                                  Equation Models  . . . . . . . . . . . . 929--940
                 Zongwu Cai and   
               Jianqing Fan and   
                      Qiwei Yao   Functional-Coefficient Regression Models
                                  for Nonlinear Time Series  . . . . . . . 941--956
              Gilles Celeux and   
              Merrilee Hurn and   
            Christian P. Robert   Computational and Inferential
                                  Difficulties with Mixture Posterior
                                  Distributions  . . . . . . . . . . . . . 957--970
                  Diane Lambert   [Introduction] . . . . . . . . . . . . . 971--971
                    Doug Nychka   Challenges in Understanding the
                                  Atmosphere . . . . . . . . . . . . . . . 972--975
               David Vere-Jones   Seismology --- a Statistical Vignette    975--978
       William S. Cleveland and   
                     Don X. Sun   Internet Traffic Data  . . . . . . . . . 979--985
             Jorma Rissanen and   
                         Bin Yu   Coding and Compression: a Happy Union of
                                  Theory and Practice  . . . . . . . . . . 986--989
                  Jerry Lawless   Statistics in Reliability  . . . . . . . 989--992
        Zachary G. Stoumbos and   
    Marion R. Reynolds, Jr. and   
             Thomas P. Ryan and   
             William H. Woodall   The State of Statistical Process Control
                                  as We Proceed into the 21st Century  . . 992--998
                Bert Gunter and   
                     Dan Holder   Statistics in Preclinical Pharmaceutical
                                  Research and Development . . . . . . . . 998--1001
                 Vijay Nair and   
                Mark Hansen and   
                        Jan Shi   Statistics in Advanced Manufacturing . . 1002--1005
                      Anonymous   Front Matter . . . . . . . . . . . . . . 1006--1006
                    R. T. Ogden   Book Review: \booktitle[untitled]  . . . 1007--1007
                    R. T. Ogden   Book Review: \booktitle[untitled]  . . . 1007--1008
   Sreenivasa Rao Jammalamadaka   Book Review: \booktitle[untitled]  . . . 1008--1008
                Martin T. Wells   Book Review: \booktitle[untitled]  . . . 1008--1008
              Elvezio Ronchetti   Book Review: \booktitle[untitled]  . . . 1008--1009
                 Persi Diaconis   Book Review: \booktitle[untitled]  . . . 1009--1009
               Edward J. Wegman   Book Review: \booktitle[untitled]  . . . 1009--1010
             Stephen L. Rathbun   Book Review: \booktitle[untitled]  . . . 1010--1011
            Mary Kathryn Cowles   Book Review: \booktitle[untitled]  . . . 1011--1012
                  Rebecca Zwick   Book Review: \booktitle[untitled]  . . . 1012--1013
                   Gary Gadbury   Book Review: \booktitle[untitled]  . . . 1013--1014
           Guido M. Kuersteiner   Book Review: \booktitle[untitled]  . . . 1014--1016
   Sreenivasa Rao Jammalamadaka   Book Review: \booktitle[untitled]  . . . 1016--1016
               Michael Sorensen   Book Review: \booktitle[untitled]  . . . 1016--1017
                     R. Helmers   Book Review: \booktitle[untitled]  . . . 1017--1017
             Richard L. Dykstra   Book Review: \booktitle[untitled]  . . . 1017--1018
                      R. Dobrow   Book Review: \booktitle[untitled]  . . . 1018--1019
                 Robert B. Lund   Book Review: \booktitle[untitled]  . . . 1019--1019
                            MTW   Book Review: \booktitle[untitled]  . . . 1019--1019
          Robert L. Strawderman   Book Review: \booktitle[untitled]  . . . 1019--1019
                            MTW   Book Review: \booktitle[untitled]  . . . 1019--1020
                      Anonymous   Correction: Exact Confidence Bounds for
                                  All Contrasts of Three or More
                                  Regression Lines . . . . . . . . . . . . 1020--1020
                      Anonymous   Correction: Efficient Monte Carlo
                                  Methods for Conditional Logistic
                                  Regression . . . . . . . . . . . . . . . 1020--1020
                            MTW   Book Review: \booktitle[untitled]  . . . 1020--1020
                             PE   Book Review: \booktitle[untitled]  . . . 1020--1020
                             PE   Book Review: \booktitle[untitled]  . . . 1020--1020
                            RLS   Book Review: \booktitle[untitled]  . . . 1020--1020
                            SRJ   Book Review: \booktitle[untitled]  . . . 1020--1020
                      Anonymous   Back Matter  . . . . . . . . . . . . . . ??

Journal of the American Statistical Association
Volume 95, Number 452, December, 2000

           John S. Preisser and   
         Andrzej T. Galecki and   
             Kurt K. Lohman and   
           Lynne E. Wagenknecht   Analysis of Smoking Trends with
                                  Incomplete Longitudinal Binary Responses 1021--1031
            James P. Hughes and   
           Barbra A. Richardson   Analysis of a Randomized Trial to
                                  Prevent Vertical Transmission of HIV-1   1032--1043
               Kari Auranen and   
                 Elja Arjas and   
                Tuija Leino and   
                 Aino K. Takala   Transmission of Pneumococcal Carriage in
                                  Families: a Latent Markov Process Model
                                  for Binary Longitudinal Data . . . . . . 1044--1053
            David B. Dunson and   
                     Haibo Zhou   A Bayesian Model for Fecundability and
                                  Sterility  . . . . . . . . . . . . . . . 1054--1062
                    Jin Cao and   
                 Drew Davis and   
          Scott Vander Wiel and   
                         Bin Yu   Time-Varying Network Tomography: Router
                                  Link Data  . . . . . . . . . . . . . . . 1063--1075
             Nicola G. Best and   
             Katja Ickstadt and   
              Robert L. Wolpert   Spatial Poisson Regression for Health
                                  and Exposure Data Measured at Disparate
                                  Resolutions  . . . . . . . . . . . . . . 1076--1088
                Bruno Sanso and   
                   Lelys Guenni   A Nonstationary Multisite Model for
                                  Rainfall . . . . . . . . . . . . . . . . 1089--1100
               Dean A. Follmann   On the Effect of Treatment among
                                  Would-Be Treatment Compliers: An
                                  Analysis of the Multiple Risk Factor
                                  Intervention Trial . . . . . . . . . . . 1101--1109
           Balgobin Nandram and   
                J. Sedransk and   
          Linda Williams Pickle   Bayesian Analysis and Mapping of
                                  Mortality Rates for Chronic Obstructive
                                  Pulmonary Disease  . . . . . . . . . . . 1110--1118
               Paul H. Kvam and   
              Ram C. Tiwari and   
              Jyoti N. Zalkikar   Nonparametric Bayes Estimation of
                                  Contamination Levels Using Observations
                                  from the Residual Distribution . . . . . 1119--1126
              M. J. Bayarri and   
                James O. Berger   $P$ Values for Composite Null Models . . 1127--1142
            James M. Robins and   
          Aad van der Vaart and   
                Valerie Ventura   Asymptotic Distribution of $P$ Values in
                                  Composite Null Models  . . . . . . . . . 1143--1156
                   Hal S. Stern   Asymptotic Distribution of $P$ Values in
                                  Composite Null Models: Comment . . . . . 1157--1159
                  Michael Evans   Asymptotic Distribution of $P$ Values in
                                  Composite Null Models: Comment . . . . . 1160--1163
                 Dennis D. Boos   Asymptotic Distribution of $P$ Values in
                                  Composite Null Models: Comment . . . . . 1163--1164
                 John I. Marden   Asymptotic Distribution of $P$ Values in
                                  Composite Null Models: Comment . . . . . 1164--1166
             Ludovico Piccinato   Asymptotic Distribution of $P$ Values in
                                  Composite Null Models: Comment . . . . . 1166--1167
              M. J. Bayarri and   
                   J. O. Berger   Asymptotic Distribution of $P$ Values in
                                  Composite Null Models: Rejoinder . . . . 1168--1170
            James M. Robins and   
          Aad van der Vaart and   
                Valerie Ventura   Asymptotic Distribution of $P$ Values in
                                  Composite Null Models: Rejoinder . . . . 1171--1172
           Wai-Kwong Cheang and   
             Gregory C. Reinsel   Bias Reduction of Autoregressive
                                  Estimates in Time Series Regression
                                  Model through Restricted Maximum
                                  Likelihood . . . . . . . . . . . . . . . 1173--1184
                   Gunnar Kjell   The Level-Based Stratified Sampling Plan 1185--1191
          Robert L. Strawderman   Estimating the Mean of an Increasing
                                  Stochastic Process at a Censored
                                  Stopping Time  . . . . . . . . . . . . . 1192--1208
               Yijian Huang and   
                     C. Y. Wang   Cox Regression with Accurate Covariates
                                  Unascertainable: a
                                  Nonparametric-Correction Approach  . . . 1209--1219
           Jason A. Osborne and   
             Thomas A. Severini   Inference for Exponential Order
                                  Statistic Models Based on an Integrated
                                  Likelihood Function  . . . . . . . . . . 1220--1228
             Carlos Velasco and   
              Peter M. Robinson   Whittle Pseudo-Maximum Likelihood
                                  Estimation for Nonstationary Time Series 1229--1243
                David Poole and   
              Adrian E. Raftery   Inference for Deterministic Simulation
                                  Models: The Bayesian Melding Approach    1244--1255
               Mary E. Putt and   
           Vernon M. Chinchilli   A Robust Analysis of Crossover Designs
                                  Using Multisample Generalized
                                  $L$-Statistics . . . . . . . . . . . . . 1256--1262
              Ronald H. Randles   A Simpler, Affine-Invariant,
                                  Multivariate, Distribution-Free Sign
                                  Test . . . . . . . . . . . . . . . . . . 1263--1268
                 George Casella   Foreword . . . . . . . . . . . . . . . . 1269--1269
                James O. Berger   Bayesian Analysis: a Look at Today and
                                  Thoughts of Tomorrow . . . . . . . . . . 1269--1276
              Lawrence D. Brown   An Essay on Statistical Decision Theory  1277--1281
              Olivier Cappe and   
            Christian P. Robert   Markov Chain Monte Carlo: 10 Years and
                                  Still Running! . . . . . . . . . . . . . 1282--1286
          Bradley P. Carlin and   
                Thomas A. Louis   Empirical Bayes: Past, Present and
                                  Future . . . . . . . . . . . . . . . . . 1286--1289
             Ronald Christensen   Linear and Log-Linear Models . . . . . . 1290--1293
                  Bradley Efron   The Bootstrap and Modern Statistics  . . 1293--1296
                   Jianqing Fan   Prospects of Nonparametric Modeling  . . 1296--1300
                Alan E. Gelfand   Gibbs Sampling . . . . . . . . . . . . . 1300--1304
               Edward I. George   The Variable Selection Problem . . . . . 1304--1308
   Thomas P. Hettmansperger and   
           Joseph W. McKean and   
              Simon J. Sheather   Robust Nonparametric Methods . . . . . . 1308--1312
                James P. Hobert   Hierarchical Models: a Current
                                  Computational Perspective  . . . . . . . 1312--1316
                 John I. Marden   Hypothesis Testing: From $p$ Values to
                                  Bayes Factors  . . . . . . . . . . . . . 1316--1320
           Charles E. McCulloch   Generalized Linear Models  . . . . . . . 1320--1324
                   Xiao-Li Meng   Missing Data: Dial M for ??? . . . . . . 1325--1330
            Stephen Portnoy and   
                      Xuming He   A Robust Journey in the New Millennium   1331--1335
                        N. Reid   Likelihood . . . . . . . . . . . . . . . 1335--1340
               James Robins and   
                Larry Wasserman   Conditioning, Likelihood, and Coherence:
                                  a Review of Some Foundational Concepts   1340--1346
                        V. Solo   The End of Time Series . . . . . . . . . 1346--1349
                 Ehsan S. Soofi   Principal Information Theoretic
                                  Approaches . . . . . . . . . . . . . . . 1349--1353
                L. A. Stefanski   Measurement Error Models . . . . . . . . 1353--1358
          Robert L. Strawderman   Higher-Order Asymptotic Approximation:
                                  Laplace, Saddlepoint, and Related
                                  Methods  . . . . . . . . . . . . . . . . 1358--1364
         William E. Strawderman   Minimaxity . . . . . . . . . . . . . . . 1364--1368
                 George Casella   Afterword  . . . . . . . . . . . . . . . 1368--1368
                      Anonymous   Front Matter . . . . . . . . . . . . . . 1369--1369
                    M. C. Jones   Book Review: \booktitle[untitled]  . . . 1370--1371
                     Ram Tiwari   Book Review: \booktitle[untitled]  . . . 1371--1372
                     Harry Hurd   Book Review: \booktitle[untitled]  . . . 1372--1373
                Hermann Garbers   Book Review: \booktitle[untitled]  . . . 1373--1373
               David S. Stoffer   Book Review: \booktitle[untitled]  . . . 1373--1373
     Sylvia Fruhwirth-Schnatter   Book Review: \booktitle[untitled]  . . . 1373--1374
             William J. Padgett   Book Review: \booktitle[untitled]  . . . 1374--1375
                 Robert B. Lund   Book Review: \booktitle[untitled]  . . . 1375--1376
   Sreenivasa Rao Jammalamadaka   Book Review: \booktitle[untitled]  . . . 1376--1376
                 Tim Hesterberg   Book Review: \booktitle[untitled]  . . . 1376--1377
                 Persi Diaconis   Book Review: \booktitle[untitled]  . . . 1377--1378
           Laurent Saloff-Coste   Book Review: \booktitle[untitled]  . . . 1378--1378
                      K. Sigman   Book Review: \booktitle[untitled]  . . . 1378--1379
                  Tomasz Rolski   Book Review: \booktitle[untitled]  . . . 1379--1380
                    Uwe Schmock   Book Review: \booktitle[untitled]  . . . 1380--1381
                            MTW   Book Review: \booktitle[untitled]  . . . 1381--1381
                            MTW   Book Review: \booktitle[untitled]  . . . 1381--1381
                            SRJ   Book Review: \booktitle[untitled]  . . . 1381--1381
                            RVL   Book Review: \booktitle[untitled]  . . . 1381--1382
                            MTW   Book Review: \booktitle[untitled]  . . . 1382--1382
                            MTW   Book Review: \booktitle[untitled]  . . . 1382--1382
                            MTW   Book Review: \booktitle[untitled]  . . . 1382--1382
                            RLS   Book Review: \booktitle[untitled]  . . . 1382--1382
                            SRJ   Book Review: \booktitle[untitled]  . . . 1382--1382
                            SRJ   Book Review: \booktitle[untitled]  . . . 1382--1382
                      Anonymous   Volume Information . . . . . . . . . . . 1383--1395
                      Anonymous   Back Matter  . . . . . . . . . . . . . . ??


Journal of the American Statistical Association
Volume 96, Number 453, March, 2001

               Cavan Reilly and   
              Andrew Gelman and   
                  Jonathan Katz   Poststratification Without Population
                                  Level Information on the Poststratifying
                                  Variable With Application to Political
                                  Polling  . . . . . . . . . . . . . . . . 1--11
         William M. Bolstad and   
                Samuel O. Manda   Investigating Child Mortality in Malawi
                                  Using Family and Community Random
                                  Effects: a Bayesian Analysis . . . . . . 12--19
             Peter E. Rossi and   
                 Zvi Gilula and   
                Greg M. Allenby   Overcoming Scale Usage Heterogeneity: a
                                  Bayesian Hierarchical Approach . . . . . 20--31
          Michael D. Larsen and   
                Donald B. Rubin   Iterative Automated Record Linkage Using
                                  Mixture Models . . . . . . . . . . . . . 32--41
         Torben G. Andersen and   
             Tim Bollerslev and   
         Francis X. Diebold and   
                     Paul Labys   The Distribution of Realized Exchange
                                  Rate Volatility  . . . . . . . . . . . . 42--55
                 David Peel and   
          William J. Whiten and   
          Geoffrey J. McLachlan   Fitting Mixtures of Kent Distributions
                                  to Aid in Joint Set Identification . . . 56--63
          Robert G. Aykroyd and   
           John G. B. Haigh and   
                 Gayle T. Allum   Bayesian Methods Applied to Survey Data
                                  From Archeological Magnetometry  . . . . 64--76
           Jon C. Wakefield and   
                 Sara E. Morris   The Bayesian Modeling of Disease Risk in
                                  Relation to a Point Source . . . . . . . 77--91
                  Minge Xie and   
               Kay Tatsuoka and   
               Jerome Sacks and   
               S. Stanley Young   Group Testing With Blockers and
                                  Synergism  . . . . . . . . . . . . . . . 92--102
                  D. Y. Lin and   
                        Z. Ying   Semiparametric and Nonparametric
                                  Regression Analysis of Longitudinal Data 103--113
             Mei-Cheng Wang and   
                 Ying-Qing Chen   Semiparametric and Nonparametric
                                  Regression Analysis of Longitudinal
                                  Data: Comment  . . . . . . . . . . . . . 113--114
                 Xihong Lin and   
             Raymond J. Carroll   Semiparametric and Nonparametric
                                  Regression Analysis of Longitudinal
                                  Data: Comment  . . . . . . . . . . . . . 114--116
           Donald R. Hoover and   
                    Colin O. Wu   Semiparametric and Nonparametric
                                  Regression Analysis of Longitudinal
                                  Data: Comment  . . . . . . . . . . . . . 116--119
             Jane-Ling Wang and   
                       Wei Wang   Semiparametric and Nonparametric
                                  Regression Analysis of Longitudinal
                                  Data: Comment  . . . . . . . . . . . . . 119--123
                  D. Y. Lin and   
                        Z. Ying   Semiparametric and Nonparametric
                                  Regression Analysis of Longitudinal
                                  Data: Rejoinder  . . . . . . . . . . . . 123--126
                 Fangyu Gao and   
                Grace Wahba and   
               Ronald Klein and   
                  Barbara Klein   Smoothing Spline ANOVA for Multivariate
                                  Bernoulli Observations, with Application
                                  to Ophthalmology Data  . . . . . . . . . 127--147
                  T. W. Yee and   
                     C. J. Wild   Smoothing Spline ANOVA for Multivariate
                                  Bernoulli Observations, with Application
                                  to Ophthalmology Data: Comment . . . . . 147--151
                     Sally Wood   Smoothing Spline ANOVA for Multivariate
                                  Bernoulli Observations, with Application
                                  to Ophthalmology Data: Comment . . . . . 151--155
                 Marc Aerts and   
              Geert Molenberghs   Smoothing Spline ANOVA for Multivariate
                                  Bernoulli Observations, with Application
                                  to Ophthalmology Data: Comment . . . . . 155--157
                  Joe Whittaker   Smoothing Spline ANOVA for Multivariate
                                  Bernoulli Observations, with Application
                                  to Ophthalmology Data: Comment . . . . . 157--158
                 Fangyu Gao and   
                Grace Wahba and   
               Ronald Klein and   
                  Barbara Klein   Smoothing Spline ANOVA for Multivariate
                                  Bernoulli Observations, with Application
                                  to Ophthalmology Data: Rejoinder . . . . 158--160
            Hemant Ishwaran and   
              Lancelot F. James   Gibbs Sampling Methods for Stick
                                  Breaking Priors  . . . . . . . . . . . . 161--173
            James O. Berger and   
           Alessandra Guglielmi   Bayesian and Conditional Frequentist
                                  Testing of a Parametric Model Versus
                                  Nonparametric Alternatives . . . . . . . 174--184
                Changbao Wu and   
                Randy R. Sitter   A Model-Calibration Approach to Using
                                  Complete Auxiliary Information From
                                  Survey Data  . . . . . . . . . . . . . . 185--193
Sylvia Frühwirth-Schnatter   Markov Chain Monte Carlo Estimation of
                                  Classical and Dynamic Switching and
                                  Mixture Models . . . . . . . . . . . . . 194--209
              Paul R. Rosenbaum   Stability in the Absence of Treatment    210--219
         Michael G. Akritas and   
            Ingrid Van Keilegom   ANCOVA Methods for Heteroscedastic
                                  Nonparametric Regression Models  . . . . 220--232
           David J. Cummins and   
             Tom G. Filloon and   
                 Douglas Nychka   Confidence Intervals for Nonparametric
                                  Curve Estimates: Toward More Uniform
                                  Pointwise Coverage . . . . . . . . . . . 233--246
             Shanggang Zhou and   
                  Xiaotong Shen   Spatially Adaptive Regression Splines
                                  and Accurate Knot Selection Schemes  . . 247--259
                Jiahua Chen and   
                       Jun Shao   Jackknife Variance Estimation for
                                  Nearest-Neighbor Imputation  . . . . . . 260--269
            Siddhartha Chib and   
                 Ivan Jeliazkov   Marginal Likelihood From the
                                  Metropolis--Hastings Output  . . . . . . 270--281
           Edward F. Vonesh and   
                   Hao Wang and   
                Dibyen Majumdar   Generalized Least Squares, Taylor Series
                                  Linearization and Fisher's Scoring in
                                  Multivariate Nonlinear Regression  . . . 282--291
             Amy H. Herring and   
              Joseph G. Ibrahim   Likelihood-Based Methods for Missing
                                  Covariates in the Cox Proportional
                                  Hazards Model  . . . . . . . . . . . . . 292--302
             Rafael A. Irizarry   Information and Posterior Probability
                                  Criteria for Model Selection in Local
                                  Likelihood Estimation  . . . . . . . . . 303--315
              Diane Lambert and   
    José C. Pinheiro and   
                     Don X. Sun   Estimating Millions of Dynamic Timing
                                  Patterns in Real Time  . . . . . . . . . 316--330
               James H. Steiger   Driving Fast in Reverse: The
                                  Relationship between Software
                                  Development, Theory, and Education in
                                  Structural Equation Modeling . . . . . . 331--338
                      Anonymous   Front Matter . . . . . . . . . . . . . . 339--339
                      Anonymous   Book Reviews . . . . . . . . . . . . . . 339
                  Don Ylvisaker   Book Review: \booktitle[untitled]  . . . 340--341
                  John E. Rolph   Book Review: \booktitle[untitled]  . . . 341--342
                Martin T. Wells   Book Review: \booktitle[untitled]  . . . 342--342
                  Osnat Stramer   Book Review: \booktitle[untitled]  . . . 342--343
                     M. P. Wand   Book Review: \booktitle[untitled]  . . . 343--343
              Jeffrey S. Racine   Book Review: \booktitle[untitled]  . . . 343--345
           Timothy J. Vogelsang   Book Review: \booktitle[untitled]  . . . 345--345
                  Peter Pedroni   Book Review: \booktitle[untitled]  . . . 345--346
           Timothy J. Vogelsang   Book Review: \booktitle[untitled]  . . . 346--347
        Peter F. Christoffersen   Book Review: \booktitle[untitled]  . . . 347--348
                 Bruce Ankenman   Book Review: \booktitle[untitled]  . . . 348--348
               O. Schabenberger   Book Review: \booktitle[untitled]  . . . 348--349
                   Peter Callas   Book Review: \booktitle[untitled]  . . . 349--351
                Michael Elliott   Book Review: \booktitle[untitled]  . . . 351--352
                    Subir Ghosh   Book Review: \booktitle[untitled]  . . . 352--352
            A. W. van der Vaart   Book Review: \booktitle[untitled]  . . . 352--353
                 Piotr Kokoszka   Book Review: \booktitle[untitled]  . . . 353--354
           Timothy J. Vogelsang   Book Review: \booktitle[untitled]  . . . 354--354
           Timothy J. Vogelsang   Book Review: \booktitle[untitled]  . . . 354--354
                Martin T. Wells   Book Review: \booktitle[untitled]  . . . 354--354
                Martin T. Wells   Book Review: \booktitle[untitled]  . . . 354--354
                Martin T. Wells   Book Review: \booktitle[untitled]  . . . 354--354
                Martin T. Wells   Book Review: \booktitle[untitled]  . . . 354--354
   Sreenivasa Rao Jammalamadaka   Book Review: \booktitle[untitled]  . . . 354--355
                      Anonymous   Correction: Bayesian Morphology: Fast
                                  Unsupervised Bayesian Image Analysis . . 356--356
                      Anonymous   Correction . . . . . . . . . . . . . . . 356
                      Anonymous   Back Matter  . . . . . . . . . . . . . . ??

Journal of the American Statistical Association
Volume 96, Number 454, June, 2001

             Rafael A. Irizarry   Local Harmonic Estimation in Musical
                                  Sound Signals  . . . . . . . . . . . . . 357--367
            Eric T. Bradlow and   
                 Peter S. Fader   A Bayesian Lifetime Model for the ``Hot
                                  100'' \em Billboard Songs  . . . . . . . 368--381
       Christopher K. Wikle and   
           Ralph F. Milliff and   
                Doug Nychka and   
               L. Mark Berliner   Spatiotemporal Hierarchical Bayesian
                                  Modeling Tropical Ocean Surface Winds    382--397
                P. J. Brown and   
                   T. Fearn and   
                    M. Vannucci   Bayesian Wavelet Regression on Curves
                                  With Application to a Spectroscopic
                                  Calibration Problem  . . . . . . . . . . 398--408
               Jonathan Raz and   
          Bruce I. Turetsky and   
             Linda W. Dickerson   Inference for a Random Wavelet Packet
                                  Model of Single-Channel Event-Related
                                  Potentials . . . . . . . . . . . . . . . 409--420
            Stuart G. Baker and   
                 Paul F. Pinsky   A Proposed Design and Analysis for
                                  Comparing Digital and Analog
                                  Mammography: Special Receiver Operating
                                  Characteristic Methods for Cancer
                                  Screening  . . . . . . . . . . . . . . . 421--428
           Steven J. Skates and   
            Donna K. Pauler and   
                  Ian J. Jacobs   Screening Based on the Risk of Cancer
                                  Calculation From Bayesian Hierarchical
                                  Changepoint and Mixture Models of
                                  Longitudinal Markers . . . . . . . . . . 429--439
    Miguel A. Hernán and   
           Babette Brumback and   
                James M. Robins   Marginal Structural Models to Estimate
                                  the Joint Causal Effect of Nonrandomized
                                  Treatments . . . . . . . . . . . . . . . 440--448
          Judith D. Bebchuk and   
            Rebecca A. Betensky   Local Likelihood Analysis of Survival
                                  Data With Censored Intermediate Events   449--457
              Roger Koenker and   
                    Olga Geling   Reappraising Medfly Longevity: a
                                  Quantile Regression Survival Analysis    458--468
                Jianguo Sun and   
               Yang-jin Kim and   
                John Hewett and   
            Jane C. Johnson and   
               Janet Farmer and   
                Michelle Gibler   Evaluation of Traffic Injury Prevention
                                  Programs Using Counting Process
                                  Approaches . . . . . . . . . . . . . . . 469--475
              Ranjan Maitra and   
            Siddhartha R. Dalal   Pay Phones, Parking Meters, Vending
                                  Machines, and Optimal Bayesian Decisions
                                  on Collection Times  . . . . . . . . . . 476--487
         William B. Fairley and   
            Alan J. Izenman and   
                Steven M. Crunk   Combining Incomplete Information From
                                  Independent Assessment Surveys for
                                  Estimating Masonry Deterioration . . . . 488--499
    Franc J. G. M. Klaassen and   
                  Jan R. Magnus   Are Points in Tennis Independent and
                                  Identically Distributed? Evidence From a
                                  Dynamic Binary Panel Data Model  . . . . 500--509
            Ilaria Dimatteo and   
               Joseph B. Kadane   Vote Tampering in a District Justice
                                  Election in Beaver County, PA  . . . . . 510--518
                Alois Kneip and   
                Klaus J. Utikal   Inference for Density Families Using
                                  Functional Principal Component Analysis  519--532
                   J. S. Marron   Inference for Density Families Using
                                  Functional Principal Component Analysis:
                                  Comment  . . . . . . . . . . . . . . . . 532--533
             Jeng-Min Chiou and   
              Hans-Georg Muller   Inference for Density Families Using
                                  Functional Principal Component Analysis:
                                  Comment  . . . . . . . . . . . . . . . . 534--537
                 Julian Faraway   Inference for Density Families Using
                                  Functional Principal Component Analysis:
                                  Comment  . . . . . . . . . . . . . . . . 537--537
                   J. O. Ramsay   Inference for Density Families Using
                                  Functional Principal Component Analysis:
                                  Comment  . . . . . . . . . . . . . . . . 538--539
                Alois Kneip and   
                Klaus J. Utikal   Inference for Density Families Using
                                  Functional Principal Component Analysis:
                                  Rejoinder  . . . . . . . . . . . . . . . 540--542
          Hernando C. Ombao and   
            Jonathan A. Raz and   
           Rainer von Sachs and   
                  Beth A. Malow   Automatic Statistical Analysis of
                                  Bivariate Nonstationary Time Series. In
                                  Memory of Jonathan A. Raz  . . . . . . . 543--560
                 Jun S. Liu and   
               Faming Liang and   
                 Wing Hung Wong   A Theory for Dynamic Weighting in Monte
                                  Carlo Computation  . . . . . . . . . . . 561--573
                    Yuhong Yang   Adaptive Regression by Mixing  . . . . . 574--588
              Hyunjoong Kim and   
                    Wei Yin Loh   Classification Trees With Unbiased
                                  Multiway Splits  . . . . . . . . . . . . 589--604
          Chin-Tsang Chiang and   
               John A. Rice and   
                    Colin O. Wu   Smoothing Spline Estimation for Varying
                                  Coefficient Models With Repeatedly
                                  Measured Dependent Variables . . . . . . 605--619
                  D. Y. Lin and   
                  L. J. Wei and   
                        Z. Ying   Semiparametric Transformation Models for
                                  Point Processes  . . . . . . . . . . . . 620--628
             Maarten Jansen and   
               Adhemar Bultheel   Empirical Bayes Approach to Improve
                                  Wavelet Thresholding for Image Noise
                                  Reduction  . . . . . . . . . . . . . . . 629--639
               Jianqing Fan and   
                  Li-Shan Huang   Goodness-of-Fit Tests for Parametric
                                  Regression Models  . . . . . . . . . . . 640--652
               Faming Liang and   
                 Wing Hung Wong   Real-Parameter Evolutionary Monte Carlo
                                  With Applications to Bayesian Mixture
                                  Models . . . . . . . . . . . . . . . . . 653--666
                 Sam Efromovich   Density Estimation Under Random
                                  Censorship and Order Restrictions: From
                                  Asymptotic to Small Samples  . . . . . . 667--684
              Willem Albers and   
   Wilbert C. M. Kallenberg and   
                  Felix Martini   Data-Driven Rank Tests for Classes of
                                  Tail Alternatives  . . . . . . . . . . . 685--696
               Tae-Hwan Kim and   
                  Halbert White   James--Stein-Type Estimators in Large
                                  Samples With Application to the Least
                                  Absolute Deviations Estimator  . . . . . 697--705
              Su-Chun Cheng and   
                   Naisyin Wang   Linear Transformation Models for Failure
                                  Time Data With Covariate Measurement
                                  Error  . . . . . . . . . . . . . . . . . 706--716
             Peter S. Craig and   
          Michael Goldstein and   
        Jonathan C. Rougier and   
               Allan H. Seheult   Bayesian Forecasting for Complex Systems
                                  Using Computer Simulators  . . . . . . . 717--729
             Maren K. Olsen and   
              Joseph L. Schafer   A Two-Part Random-Effects Model for
                                  Semicontinuous Longitudinal Data . . . . 730--745
             Mark H. Hansen and   
                         Bin Yu   Model Selection and the Principle of
                                  Minimum Description Length . . . . . . . 746--774
                      Anonymous   Front Matter . . . . . . . . . . . . . . 775--775
                      Anonymous   Book Reviews . . . . . . . . . . . . . . 775
            C. M. Anderson-Cook   Book Review: \booktitle[untitled]  . . . 776--777
                     Joel Dubin   Book Review: \booktitle[untitled]  . . . 777--778
                 Lawrence Brown   Book Review: \booktitle[untitled]  . . . 778--778
          Robert L. Strawderman   Book Review: \booktitle[untitled]  . . . 778--778
                   Martin Wells   Book Review: \booktitle[untitled]  . . . 778--778
                    Rick Cleary   Book Review: \booktitle[untitled]  . . . 779--779
                       C. Geyer   Book Review: \booktitle[untitled]  . . . 779--779
   Sreenivasa Rao Jammalamadaka   Book Review: \booktitle[untitled]  . . . 779--780
                  A. D. Barbour   Book Review: \booktitle[untitled]  . . . 780--780
                Catalin Starica   Book Review: \booktitle[untitled]  . . . 780--780
                 Alan C. Kimber   Book Review: \booktitle[untitled]  . . . 780--781
                Alec D. MacCall   Book Review: \booktitle[untitled]  . . . 781--781
                James E. Duarte   Book Review: \booktitle[untitled]  . . . 781--782
          Robert L. Strawderman   Book Review: \booktitle[untitled]  . . . 782--783
                 Paul Embrechts   Book Review: \booktitle[untitled]  . . . 783--783
                 Paul Embrechts   Book Review: \booktitle[untitled]  . . . 783--783
   Sreenivasa Rao Jammalamadaka   Book Review: \booktitle[untitled]  . . . 783--783
                   Martin Wells   Book Review: \booktitle[untitled]  . . . 783--783
                   Martin Wells   Book Review: \booktitle[untitled]  . . . 783--783
                      Anonymous   Corrections: Classes of Nonseparable,
                                  Spatio-Temporal Stationary Covariance
                                  Functions  . . . . . . . . . . . . . . . 784--784
                      Anonymous   Corrections: Smoothing Spline ANOVA for
                                  Multivariate Bernoulli Observations,
                                  with Application to Ophthalmology Data   784--784
                      Anonymous   Corrections  . . . . . . . . . . . . . . 784
                      Anonymous   Back Matter  . . . . . . . . . . . . . . ??

Journal of the American Statistical Association
Volume 96, Number 455, September, 2001

                Dave Higdon and   
                 Steve Yamamoto   Estimation of the Head Sensitivity
                                  Function in Scanning Magnetoresistance
                                  Microscopy . . . . . . . . . . . . . . . 785--793
              David J. Nott and   
     William T. M. Dunsmuir and   
                Robert Kohn and   
                 Frank Woodcock   Statistical Correction of a
                                  Deterministic Numerical Weather
                                  Prediction Model . . . . . . . . . . . . 794--804
          M. C. M. de Gunst and   
          H. R. Künsch and   
                 J. G. Schouten   Statistical Analysis of Ion Channel Data
                                  Using Hidden Markov Models With
                                  Correlated State-Dependent Noise and
                                  Filtering  . . . . . . . . . . . . . . . 805--815
          Jeffrey S. Morris and   
               Naisyin Wang and   
           Joanne R. Lupton and   
          Robert S. Chapkin and   
            Nancy D. Turner and   
             Mee Young Hong and   
             Raymond J. Carroll   Parametric and Nonparametric Methods for
                                  Understanding the Relationship Between
                                  Carcinogen-Induced DNA Adduct Levels in
                                  Distal and Proximal Regions of the Colon 816--826
          Peter H. Westfall and   
                 Keith A. Soper   Using Priors to Improve Multiple Animal
                                  Carcinogenicity Tests  . . . . . . . . . 827--834
            Ajit C. Tamhane and   
         Charles W. Dunnett and   
              John W. Green and   
        Jeffrey D. Wetherington   Multiple Test Procedures for Identifying
                                  the Maximum Safe Dose  . . . . . . . . . 835--843
          Michael E. Miller and   
         Thomas R. Ten Have and   
          Beth A. Reboussin and   
             Kurt K. Lohman and   
                W. Jack Rejeski   A Marginal Model for Analyzing Discrete
                                  Outcomes From Longitudinal Surveys With
                                  Outcomes Subject to Multiple-Cause
                                  Nonresponse  . . . . . . . . . . . . . . 844--857
          Alan M. Zaslavsky and   
         Nathaniel Schenker and   
                Thomas R. Belin   Downweighting Influential Clusters in
                                  Surveys: Application to the 1990 Post
                                  Enumeration Survey . . . . . . . . . . . 858--869
             Yunfei Paul Li and   
        Kathleen J. Propert and   
              Paul R. Rosenbaum   Balanced Risk Set Matching . . . . . . . 870--882
            Dana P. Goldman and   
       Jayanta Bhattacharya and   
        Daniel F. McCaffrey and   
                Naihua Duan and   
        Arleen A. Leibowitz and   
          Geoffrey F. Joyce and   
                Sally C. Morton   Effect of Insurance on Mortality in an
                                  HIV-Positive Population in Care  . . . . 883--894
                   Yan Wang and   
            Jeremy M. G. Taylor   Jointly Modeling Longitudinal and Event
                                  Time Data With Application to Acquired
                                  Immunodeficiency Syndrome  . . . . . . . 895--905
             Wenzheng Huang and   
             Scott L. Zeger and   
           James C. Anthony and   
              Elizabeth Garrett   Latent Variable Model for Joint Analysis
                                  of Multiple Repeated Measures and
                                  Bivariate Event Times  . . . . . . . . . 906--914
             C. Shane Reese and   
            James A. Calvin and   
             John C. George and   
             Raymond J. Tarpley   Estimation of Fetal Growth and Gestation
                                  in Bowhead Whales  . . . . . . . . . . . 915--923
                Naomi S. Altman   Estimation of Fetal Growth and Gestation
                                  in Bowhead Whales: Comment . . . . . . . 923--925
             Geof H. Givens and   
                    David Poole   Estimation of Fetal Growth and Gestation
                                  in Bowhead Whales: Comment . . . . . . . 926--928
      Terrance J. Quinn, II and   
               Sally A. Mizroch   Estimation of Fetal Growth and Gestation
                                  in Bowhead Whales: Comment . . . . . . . 928--933
                  Judith E. Zeh   Estimation of Fetal Growth and Gestation
                                  in Bowhead Whales: Comment . . . . . . . 933--935
             C. Shane Reese and   
            James A. Calvin and   
             John C. George and   
             Raymond J. Tarpley   Estimation of Fetal Growth and Gestation
                                  in Bowhead Whales: Rejoinder . . . . . . 935--938
         Anestis Antoniadis and   
                   Jianqing Fan   Regularization of Wavelet Approximations 939--955
                Brani Vidakovic   Regularization of Wavelet
                                  Approximations: Discussion . . . . . . . 956--958
                  Pierre Moulin   Regularization of Wavelet
                                  Approximations: Discussion . . . . . . . 959--960
                    T. Tony Cai   Regularization of Wavelet
                                  Approximations: Discussion . . . . . . . 960--962
                        V. Solo   Regularization of Wavelet
                                  Approximations: Discussion . . . . . . . 963--964
              A. Antoniadis and   
                         J. Fan   Regularization of Wavelet
                                  Approximations: Rejoinder  . . . . . . . 964--967
              Tze Leung Lai and   
           Samuel Po-Shing Wong   Stochastic Neural Networks With
                                  Applications to Nonlinear Time Series    968--981
             Chun Shan Wong and   
                   Wai Keung Li   On a Mixture Autoregressive Conditional
                                  Heteroscedastic Model  . . . . . . . . . 982--995
             Efstathia Bura and   
                 R. Dennis Cook   Extending Sliced Inverse Regression: the
                                  Weighted Chi-Squared Test  . . . . . . . 996--1003
            Paul J. Rathouz and   
                 Kung-Yee Liang   Locally Ancillary Quasi-Score Models for
                                  Errors-in-Covariates . . . . . . . . . . 1004--1013
                Ker-Chau Li and   
                  Kerby Shedden   Monte Carlo Deconvolution of Digital
                                  Signals Guided by the Inverse Filter . . 1014--1021
                Eva Cantoni and   
              Elvezio Ronchetti   Robust Inference for Generalized Linear
                                  Models . . . . . . . . . . . . . . . . . 1022--1030
                 Man-Suk Oh and   
              Adrian E. Raftery   Bayesian Multidimensional Scaling and
                                  Choice of Dimension  . . . . . . . . . . 1031--1044
                 Xihong Lin and   
             Raymond J. Carroll   Semiparametric Regression for Clustered
                                  Data Using Generalized Estimating
                                  Equations  . . . . . . . . . . . . . . . 1045--1056
             Mei-Cheng Wang and   
                   Jing Qin and   
              Chin-Tsang Chiang   Analyzing Recurrent Event Data With
                                  Informative Censoring  . . . . . . . . . 1057--1065
              Ignacio N. Lobato   Testing That a Dependent Process Is
                                  Uncorrelated . . . . . . . . . . . . . . 1066--1076
          Krzysztof Nowicki and   
             Tom A. B. Snijders   Estimation and Prediction for Stochastic
                                  Blockstructures  . . . . . . . . . . . . 1077--1087
               Helle Bunzel and   
         Nicholas M. Kiefer and   
           Timothy J. Vogelsang   Simple Robust Testing of Hypotheses in
                                  Nonlinear Models . . . . . . . . . . . . 1088--1096
               A. M. Foster and   
                    L. Tian and   
                      L. J. Wei   Estimation for the Box--Cox
                                  Transformation Model Without Assuming
                                  Parametric Error Distribution  . . . . . 1097--1101
     Ralitza V. Gueorguieva and   
                   Alan Agresti   A Correlated Probit Model for Joint
                                  Modeling of Clustered Binary and
                                  Continuous Responses . . . . . . . . . . 1102--1112
    Enrique González and   
                  Josep Ginebra   Bayesian Heuristic for Multiperiod
                                  Control  . . . . . . . . . . . . . . . . 1113--1121
                   Cong Han and   
              Bradley P. Carlin   Markov Chain Monte Carlo Methods for
                                  Computing Bayes Factors: a Comparative
                                  Review . . . . . . . . . . . . . . . . . 1122--1132
                      Anonymous   Front Matter . . . . . . . . . . . . . . 1133--1133
                      Anonymous   Book Reviews . . . . . . . . . . . . . . 1133
                Roy F. Bartlett   Book Review: \booktitle[untitled]  . . . 1134--1135
                    V. J. Carey   Book Review: \booktitle[untitled]  . . . 1135--1136
                   James Gentle   Book Review: \booktitle[untitled]  . . . 1136--1137
                Martin T. Wells   Book Review: \booktitle[untitled]  . . . 1137--1138
               Debasis Sengupta   Book Review: \booktitle[untitled]  . . . 1138--1138
                   Hyune-Ju Kim   Book Review: \booktitle[untitled]  . . . 1138--1139
             Adrian V. Gheorghe   Book Review: \booktitle[untitled]  . . . 1139--1140
                  Mary C. Meyer   Book Review: \booktitle[untitled]  . . . 1140--1141
          Robert L. Strawderman   Book Review: \booktitle[untitled]  . . . 1141--1141
                Martin T. Wells   Book Review: \booktitle[untitled]  . . . 1141--1141
                Martin T. Wells   Book Review: \booktitle[untitled]  . . . 1141--1141
                Martin T. Wells   Book Review: \booktitle[untitled]  . . . 1141--1141
                Martin T. Wells   Book Review: \booktitle[untitled]  . . . 1141--1141
                Martin T. Wells   Book Review: \booktitle[untitled]  . . . 1141--1141
                      Anonymous   Telegraphic Reviews  . . . . . . . . . . 1141
                      Anonymous   Back Matter  . . . . . . . . . . . . . . ??

Journal of the American Statistical Association
Volume 96, Number 456, December, 2001

            W. Michael O'Fallon   Statistical Meetings: View of Past,
                                  Vision of Future . . . . . . . . . . . . 1143--1150
              Bradley Efron and   
          Robert Tibshirani and   
             John D. Storey and   
                Virginia Tusher   Empirical Bayes Analysis of a Microarray
                                  Experiment . . . . . . . . . . . . . . . 1151--1160
        Dhammika Amaratunga and   
                 Javier Cabrera   Analysis of Data From Viral DNA
                                  Microchips . . . . . . . . . . . . . . . 1161--1170
               Eun Sug Park and   
              Peter Guttorp and   
                Ronald C. Henry   Multivariate Receptor Modeling for
                                  Temporally Correlated Data by Using MCMC 1171--1183
             J. R. Lockwood and   
          Mark J. Schervish and   
             Patrick Gurian and   
              Mitchell J. Small   Characterization of Arsenic Occurrence
                                  in Source Waters of U.S. Community Water
                                  Systems  . . . . . . . . . . . . . . . . 1184--1193
             Brent A. Coull and   
            James P. Hobert and   
             Louise M. Ryan and   
                Lewis B. Holmes   Crossed Random Effect Models for
                                  Multiple Outcomes in a Study of
                                  Teratogenesis  . . . . . . . . . . . . . 1194--1204
            Dean Billheimer and   
              Peter Guttorp and   
               William F. Fagan   Statistical Interpretation of Species
                                  Composition  . . . . . . . . . . . . . . 1205--1214
          Peter Müller and   
             Gary L. Rosner and   
         Lurdes Y. T. Inoue and   
               Mark W. Dewhirst   A Bayesian Model for Detecting Acute
                                  Change in Nonlinear Profiles . . . . . . 1215--1222
              John M. Abowd and   
        Bruno Crépon and   
                Francis Kramarz   Moment Estimation With Attrition: An
                                  Application to Economic Models . . . . . 1223--1231
            Linda H. Y. Yau and   
             Roderick J. Little   Inference for the Complier-Average
                                  Causal Effect From Longitudinal Data
                                  Subject to Noncompliance and Missing
                                  Data, With Application to a Job Training
                                  Assessment for the Unemployed  . . . . . 1232--1244
                      Bo Lu and   
             Elaine Zanutto and   
              Robert Hornik and   
              Paul R. Rosenbaum   Matching With Doses in an Observational
                                  Study of a Media Campaign Against Drug
                                  Abuse  . . . . . . . . . . . . . . . . . 1245--1253
               Joel L. Horowitz   Should the DEA's STRIDE Data Be Used for
                                  Economic Analyses of Markets for Illegal
                                  Drugs? . . . . . . . . . . . . . . . . . 1254--1262
           Jonathan P. Caulkins   [Should the DEA's STRIDE Data Be Used
                                  for Economic Analyses of Markets for
                                  Illegal Drugs?]: Comment . . . . . . . . 1263--1264
             William Rhodes and   
                     Ryan Kling   [Should the DEA's STRIDE Data Be Used
                                  for Economic Analyses of Markets for
                                  Illegal Drugs?]: Comment . . . . . . . . 1264--1266
                   Lonnie Magee   [Should the DEA's STRIDE Data Be Used
                                  for Economic Analyses of Markets for
                                  Illegal Drugs?]: Comment . . . . . . . . 1266--1268
                   Jeff Grogger   [Should the DEA's STRIDE Data Be Used
                                  for Economic Analyses of Markets for
                                  Illegal Drugs?]: Comment . . . . . . . . 1268--1269
               Joel L. Horowitz   [Should the DEA's STRIDE Data Be Used
                                  for Economic Analyses of Markets for
                                  Illegal Drugs?]: Rejoinder . . . . . . . 1269--1271
                 Chunlei Ke and   
                   Yuedong Wang   Semiparametric Nonlinear Mixed-Effects
                                  Models and Their Applications  . . . . . 1272--1281
                Theo Gasser and   
              Burkhardt Seifert   [Semiparametric Nonlinear Mixed-Effects
                                  Models and Their Applications]: Comment  1282--1283
                   J. O. Ramsay   [Semiparametric Nonlinear Mixed-Effects
                                  Models and Their Applications]: Comment  1283--1284
               J. L. French and   
              E. E. Kammann and   
                     M. P. Wand   [Semiparametric Nonlinear Mixed-Effects
                                  Models and Their Applications]: Comment  1285--1288
                 Xihong Lin and   
                   Daowen Zhang   [Semiparametric Nonlinear Mixed-Effects
                                  Models and Their Applications]: Comment  1288--1291
           Douglas M. Bates and   
          Mary J. Lindstrom and   
                    Grace Wahba   [Semiparametric Nonlinear Mixed-Effects
                                  Models and Their Applications]: Comment  1292--1293
                 Chunlei Ke and   
                   Yuedong Wang   [Semiparametric Nonlinear Mixed-Effects
                                  Models and Their Applications]:
                                  Rejoinder  . . . . . . . . . . . . . . . 1294--1298
          E. A. Peña and   
          R. L. Strawderman and   
                   M. Hollander   Nonparametric Estimation With Recurrent
                                  Event Data . . . . . . . . . . . . . . . 1299--1315
            Hemant Ishwaran and   
          Lancelot F. James and   
                    Jiayang Sun   Bayesian Model Selection in Finite
                                  Mixtures by Marginal Density
                                  Decompositions . . . . . . . . . . . . . 1316--1332
       Wolfgang Härdle and   
            Stefan Sperlich and   
              Vladimir Spokoiny   Structural Tests in Additive Regression  1333--1347
               Jianqing Fan and   
                       Runze Li   Variable Selection via Nonconcave
                                  Penalized Likelihood and its Oracle
                                  Properties . . . . . . . . . . . . . . . 1348--1360
            James O. Berger and   
         Victor De Oliveira and   
             Bruno Sansó   Objective Bayesian Analysis of Spatially
                                  Correlated Data  . . . . . . . . . . . . 1361--1374
           Paola Sebastiani and   
                   Marco Ramoni   Bayesian Selection of Decomposable
                                  Models With Incomplete Data  . . . . . . 1375--1386
       Göran Kauermann and   
             Raymond J. Carroll   A Note on the Efficiency of Sandwich
                                  Covariance Matrix Estimation . . . . . . 1387--1396
                Jaeyong Lee and   
                James O. Berger   Semiparametric Bayesian Analysis of
                                  Selection Models . . . . . . . . . . . . 1397--1409
               S. A. Murphy and   
         M. J. van der Laan and   
               J. M. Robins and   
Conduct Problems Prevention Research Group   Marginal Mean Models for Dynamic Regimes 1410--1423
            Thomas M. Braun and   
                    Ziding Feng   Optimal Permutation Tests for the
                                  Analysis of Group Randomized Trials  . . 1424--1432
         Daniel Peña and   
            Francisco J. Prieto   Cluster Identification Using Projections 1433--1445
                   Hua Yun Chen   Weighted Semiparametric Likelihood
                                  Method for Fitting a Proportional Odds
                                  Regression Model to Data From the
                                  Case-Cohort Design . . . . . . . . . . . 1446--1457
          Athanasios Kottas and   
                Alan E. Gelfand   Bayesian Semiparametric Median
                                  Regression Modeling  . . . . . . . . . . 1458--1468
               Yijian Huang and   
                     C. Y. Wang   Consistent Functional Methods for
                                  Logistic Regression With Errors in
                                  Covariates . . . . . . . . . . . . . . . 1469--1482
              You Sung Park and   
               Kee Whan Kim and   
                   Jai Won Choi   One-Level Rotation Design Balanced on
                                  Time in Monthly Sample and in Rotation
                                  Group  . . . . . . . . . . . . . . . . . 1483--1496
       Francesco Bartolucci and   
            Antonio Forcina and   
            Valentino Dardanoni   Positive Quadrant Dependence and
                                  Marginal Modeling in Two-Way Tables With
                                  Ordered Margins  . . . . . . . . . . . . 1497--1505
                   Hoon Kim and   
                Dongchu Sun and   
            Robert K. Tsutakawa   A Bivariate Bayes Method for Improving
                                  the Estimates of Mortality Rates With a
                                  Twofold Conditional Autoregressive Model 1506--1521
                      Anonymous   Front Matter . . . . . . . . . . . . . . 1522--1522
                      Anonymous   Book Reviews . . . . . . . . . . . . . . 1522
                  David Ruppert   Book Review: \booktitle[untitled]  . . . 1523--1524
                  David Madigan   Book Review: \booktitle[untitled]  . . . 1524--1524
             Ronald Christensen   Book Review: \booktitle[untitled]  . . . 1524--1525
            Alexander J. McNeil   Book Review: \booktitle[untitled]  . . . 1525--1526
                      Anonymous   [untitled] . . . . . . . . . . . . . . . 1526--1526
                Martin T. Wells   Book Review: \booktitle[untitled]  . . . 1526--1526
                     Elias Shiu   Book Review: \booktitle[untitled]  . . . 1527--1527
                   Geert Dhaene   Book Review: \booktitle[untitled]  . . . 1527--1528
            Rajeshwari Sundaram   Book Review: \booktitle[untitled]  . . . 1528--1528
                 Robert J. Boik   Book Review: \booktitle[untitled]  . . . 1528--1529
               William W. Davis   Book Review: \booktitle[untitled]  . . . 1529--1530
          Robert L. Strawderman   Book Review: \booktitle[untitled]  . . . 1530--1530
          Robert L. Strawderman   Book Review: \booktitle[untitled]  . . . 1530--1530
                Martin T. Wells   Book Review: \booktitle[untitled]  . . . 1530--1531
                Kenneth N. Berk   Book Review: \booktitle[untitled]  . . . 1531--1531
                Martin T. Wells   Book Review: \booktitle[untitled]  . . . 1531--1532
                 Paul Embrechts   Book Review: \booktitle[untitled]  . . . 1532--1532
   Sreenivasa Rao Jammalamadaka   Book Review: \booktitle[untitled]  . . . 1532--1532
                 Robert B. Lund   Book Review: \booktitle[untitled]  . . . 1532--1532
          Robert L. Strawderman   Book Review: \booktitle[untitled]  . . . 1532--1532
              Stanley Wasserman   Book Review: \booktitle[untitled]  . . . 1532--1532
                Martin T. Wells   Book Review: \booktitle[untitled]  . . . 1532--1532
                Martin T. Wells   Book Review: \booktitle[untitled]  . . . 1532--1532
                Martin T. Wells   Book Review: \booktitle[untitled]  . . . 1533--1533
                      Anonymous   Corrections: Comparing Classical and
                                  Resistant Outlier Rules  . . . . . . . . 1534--1534
                      Anonymous   Corrections: Likelihood-Based Methods
                                  for Missing Covariates in the Cox
                                  Proportional Hazards Model . . . . . . . 1534--1534
                      Anonymous   Corrections  . . . . . . . . . . . . . . 1534
                      Anonymous   Volume Information . . . . . . . . . . . 1535--1543
                      Anonymous   Back Matter  . . . . . . . . . . . . . . ??


Journal of the American Statistical Association
Volume 97, Number 457, March, 2002

           Richard L. Scheaffer   Statistical Bridges  . . . . . . . . . . 1--7
           Valen E. Johnson and   
           Robert O. Deaner and   
            Carel P. van Schaik   Bayesian Analysis of Rank Data With
                                  Application to Primate Intelligence
                                  Experiments  . . . . . . . . . . . . . . 8--17
          Alfhild Lien Eide and   
               Henning Omre and   
             Bjòrn Ursin   Prediction of Reservoir Variables Based
                                  on Seismic Data and Well Observations    18--28
             Peter F. Thall and   
             Hsi-Guang Sung and   
                 Elihu H. Estey   Selecting Therapeutic Strategies Based
                                  on Efficacy and Death in Multicourse
                                  Clinical Trials  . . . . . . . . . . . . 29--39
                  Jason Roy and   
                     Xihong Lin   Analysis of Multivariate Longitudinal
                                  Outcomes With Nonignorable Dropouts and
                                  Missing Covariates: Changes in Methadone
                                  Treatment Practices  . . . . . . . . . . 40--52
                 Haiqun Lin and   
          Bruce W. Turnbull and   
       Charles E. McCulloch and   
             Elizabeth H. Slate   Latent Class Models for Joint Analysis
                                  of Longitudinal Biomarker and Event
                                  Process Data: Application to
                                  Longitudinal Prostate-Specific Antigen
                                  Readings and Prostate Cancer . . . . . . 53--65
              Mark R. Segal and   
              Joseph L. Wiemels   Clustering of Translocation Breakpoints  66--76
            Sandrine Dudoit and   
             Jane Fridlyand and   
               Terence P. Speed   Comparison of Discrimination Methods for
                                  the Classification of Tumors Using Gene
                                  Expression Data  . . . . . . . . . . . . 77--87
          Joseph G. Ibrahim and   
              Ming-Hui Chen and   
                 Robert J. Gray   Bayesian Models for Gene Expression With
                                  DNA Microarray Data  . . . . . . . . . . 88--99
         Francesca Dominici and   
            Michael Daniels and   
             Scott L. Zeger and   
              Jonathan M. Samet   Air Pollution and Mortality: Estimating
                                  Regional and National Dose-Response
                                  Relationships  . . . . . . . . . . . . . 100--111
         B. M. Golam Kibria and   
                     Li Sun and   
             James V. Zidek and   
                      Nhu D. Le   Bayesian Spatial Prediction of Random
                                  Space--time Fields With Application to
                                  Mapping PM$_{2.5}$ Exposure  . . . . . . 112--124
       Diana L. Miglioretti and   
            Colin McCulloch and   
                 Scott L. Zeger   Combining Images Across Multiple
                                  Subjects: a Study of Direct Cortical
                                  Electrical Interference  . . . . . . . . 125--135
         Douglas M. Hawkins and   
                 David J. Olive   Inconsistency of Resampling Algorithms
                                  for High-Breakdown Regression Estimators
                                  and a New Algorithm  . . . . . . . . . . 136--148
                  David Ruppert   [Inconsistency of Resampling Algorithms
                                  for High-Breakdown Regression Estimators
                                  and a New Algorithm]: Comment  . . . . . 148--149
                Stephen Portnoy   [Inconsistency of Resampling Algorithms
                                  for High-Breakdown Regression Estimators
                                  and a New Algorithm]: Comment  . . . . . 149--150
                 Mia Hubert and   
         Peter J. Rousseeuw and   
               Stefan Van Aelst   [Inconsistency of Resampling Algorithms
                                  for High-Breakdown Regression Estimators
                                  and a New Algorithm]: Comment  . . . . . 151--153
         Ricardo A. Maronna and   
                Victor J. Yohai   [Inconsistency of Resampling Algorithms
                                  for High-Breakdown Regression Estimators
                                  and a New Algorithm]: Comment  . . . . . 154--155
         Douglas M. Hawkins and   
                 David J. Olive   [Inconsistency of Resampling Algorithms
                                  for High-Breakdown Regression Estimators
                                  and a New Algorithm]: Rejoinder  . . . . 156--159
             Scott M. Berry and   
         Raymond J. Carroll and   
                  David Ruppert   Bayesian Smoothing and Regression
                                  Splines for Measurement Error Problems   160--169
          Miguel A. Arcones and   
               Paul H. Kvam and   
         Francisco J. Samaniego   Nonparametric Estimation of a
                                  Distribution Subject to a Stochastic
                                  Precedence Constraint  . . . . . . . . . 170--182
              Paul R. Rosenbaum   Attributing Effects to Treatment in
                                  Matched Observational Studies  . . . . . 183--192
                   Jing Qin and   
                Denis Leung and   
                       Jun Shao   Estimation With Survey Data Under
                                  Nonignorable Nonresponse or Informative
                                  Sampling . . . . . . . . . . . . . . . . 193--200
           Masoud Asgharian and   
            Cyr Emile M'Lan and   
               David B. Wolfson   Length-Biased Sampling With Right
                                  Censoring: An Unconditional Approach . . 201--209
              Xiaotong Shen and   
                    Jianming Ye   Adaptive Model Selection . . . . . . . . 210--221
                  Xiaotong Shen   Asymptotic Normality of Semiparametric
                                  and Nonparametric Posterior
                                  Distributions  . . . . . . . . . . . . . 222--235
            Werner Brannath and   
               Martin Posch and   
                    Peter Bauer   Recursive Combination Tests  . . . . . . 236--244
             Angela Winnett and   
                  Peter Sasieni   Adjusted Nelson-Aalen Estimates With
                                  Retrospective Matching . . . . . . . . . 245--256
               Lawrence Lin and   
              A. S. Hedayat and   
                Bikas Sinha and   
                       Min Yang   Statistical Methods in Assessing
                                  Agreement: Models, Issues, and Tools . . 257--270
           Edward F. Vonesh and   
                   Hao Wang and   
                    Lei Nie and   
                Dibyen Majumdar   Conditional Second-Order Generalized
                                  Estimating Equations for Generalized
                                  Linear and Nonlinear Mixed-Effects
                                  Models . . . . . . . . . . . . . . . . . 271--283
                 Alberto Abadie   Bootstrap Tests for Distributional
                                  Treatment Effects in Instrumental
                                  Variable Models  . . . . . . . . . . . . 284--292
            Ajit C. Tamhane and   
                 Brent R. Logan   Multiple Test Procedures for Identifying
                                  the Minimum Effective and Maximum Safe
                                  Doses of a Drug  . . . . . . . . . . . . 293--301
     William F. Christensen and   
                  Yasuo Amemiya   Latent Variable Analysis of Multivariate
                                  Spatial Data . . . . . . . . . . . . . . 302--317
                   Yijian Huang   Calibration Regression of Censored
                                  Lifetime Medical Cost  . . . . . . . . . 318--327
        Ingrid Van Keilegom and   
       Thomas P. Hettmansperger   Inference on Multivariate $M$ Estimators
                                  Based on Bivariate Censored Data . . . . 328--336
                Steven L. Scott   Bayesian Methods for Hidden Markov
                                  Models: Recursive Computing in the 21st
                                  Century  . . . . . . . . . . . . . . . . 337--351
                      Anonymous   Front Matter . . . . . . . . . . . . . . 352--352
                      Anonymous   Book Reviews . . . . . . . . . . . . . . 352
               Berton H. Gunter   Book Review: \booktitle[untitled]  . . . 353--353
                 Robert J. Gray   Book Review: \booktitle[untitled]  . . . 353--354
                     Jim Albert   Book Review: \booktitle[untitled]  . . . 354--355
              Brett D. Presnell   Book Review: \booktitle[untitled]  . . . 355--355
                Shane Henderson   Book Review: \booktitle[untitled]  . . . 355--356
                   T. N. Sriram   Book Review: \booktitle[untitled]  . . . 356--356
                  A. Dale Horne   Book Review: \booktitle[untitled]  . . . 356--357
               Jerome P. Reiter   Book Review: \booktitle[untitled]  . . . 357--358
              Michael D. Larsen   Book Review: \booktitle[untitled]  . . . 358--359
               Erwin Bolthausen   Book Review: \booktitle[untitled]  . . . 360--360
                Jem N. Corcoran   Book Review: \booktitle[untitled]  . . . 360--360
                  Tomasz Rolski   Book Review: \booktitle[untitled]  . . . 360--361
                  Paul Rilstone   Book Review: \booktitle[untitled]  . . . 361--362
                  Herwig Friedl   Book Review: \booktitle[untitled]  . . . 362--362
                     Todd Ogden   Book Review: \booktitle[untitled]  . . . 362--363
                   Monnie McGee   Book Review: \booktitle[untitled]  . . . 363--364
                 Timothy Cogley   Book Review: \booktitle[untitled]  . . . 364--364
          Thorsten Rheinlaender   Book Review: \booktitle[untitled]  . . . 364--365
                   Nick Bingham   Book Review: \booktitle[untitled]  . . . 365--365
            Arnold J. Stromberg   Book Review: \booktitle[untitled]  . . . 365--366
           William F. Fulkerson   Book Review: \booktitle[untitled]  . . . 366--366
         William E. Strawderman   Book Review: \booktitle[untitled]  . . . 366--366
                   Yuedong Wang   Book Review: \booktitle[untitled]  . . . 366--366
                      Anonymous   Correction: The Effect of Insurance on
                                  Mortality in an HIV + Population in Care 367--367
                      Anonymous   Correction . . . . . . . . . . . . . . . 367
                      Anonymous   Back Matter  . . . . . . . . . . . . . . ??

Journal of the American Statistical Association
Volume 97, Number 458, June, 2002

            Jiancang Zhuang and   
             Yosihiko Ogata and   
               David Vere-Jones   Stochastic Declustering of Space--time
                                  Earthquake Occurrences . . . . . . . . . 369--380
           Balgobin Nandram and   
                   Jai Won Choi   Hierarchical Bayesian Nonresponse Models
                                  for Binary Data From Small Areas With
                                  Uncertainty About Ignorability . . . . . 381--388
             Mona N. Kanaan and   
            C. Paddy Farrington   Estimation of Waning Vaccine Efficacy    389--397
            Jeanne Kowalski and   
            Marcello Pagano and   
              Victor DeGruttola   A Nonparametric Test of Gene Region
                                  Heterogeneity Associated With Phenotype  398--408
            Steven L. Scott and   
                   Edward H. Ip   Empirical Bayes and Item-Clustering
                                  Effects in a Latent Variable
                                  Hierarchical Model: a Case Study From
                                  the National Assessment of Educational
                                  Progress . . . . . . . . . . . . . . . . 409--419
         Michael R. Elliott and   
  Trivellore E. Raghunathan and   
                  Jean T. Shope   The Effect of Duration and Delay of
                                  Licensure on Risk of Crash: a Bayesian
                                  Analysis of Repeated Time-To-Event
                                  Measures . . . . . . . . . . . . . . . . 420--431
    Carmen Fernández and   
                  Gary Koop and   
               Mark F. J. Steel   Multiple-Output Production With
                                  Undesirable Outputs: An Application to
                                  Nitrogen Surplus in Agriculture  . . . . 432--442
            Peter Bühlmann   Sieve Bootstrap With Variable-Length
                                  Markov Chains for Stationary Categorical
                                  Time Series  . . . . . . . . . . . . . . 443--456
                     Peter Hall   [Sieve Bootstrap with Variable-Length
                                  Markov Chains for Stationary Categorical
                                  Time Series]: Comment  . . . . . . . . . 456--457
                Michael Sherman   [Sieve Bootstrap with Variable-Length
                                  Markov Chains for Stationary Categorical
                                  Time Series]: Comment  . . . . . . . . . 457--460
                   S. N. Lahiri   [Sieve Bootstrap with Variable-Length
                                  Markov Chains for Stationary Categorical
                                  Time Series]: Comment  . . . . . . . . . 460--462
            Dimitris N. Politis   [Sieve Bootstrap with Variable-Length
                                  Markov Chains for Stationary Categorical
                                  Time Series]: Comment  . . . . . . . . . 463--465
                  Peter Bhlmann   [Sieve Bootstrap with Variable-Length
                                  Markov Chains for Stationary Categorical
                                  Time Series]: Rejoinder  . . . . . . . . 466--471
           Steven J. Novick and   
           Leonard A. Stefanski   Corrected Score Estimation via Complex
                                  Variable Simulation Extrapolation  . . . 472--481
              Alan H. Welsh and   
                 Xihong Lin and   
             Raymond J. Carroll   Marginal Longitudinal Nonparametric
                                  Regression: Locality and Efficiency of
                                  Spline and Kernel Methods  . . . . . . . 482--493
       Mark J. van der Laan and   
            Alan E. Hubbard and   
                James M. Robins   Locally Efficient Estimation of a
                                  Multivariate Survival Function in
                                  Longitudinal Studies . . . . . . . . . . 494--507
               Guenther Walther   Detecting the Presence of Mixing with
                                  Multiscale Maximum Likelihood  . . . . . 508--513
                     T. Cai and   
                S. C. Cheng and   
                      L. J. Wei   Semiparametric Mixed-Effects Models for
                                  Clustered Failure Time Data  . . . . . . 514--522
                 Peter Hall and   
           Léopold Simar   Estimating a Changepoint, Boundary, or
                                  Frontier in the Presence of Observation
                                  Error  . . . . . . . . . . . . . . . . . 523--534
            Randy R. Sitter and   
                    Changbao Wu   Efficient Estimation of Quadratic Finite
                                  Population Functions in the Presence of
                                  Auxiliary Information  . . . . . . . . . 535--543
                   Jun Shao and   
                  Hansheng Wang   Sample Correlation Coefficients Based on
                                  Survey Data Under Regression Imputation  544--552
         José Casals and   
               Miguel Jerez and   
                   Sonia Sotoca   An Exact Multivariate Model-Based
                                  Structural Decomposition . . . . . . . . 553--564
                   Hua Yun Chen   Double-Semiparametric Method for Missing
                                  Covariates in Cox Regression Models  . . 565--576
             Ross A. Maller and   
                Liuquan Sun and   
                      Xian Zhou   Estimating the Expected Total Number of
                                  Events in a Process  . . . . . . . . . . 577--589
               Tilmann Gneiting   Nonseparable, Stationary Covariance
                                  Functions for Space--time Data . . . . . 590--600
         Daniel Peña and   
         Julio Rodríguez   A Powerful Portmanteau Test of Lack of
                                  Fit for Time Series  . . . . . . . . . . 601--610
               Chris Fraley and   
              Adrian E. Raftery   Model-Based Clustering, Discriminant
                                  Analysis, and Density Estimation . . . . 611--631
            Carol A. Gotway and   
                 Linda J. Young   Combining Incompatible Spatial Data  . . 632--648
                      Anonymous   Front Matter . . . . . . . . . . . . . . 649--649
                    Chris Olsen   Book Review: \booktitle[untitled]  . . . 650--650
                 Jyoti Zalkikar   Book Review: \booktitle[untitled]  . . . 650--651
               Craig B. Borkowf   Book Review: \booktitle[untitled]  . . . 651--651
                   Edsel A. Pea   Book Review: \booktitle[untitled]  . . . 652--653
               Christian Genest   Book Review: \booktitle[untitled]  . . . 653--654
               Russell V. Lenth   Book Review: \booktitle[untitled]  . . . 654--654
               Russell V. Lenth   Book Review: \booktitle[untitled]  . . . 654--655
                     Amos Golan   Book Review: \booktitle[untitled]  . . . 655--656
        Katherine Bennett Ensor   Book Review: \booktitle[untitled]  . . . 656--657
                T. J. Vogelsang   Book Review: \booktitle[untitled]  . . . 657--657
                James R. Schott   Book Review: \booktitle[untitled]  . . . 657--658
                  David Ruppert   Book Review: \booktitle[untitled]  . . . 658--658
                 James Thompson   Book Review: \booktitle[untitled]  . . . 658--658
               Raisa E. Feldman   Book Review: \booktitle[untitled]  . . . 658--659
                    Joseph Gani   Book Review: \booktitle[untitled]  . . . 659--659
          Robert L. Strawderman   Book Review: \booktitle[untitled]  . . . 659--659
                T. J. Vogelsang   Book Review: \booktitle[untitled]  . . . 659--659
                   Arthur Fries   [Response to Joel L. Horowitz Article]   660--660
           Joel L. Horowitz and   
                 K. Katsouyanni   Response to Letter of Arthur Fries . . . 660--660
                      Anonymous   Corrections: Calibration Regression of
                                  Censored Lifetime Medical Cost . . . . . 661--661
                      Anonymous   Corrections: Comment on
                                  ``Semi-Parametric Nonlinear
                                  Mixed-Effects Models and Their
                                  Application''  . . . . . . . . . . . . . 661--661
                      Anonymous   Corrections: Testing and Locating
                                  Variance Changepoints with Applications
                                  to Stock Prices  . . . . . . . . . . . . 661--661
                      Anonymous   Corrections  . . . . . . . . . . . . . . 661
                      Anonymous   Back Matter  . . . . . . . . . . . . . . ??

Journal of the American Statistical Association
Volume 97, Number 459, September, 2002

              Robert Barsky and   
                 John Bound and   
        Kerwin Kofi Charles and   
               Joseph P. Lupton   Accounting for the Black-White Wealth
                                  Gap: a Nonparametric Approach  . . . . . 663--673
             Pablo Marshall and   
                Eric T. Bradlow   A Unified Approach to Conjoint Analysis
                                  Models . . . . . . . . . . . . . . . . . 674--682
              Sandra J. McBride   A Marked Point Process Model for the
                                  Source Proximity Effect in the Indoor
                                  Environment  . . . . . . . . . . . . . . 683--691
              Julia Kelsall and   
             Jonathan Wakefield   Modeling Spatial Variation in Disease
                                  Risk: a Geostatistical Approach  . . . . 692--701
            Andrea Saltelli and   
              Stefano Tarantola   On the Relative Importance of Input
                                  Factors in Mathematical Models: Safety
                                  Assessment for Nuclear Waste Disposal    702--709
                      Gary Koop   Comparing the Performance of Baseball
                                  Players: a Multiple-Output Approach  . . 710--720
       Blossom H. Patterson and   
         C. Mitchell Dayton and   
              Barry I. Graubard   Latent Class Analysis of Complex Sample
                                  Survey Data: Application to Dietary Data 721--729
       Alicia L. Carriquiry and   
                Sarah M. Nusser   [Latent Class Analysis of Complex Sample
                                  Survey Data: Application to Dietary
                                  Data]: Comment . . . . . . . . . . . . . 729--731
         Michael R. Elliott and   
                 Mary D. Sammel   [Latent Class Analysis of Complex Sample
                                  Survey Data: Application to Dietary
                                  Data]: Comment . . . . . . . . . . . . . 732--734
            Marilyn M. Seastrom   [Latent Class Analysis of Complex Sample
                                  Survey Data: Application to Dietary
                                  Data]: Comment . . . . . . . . . . . . . 735--736
              Jeroen K. Vermunt   [Latent Class Analysis of Complex Sample
                                  Survey Data: Application to Dietary
                                  Data]: Comment . . . . . . . . . . . . . 736--737
       Blossom H. Patterson and   
         C. Mitchell Dayton and   
              Barry I. Graubard   [Latent Class Analysis of Complex Sample
                                  Survey Data: Application to Dietary
                                  Data]: Rejoinder . . . . . . . . . . . . 738--741
              Daniel Rabinowitz   Adjusting for Population Heterogeneity
                                  and Misspecified Haplotype Frequencies
                                  When Testing Nonparametric Null
                                  Hypotheses in Statistical Genetics . . . 742--751
               Robert C. Elston   [Adjusting for Population Heterogeneity
                                  and Misspecified Haplotype Frequencies
                                  When Testing Nonparametric Null
                                  Hypotheses in Statistical Genetics]:
                                  Comment  . . . . . . . . . . . . . . . . 751--753
              Norman Kaplan and   
                 Richard Morris   [Adjusting for Population Heterogeneity
                                  and Misspecified Haplotype Frequencies
                                  When Testing Nonparametric Null
                                  Hypotheses in Statistical Genetics]:
                                  Comment  . . . . . . . . . . . . . . . . 753--754
               Daniel J. Schaid   [Adjusting for Population Heterogeneity
                                  and Misspecified Haplotype Frequencies
                                  When Testing Nonparametric Null
                                  Hypotheses in Statistical Genetics]:
                                  Comment  . . . . . . . . . . . . . . . . 754--756
              Daniel Rabinowitz   [Adjusting for Population Heterogeneity
                                  and Misspecified Haplotype Frequencies
                                  When Testing Nonparametric Null
                                  Hypotheses in Statistical Genetics]:
                                  Rejoinder  . . . . . . . . . . . . . . . 757--758
                Ker-Chau Li and   
                  Kerby Shedden   Identification of Shared Components in
                                  Large Ensembles of Time Series Using
                                  Dimension Reduction  . . . . . . . . . . 759--765
                  S. C. Kou and   
                  Bradley Efron   Smoothers and the $C_p$, Generalized
                                  Maximum Likelihood, and Extended
                                  Exponential Criteria: a Geometric
                                  Approach . . . . . . . . . . . . . . . . 766--782
                  Xuming He and   
                     Feifang Hu   Markov Chain Marginal Bootstrap  . . . . 783--795
            Subhash R. Lele and   
           Charles E. McCulloch   Invariance, Identifiability, and
                                  Morphometrics  . . . . . . . . . . . . . 796--806
                   Faming Liang   Dynamically Weighted Importance Sampling
                                  in Monte Carlo Computation . . . . . . . 807--821
           Joel L. Horowitz and   
           Vladimir G. Spokoiny   An Adaptive, Rate-Optimal Test of
                                  Linearity for Median Regression Models   822--835
           Ronald W. Butler and   
               Marc S. Paolella   Saddlepoint Approximation and Bootstrap
                                  Inference for the Satterthwaite Class of
                                  Ratios . . . . . . . . . . . . . . . . . 836--846
         Lurdes Y. T. Inoue and   
            Giovanni Parmigiani   Designing Follow-Up Times  . . . . . . . 847--858
              Mary C. Meyer and   
            Purushottam W. Laud   Predictive Variable Selection in
                                  Generalized Linear Models  . . . . . . . 859--871
        Victor Chernozhukov and   
                       Han Hong   Three-Step Censored Quantile Regression
                                  and Extramarital Affairs . . . . . . . . 872--882
                   Han Hong and   
            Victor Chernozhukov   Three-Step Censored Quantile Regression
                                  and Extramarital Affairs . . . . . . . . 872
                   Hulin Wu and   
                 Jin-Ting Zhang   Local Polynomial Mixed-Effects Models
                                  for Longitudinal Data  . . . . . . . . . 883--897
                  J. Kunert and   
                     J. Stufken   Optimal Crossover Designs in a Model
                                  With Self and Mixed Carryover Effects    898--906
             H. V. Kulkarni and   
               R. N. Rattihalli   Nonparametric Estimation of a Bivariate
                                  Mean Residual Life Function  . . . . . . 907--917
                      Anonymous   Front Matter . . . . . . . . . . . . . . 918--918
              Michael J. Schell   Book Review: \booktitle[untitled]  . . . 919--919
                  Robin H. Lock   Book Review: \booktitle[untitled]  . . . 919--920
                  Robin H. Lock   Mathematics and Sports (Mathematical
                                  World, Vol. 3) . . . . . . . . . . . . . 919
              Michael J. Schell   Curve Ball: Baseball, Statistics, and
                                  the Role of Chance in the Game . . . . . 919
          A. Alexandre Trindade   Book Review: \booktitle[untitled]  . . . 920--920
          A. Alexandre Trindade   Time-Series Forecasting  . . . . . . . . 920
           Timothy J. Vogelsang   Book Review: \booktitle[untitled]  . . . 921--921
                    Aris Spanos   Book Review: \booktitle[untitled]  . . . 921--923
                    Aris Spanos   Probability, Econometrics and Truth: The
                                  Methodology of Econometrics  . . . . . . 921
           Timothy J. Vogelsang   Asymptotic Theory for Econometricians
                                  (rev. ed.) . . . . . . . . . . . . . . . 921
                     F. Delbaen   Book Review: \booktitle[untitled]  . . . 923--923
                     F. Delbaen   Probability and Finance: It's Only a
                                  Game!  . . . . . . . . . . . . . . . . . 923
               Russell V. Lenth   Book Review: \booktitle[untitled]  . . . 924--924
               Russell V. Lenth   Book Review: \booktitle[untitled]  . . . 924--924
                 David Goldsman   Book Review: \booktitle[untitled]  . . . 924--925
                 David Goldsman   Introductory Statistics and Random
                                  Phenomena: Uncertainty, Complexity and
                                  Chaotic Behavior in Engineering and
                                  Science  . . . . . . . . . . . . . . . . 924
               Russell V. Lenth   Experimental Quality: a Strategic
                                  Approach to Achieve and Improve Quality  924
               Russell V. Lenth   The Theory of the Design of Experiments  924
                     Uwe Jensen   Book Review: \booktitle[untitled]  . . . 925--925
               Raisa E. Feldman   Book Review: \booktitle[untitled]  . . . 925--926
               Raisa E. Feldman   Limit Distributions for Sums of
                                  Independent Random Vectors . . . . . . . 925
                     Uwe Jensen   Probabilistic Risk Analysis: Foundations
                                  and Methods  . . . . . . . . . . . . . . 925
                   Neal Rogness   Book Review: \booktitle[untitled]  . . . 926--927
                   Neal Rogness   Applying and Interpreting Statistics, a
                                  Comprehensive Guide (second edition) . . 926
   Sreenivasa Rao Jammalamadaka   Book Review: \booktitle[untitled]  . . . 927--927
   Sreenivasa Rao Jammalamadaka   Book Review: \booktitle[untitled]  . . . 927--927
   Sreenivasa Rao Jammalamadaka   Book Review: \booktitle[untitled]  . . . 927--928
   Sreenivasa Rao Jammalamadaka   A Contingency Table Approach to
                                  Nonparametric Testing  . . . . . . . . . 927
   Sreenivasa Rao Jammalamadaka   An Invariant Approach to Statistical
                                  Analysis of Shapes . . . . . . . . . . . 927
   Sreenivasa Rao Jammalamadaka   Scan Statistics  . . . . . . . . . . . . 927
            C. M. Anderson-Cook   Book Review: \booktitle[untitled]  . . . 928--928
                 Paul Embrechts   Book Review: \booktitle[untitled]  . . . 928--928
                T. J. Vogelsang   Book Review: \booktitle[untitled]  . . . 928--928
                      Anonymous   Correction: Length-Biased Sampling with
                                  Right Censoring: An Unconditional
                                  Approach . . . . . . . . . . . . . . . . 929--929
                      Anonymous   Correction . . . . . . . . . . . . . . . 929
                      Anonymous   Back Matter  . . . . . . . . . . . . . . ??

Journal of the American Statistical Association
Volume 97, Number 460, December, 2002

              Michael A. Newton   Discovering Combinations of Genomic
                                  Aberrations Associated With Cancer . . . 931--942
               Cavan Reilly and   
           Timothy Schacker and   
            Ashley T. Haase and   
            Steve Wietgrefe and   
                   David Krason   The Clustering of Infected SIV Cells in
                                  Lymphatic Tissue . . . . . . . . . . . . 943--954
                        Lang Wu   A Joint Model for Nonlinear
                                  Mixed-Effects Models With Censoring and
                                  Covariates Measured With Error, With
                                  Application to AIDS Studies  . . . . . . 955--964
            Robin Henderson and   
           Silvia Shimakura and   
                    David Gorst   Modeling Spatial Variation in Leukemia
                                  Survival Data  . . . . . . . . . . . . . 965--972
         Richard A. Briesch and   
     Pradeep K. Chintagunta and   
                Rosa L. Matzkin   Semiparametric Estimation of Brand
                                  Choice Behavior  . . . . . . . . . . . . 973--982
              Ken B. Newman and   
                      John Rice   Modeling the Survival of Chinook Salmon
                                  Smolts Outmigrating Through the Lower
                                  Sacramento River System  . . . . . . . . 983--993
               Naisyin Wang and   
              Adrian E. Raftery   Nearest-Neighbor Variance Estimation
                                  (NNVE): Robust Covariance Estimation via
                                  Nearest-Neighbor Cleaning  . . . . . . . 994--1006
           Christophe Croux and   
               Stefan van Aelst   [Nearest-Neighbor Variance Estimation
                                  (NNVE): Robust Covariance Estimation via
                                  Nearest-Neighbor Cleaning]: Comment  . . 1006--1009
      Geoffrey J. McLachlan and   
                Karyn L. Hamaty   [Nearest-Neighbor Variance Estimation
                                  (NNVE): Robust Covariance Estimation via
                                  Nearest-Neighbor Cleaning]: Comment  . . 1009--1011
             Ehsan S. Soofi and   
                     Ali Dadpay   [Nearest-Neighbor Variance Estimation
                                  (NNVE): Robust Covariance Estimation via
                                  Nearest-Neighbor Cleaning]: Comment  . . 1012--1014
             Douglas G. Simpson   [Nearest-Neighbor Variance Estimation
                                  (NNVE): Robust Covariance Estimation via
                                  Nearest-Neighbor Cleaning]: Comment  . . 1015--1015
               Naisyin Wang and   
              Adrian E. Raftery   [Nearest-Neighbor Variance Estimation
                                  (NNVE): Robust Covariance Estimation via
                                  Nearest-Neighbor Cleaning]: Rejoinder    1016--1019
             Timothy Hanson and   
              Wesley O. Johnson   Modeling Regression Error With a Mixture
                                  of Polya Trees . . . . . . . . . . . . . 1020--1033
                   Qing Liu and   
        Michael A. Proschan and   
              Gordon W. Pledger   A Unified Theory of Two-Stage Adaptive
                                  Designs  . . . . . . . . . . . . . . . . 1034--1041
                     Yan Yu and   
                  David Ruppert   Penalized Spline Estimation for
                                  Partially Linear Single-Index Models . . 1042--1054
             Peter J. Green and   
              Sylvia Richardson   Hidden Markov Models and Disease Mapping 1055--1070
                Grace Y. Yi and   
                Richard J. Cook   Marginal Methods for Incomplete
                                  Longitudinal Data Arising in Clusters    1071--1080
            Mark A. van de Wiel   Exact Distributions of Multiple
                                  Comparisons Rank Statistics  . . . . . . 1081--1089
              Peter D. Hoff and   
          Adrian E. Raftery and   
               Mark S. Handcock   Latent Space Approaches to Social
                                  Network Analysis . . . . . . . . . . . . 1090--1098
                 Tianxi Cai and   
         Margaret Sullivan Pepe   Semiparametric Receiver Operating
                                  Characteristic Analysis to Evaluate
                                  Biomarkers for Disease . . . . . . . . . 1099--1107
           Ron Mittelhammer and   
               George Judge and   
          Marco van Akkeren and   
               N. Scott Cardell   Coordinate Based Empirical
                                  Likelihood-Like Estimation in
                                  Ill-Conditioned Inverse Problems . . . . 1108--1121
              Xiaotong Shen and   
           Hsin-Cheng Huang and   
                   Noel Cressie   Nonparametric Hypothesis Testing for a
                                  Spatial Signal . . . . . . . . . . . . . 1122--1140
              Michael Smith and   
                    Robert Kohn   Parsimonious Covariance Matrix
                                  Estimation for Longitudinal Data . . . . 1141--1153
            Hemant Ishwaran and   
                  Glen Takahara   Independent and Identically Distributed
                                  Monte Carlo Algorithms for
                                  Semiparametric Linear Mixed Models . . . 1154--1166
             James H. Stock and   
                 Mark W. Watson   Forecasting Using Principal Components
                                  From a Large Number of Predictors  . . . 1167--1179
                    Omer Ozturk   Rank Regression in Ranked-Set Samples    1180--1191
       Francesco Bartolucci and   
                Antonio Forcina   Extended RC Association Models Allowing
                                  for Order Restrictions and Marginal
                                  Modeling . . . . . . . . . . . . . . . . 1192--1199
                      Anonymous   Front Matter . . . . . . . . . . . . . . 1200--1200
         Carolyn Pillers Dobler   Book Review: \booktitle[untitled]  . . . 1201--1201
              Richard J. Cleary   Book Review: \booktitle[untitled]  . . . 1201--1202
              Richard J. Cleary   The Science of Conjecture: Evidence and
                                  Probability Before Pascal  . . . . . . . 1201
         Carolyn Pillers Dobler   Statisticians of the Centuries . . . . . 1201
               B. D. McCullough   Book Review: \booktitle[untitled]  . . . 1202--1203
               B. D. McCullough   Mathematical Statistics With Mathematica 1202
              Yonggang Zhao and   
                  Xiaotong Shen   Book Review: \booktitle[untitled]  . . . 1203--1204
              Yonggang Zhao and   
                  Xiaotong Shen   Empirical Likelihood . . . . . . . . . . 1203
                 Paul Embrechts   Book Review: \booktitle[untitled]  . . . 1204--1204
                   John Kolassa   Book Review: \booktitle[untitled]  . . . 1204--1205
                   John Kolassa   Conditional Specification of Statistical
                                  Models . . . . . . . . . . . . . . . . . 1204
               Ma\lgorzata Roos   Book Review: \booktitle[untitled]  . . . 1205--1205
               Ma\lgorzata Roos   Runs and Scans With Applications . . . . 1205
   Sreenivasa Rao Jammalamadaka   Book Review: \booktitle[untitled]  . . . 1206--1206
                Kenneth Koehler   Book Review: \booktitle[untitled]  . . . 1206--1207
   Sreenivasa Rao Jammalamadaka   Matrix Algebra for Applied Economics,
                                  and Matrix Algebra Exercises and
                                  Solutions  . . . . . . . . . . . . . . . 1206
                Kenneth Koehler   Analysis of Messy Data, Vol III:
                                  Analysis of Covariance . . . . . . . . . 1206
                 Emanuel Parzen   Book Review: \booktitle[untitled]  . . . 1207--1207
                Peter C. Wollan   Book Review: \booktitle[untitled]  . . . 1207--1207
                James B. Elsner   Book Review: \booktitle[untitled]  . . . 1207--1208
                James B. Elsner   Analysis of Time Series Structure: SSA
                                  and Related Techniques . . . . . . . . . 1207
                 Emanuel Parzen   Foundations of Time Series Analysis and
                                  Prediction Theory  . . . . . . . . . . . 1207
                Peter C. Wollan   Observational Studies (second edition)   1207
              Valentina Corradi   Book Review: \booktitle[untitled]  . . . 1208--1209
              Valentina Corradi   Asymptotic Theory of Statistical
                                  Inference for Time Series  . . . . . . . 1208
                  Frederi Viens   Book Review: \booktitle[untitled]  . . . 1209--1210
                  Frederi Viens   Stochastic Processes: From Physics to
                                  Finance  . . . . . . . . . . . . . . . . 1209
            Alexander J. McNeil   Book Review: \booktitle[untitled]  . . . 1210--1211
            Alexander J. McNeil   The Laplace Distribution and
                                  Generalizations: a Revisit With
                                  Applications to Communications,
                                  Economics, Engineering, and Finance  . . 1210
                Angelos Dassios   Book Review: \booktitle[untitled]  . . . 1211--1212
                Angelos Dassios   Ruin Probabilities . . . . . . . . . . . 1211
                  Nicole Buerle   Book Review: \booktitle[untitled]  . . . 1212--1213
                 Nicole Bauerle   Introduction to Stochastic Networks  . . 1212
              Lawrence A. Shepp   Book Review: \booktitle[untitled]  . . . 1213--1213
               Kimberly Swygert   Book Review: \booktitle[untitled]  . . . 1213--1214
              Lawrence A. Shepp   Probability Essentials . . . . . . . . . 1213
               Kimberly Swygert   Practical Considerations in
                                  Computer-Based Testing . . . . . . . . . 1213
                  Carrie Grimes   Book Review: \booktitle[untitled]  . . . 1214--1215
                  Carrie Grimes   Independent Component Analysis:
                                  Principles and Practice  . . . . . . . . 1214
                 Mario Peruggia   Book Review: \booktitle[untitled]  . . . 1215--1215
     Christine M. Anderson-Cook   Book Review: \booktitle[untitled]  . . . 1216--1216
              Richard J. Cleary   Book Review: \booktitle[untitled]  . . . 1216--1216
                   Alan F. Karr   Book Review: \booktitle[untitled]  . . . 1216--1216
                   Alan F. Karr   Book Review: \booktitle[untitled]  . . . 1216--1216
                    Robert Lund   Book Review: \booktitle[untitled]  . . . 1216--1216
                   Alan F. Karr   Book Review: \booktitle[untitled]  . . . 1216--1217
                 Paul Embrechts   Book Review: \booktitle[untitled]  . . . 1217--1217
               Russell V. Lenth   Book Review: \booktitle[untitled]  . . . 1217--1217
                 Mario Peruggia   Book Review: \booktitle[untitled]  . . . 1217--1217
                    Yanqing Sun   Book Review: \booktitle[untitled]  . . . 1217--1217
                      Anonymous   Correction: Effect of Insurance on
                                  Mortality in an HIV-Positive Population
                                  in Care  . . . . . . . . . . . . . . . . 1218--1218
                      Anonymous   Correction . . . . . . . . . . . . . . . 1218
                      Anonymous   Volume Information . . . . . . . . . . . 1219--1228
                      Anonymous   Back Matter  . . . . . . . . . . . . . . ??


Journal of the American Statistical Association
Volume 98, Number 461, March, 2003

                 Miron L. Straf   Statistics: The Next Generation  . . . . 1--6
          Mary Beth Landrum and   
     Sharon-Lise T. Normand and   
            Robert A. Rosenheck   Selection of Related Multivariate Means:
                                  Monitoring Psychiatric Care in the
                                  Department of Veterans Affairs . . . . . 7--16
              David A. Harville   The Selection or Seeding of College
                                  Basketball or Football Teams for
                                  Postseason Competition . . . . . . . . . 17--27
            David B. Dunson and   
               Bernardo Colombo   Bayesian Modeling of Markers of
                                  Day-Specific Fertility . . . . . . . . . 28--37
      M. Elizabeth Halloran and   
Marie Pierre Préziosi and   
                     Haitao Chu   Estimating Vaccine Efficacy From
                                  Secondary Attack Rates . . . . . . . . . 38--46
               Sander Greenland   The Impact of Prior Distributions for
                                  Uncontrolled Confounding and Response
                                  Bias: a Case Study of the Relation of
                                  Wire Codes and Magnetic Fields to
                                  Childhood Leukemia . . . . . . . . . . . 47--54
              Mayetri Gupta and   
                     Jun S. Liu   Discovery of Conserved Sequence Patterns
                                  Using a Stochastic Dictionary Model  . . 55--66
             Marc G. Genton and   
              Elvezio Ronchetti   Robust Indirect Inference  . . . . . . . 67--76
              Sarat C. Dass and   
                Vijayan N. Nair   Edge Detection, Spatial Smoothing, and
                                  Image Reconstruction With Partially
                                  Observed Multivariate Data . . . . . . . 77--89
                 Esa Ollila and   
                  Hannu Oja and   
                  Visa Koivunen   Estimates of Regression Coefficients
                                  Based on Lift Rank Covariance Matrix . . 90--98
                Ker-Chau Li and   
                 Yve Aragon and   
              Kerby Shedden and   
                C. Thomas Agnan   Dimension Reduction for Multivariate
                                  Response Data  . . . . . . . . . . . . . 99--109
                   Chuanhai Liu   Alternating Subspace-Spanning Resampling
                                  to Accelerate Markov Chain Monte Carlo
                                  Simulation . . . . . . . . . . . . . . . 110--117
               Jianqing Fan and   
                 Chunming Zhang   A Reexamination of Diffusion Estimators
                                  With Applications to Financial Model
                                  Validation . . . . . . . . . . . . . . . 118--134
          Jan G. De Gooijer and   
                    Dawit Zerom   On Additive Conditional Quantiles With
                                  High Dimensional Covariates  . . . . . . 135--146
                  Scott Gilbert   Distribution of Rankings for Groups
                                  Exhibiting Heteroscedasticity and
                                  Correlation  . . . . . . . . . . . . . . 147--157
        Nilanjan Chatterjee and   
                Yi-Hau Chen and   
              Norman E. Breslow   A Pseudoscore Estimator for Regression
                                  Problems With Two-Phase Sampling . . . . 158--168
           Jeffrey S. Rosenthal   Asymptotic Variance and Convergence
                                  Rates of Nearly-Periodic Markov Chain
                                  Monte Carlo Algorithms . . . . . . . . . 169--177
              Zbigniew Szkutnik   Doubly Smoothed EM Algorithm for
                                  Statistical Inverse Problems . . . . . . 178--190
                      Yi Li and   
                     Xihong Lin   Functional Inference in Frailty
                                  Measurement Error Models for Clustered
                                  Survival Data Using the SIMEX Approach   191--203
          Joseph G. Ibrahim and   
              Ming-Hui Chen and   
                Debajyoti Sinha   On Optimality Properties of the Power
                                  Prior  . . . . . . . . . . . . . . . . . 204--213
        Michael A. Benjamin and   
            Robert A. Rigby and   
         D. Mikis Stasinopoulos   Generalized Autoregressive Moving
                                  Average Models . . . . . . . . . . . . . 214--223
                Sanjib Basu and   
                Siddhartha Chib   Marginal Likelihood and Bayes Factors
                                  for Dirichlet Process Mixture Models . . 224--235
            Jung-Ying Tzeng and   
            William Byerley and   
                  B. Devlin and   
             Kathryn Roeder and   
                Larry Wasserman   Outlier Detection and False Discovery
                                  Rates for Whole-Genome DNA Matching  . . 236--246
             Wilfrid S. Kendall   Book Review: \booktitleStatistics of the
                                  Galaxy Distribution, by Vicent J.
                                  Martínez; Enn Saar  . . . . . . . . . . . 248--248
         Melvin L. Moeschberger   Book Review: \booktitleStatistical
                                  Methods for the Analysis of Repeated
                                  Measurements, by Charles S. Davis  . . . 248--249
             Wilfrid S. Kendall   Statistics of the Galaxy Distribution    248
         Melvin L. Moeschberger   Statistical Methods for the Analysis of
                                  Repeated Measurements  . . . . . . . . . 248
     Christine M. Anderson-Cook   Book Review: \booktitleConcise Handbook
                                  of Experimental Methods for the
                                  Behavioral and Biological Sciences, by
                                  Jay E. Gould . . . . . . . . . . . . . . 249--249
                William I. Notz   Book Review: \booktitleTopics in Optimal
                                  Design, by Erkki P. Liski; Nripes
                                  Mandal; Kirti R. Shah; Bikas Siniha  . . 249--250
     Christine M. Anderson-Cook   Concise Handbook of Experimental Methods
                                  for the Behavioral and Biological
                                  Sciences . . . . . . . . . . . . . . . . 249
                William I. Notz   Topics in Optimal Design . . . . . . . . 249
              Brian J. Eastwood   Book Review: \booktitleApplied
                                  Statistics in the Pharmaceutical
                                  Industry with Case Studies Using S-PLUS,
                                  by Steven P. Millard; Andreas Krause . . 250--250
                      Sue Duval   Book Review: \booktitleBiostatistical
                                  Methods in Epidemiology, by Stephen C.
                                  Newman . . . . . . . . . . . . . . . . . 251--251
                      Minge Xie   Book Review: \booktitleDesign and
                                  Analysis of Bioavailability and
                                  Bioequivalence Studies, by Shein-Chung
                                  Chow; Jen-Pei Liu  . . . . . . . . . . . 251--251
                    Theo Gasser   Book Review: \booktitleNonlinear Models
                                  in Medical Statistics, by J. K. Lindsey  251--252
                      Sue Duval   Biostatistical Methods in Epidemiology   251
                    Theo Gasser   Nonlinear Models in Medical Statistics   251
                      Minge Xie   Design and Analysis of Bioavailability
                                  and Bioequivalence Studies (second
                                  edition, revised and expanded) . . . . . 251
                Ashish P. Sanil   Book Review: \booktitlePrinciples of
                                  Data Mining, by David Hand; Heikki
                                  Mannila; Padhraic Smyth  . . . . . . . . 252--253
                Ashish P. Sanil   Principles of Data Mining  . . . . . . . 252
               Vincent J. Carey   Book Review: \booktitleGraphical Models:
                                  Methods for Data Analysis and Mining, by
                                  Christian Borgelt; Rudolf Kruse  . . . . 253--254
               Vincent J. Carey   Graphical Models: Methods for Data
                                  Analysis and Mining  . . . . . . . . . . 253
              Richard J. Cleary   Book Review: \booktitleConducting Meta
                                  Analysis Using SAS, by Winfred Arthur,
                                  Jr.; Winston Bennett, Jr.; Allen I.
                                  Huffcutt . . . . . . . . . . . . . . . . 254--254
                  Walter Gander   Book Review: \booktitleFrom Elementary
                                  Probability to Stochastic Differential
                                  Equations with MAPLE, by Sasha
                                  Cyganowski; Peter Kloeden; Jerzy Ombach  254--255
              Richard J. Cleary   Conducting Meta Analysis Using SAS . . . 254
                  Walter Gander   From Elementary Probability to
                                  Stochastic Differential Equations With
                                  MAPLE  . . . . . . . . . . . . . . . . . 254
        S. Bora\ugan Aruoba and   
               Sean D. Campbell   Book Review: \booktitleTime Series
                                  Analysis by State-Space Methods, by J.
                                  Durbin; S. J. Koopman  . . . . . . . . . 255--256
          S. Bora an Aruoba and   
               Sean D. Campbell   Time Series Analysis by State-Space
                                  Methods  . . . . . . . . . . . . . . . . 255
            Mary Kathryn Cowles   Book Review: \booktitleBayesian
                                  Statistical Modelling, by Peter Congdon  256--257
            Mary Kathryn Cowles   Bayesian Statistical Modelling . . . . . 256
                   Sunil J. Rao   Book Review: \booktitleRegression
                                  Modeling Strategies: With Applications
                                  to Linear Models, Logistic Regression,
                                  and Survival Analysis, by Frank E.
                                  Harrell, Jr. . . . . . . . . . . . . . . 257--258
                   Sunil J. Rao   Regression Modeling Strategies: With
                                  Applications to Linear Models, Logistic
                                  Regression, and Survival Analysis  . . . 257
                 Daniel B. Hall   Book Review: \booktitleAdvanced Linear
                                  Modeling, by Ronald Christensen  . . . . 258--258
   Sreenivasa Rao Jammalamadaka   Book Review: \booktitlePermutation
                                  Methods: A Distance Function Approach,
                                  by Paul W. Mielke, Jr.; Kenneth J. Berry 258--259
                 Daniel B. Hall   Advanced Linear Modeling (second
                                  edition) . . . . . . . . . . . . . . . . 258
   Sreenivasa Rao Jammalamadaka   Permutation Methods: a Distance Function
                                  Approach . . . . . . . . . . . . . . . . 258
                Daniel R. Jeske   Book Review: \booktitleStatistical
                                  Inference: An Integrated Approach, by
                                  Helio S. Migon; Dani Gamerman  . . . . . 259--259
             Mario Peruggia and   
             Paul Embrechts and   
              Eric P. Smith and   
   Sreenivasa Rao Jammalamadaka   Book Review: \booktitleTelegraphic
                                  Reviews  . . . . . . . . . . . . . . . . 259--260
                Daniel R. Jeske   Statistical Inference: An Integrated
                                  Approach . . . . . . . . . . . . . . . . 259
        Willard C. Losinger and   
    Carmen Fernández and   
                  Gary Koop and   
               Mark F. J. Steel   Multiple-Output Production with
                                  Undesirable Outputs: An Application to
                                  Nitrogen Surplus in Agriculture (with
                                  Response)  . . . . . . . . . . . . . . . 261--261
                      Anonymous   Letter to the Editor . . . . . . . . . . 261
                      Anonymous   Back Matter  . . . . . . . . . . . . . . ??
                      Anonymous   Front Matter . . . . . . . . . . . . . . ??

Journal of the American Statistical Association
Volume 98, Number 462, June, 2003

            Dan J. Spitzner and   
               J. S. Marron and   
                   G. K. Essick   Mixed-Model Functional ANOVA for
                                  Studying Human Tactile Perception  . . . 263--272
        Giovanni Parmigiani and   
             Heidi W. Ashih and   
           Gregory P. Samsa and   
           Pamela W. Duncan and   
                Sue Min Lai and   
               David B. Matchar   Cross-Calibration of Stroke Disability
                                  Measures: Bayesian Analysis of
                                  Longitudinal Ordinal Categorical Data
                                  Using Negative Dependence  . . . . . . . 273--281
                Todd Graves and   
             C. Shane Reese and   
                Mark Fitzgerald   Hierarchical Models for Permutations:
                                  Analysis of Auto Racing Results  . . . . 282--291
                Bruce E. Hansen   Recounts From Undervotes: Evidence From
                                  the 2000 Presidential Election . . . . . 292--298
               John Barnard and   
   Constantine E. Frangakis and   
           Jennifer L. Hill and   
                Donald B. Rubin   Principal Stratification Approach to
                                  Broken Randomized Experiments: a Case
                                  Study of School Choice Vouchers in New
                                  York City  . . . . . . . . . . . . . . . 299--311
        Bengt Muthén and   
                   Booil Jo and   
             C. Hendricks Brown   Principal Stratification Approach to
                                  Broken Randomized Experiments: a Case
                                  Study of School Choice Vouchers in New
                                  York City [with Comment] . . . . . . . . 311--314
            Alan B. Krueger and   
                        Pei Zhu   Principal Stratification Approach to
                                  Broken Randomized Experiments: a Case
                                  Study of School Choice Vouchers in New
                                  York City [with Comment] . . . . . . . . 314--318
            Richard A. Berk and   
                    Hongquan Xu   Principal Stratification Approach to
                                  Broken Randomized Experiments: a Case
                                  Study of School Choice Vouchers in New
                                  York City [with Comment] . . . . . . . . 318--320
               John Barnard and   
   Constantine E. Frangakis and   
           Jennifer L. Hill and   
                Donald B. Rubin   Principal Stratification Approach to
                                  Broken Randomized Experiments: a Case
                                  Study of School Choice Vouchers in New
                                  York City [with Rejoinder] . . . . . . . 320--323
        Peter Bühlmann and   
                         Bin Yu   Boosting With the $L_2$ Loss: Regression
                                  and Classification . . . . . . . . . . . 324--339
             R. Dennis Cook and   
              C. Messan Setodji   A Model-Free Test for Reduced Rank in
                                  Multivariate Regression  . . . . . . . . 340--351
               C. C. Holmes and   
                  B. K. Mallick   Generalized Nonlinear Modeling With
                                  Multivariate Free-Knot Regression
                                  Splines  . . . . . . . . . . . . . . . . 352--368
               Heping Zhang and   
              Chang-Yung Yu and   
                 Hongtu Zhu and   
                       Jian Shi   Identification of Linear Directions in
                                  Multivariate Adaptive Spline Models  . . 369--376
         Jonathan R. Stroud and   
          Peter Müller and   
             Nicholas G. Polson   Nonlinear State-Space Models With
                                  State-Dependent Variances  . . . . . . . 377--386
            Alan E. Gelfand and   
              Hyon-Jung Kim and   
              C. F. Sirmans and   
               Sudipto Banerjee   Spatial Modeling With Spatially Varying
                                  Coefficient Processes  . . . . . . . . . 387--396
            Gareth M. James and   
             Catherine A. Sugar   Clustering for Sparsely Sampled
                                  Functional Data  . . . . . . . . . . . . 397--408
               Lori E. Dodd and   
         Margaret Sullivan Pepe   Semiparametric Regression for the Area
                                  Under the Receiver Operating
                                  Characteristic Curve . . . . . . . . . . 409--417
                    Yu Shen and   
                    Jianwen Cai   Sample Size Reestimation for Clinical
                                  Trials With Censored Survival Data . . . 418--426
            Marc A. Suchard and   
            Robert E. Weiss and   
            Karin S. Dorman and   
            Janet S. Sinsheimer   Inferring Spatial Phylogenetic Variation
                                  Along Nucleotide Sequences: a Multiple
                                  Changepoint Model  . . . . . . . . . . . 427--437
            Hemant Ishwaran and   
                   J. Sunil Rao   Detecting Differentially Expressed Genes
                                  in Microarrays Using Bayesian Model
                                  Selection  . . . . . . . . . . . . . . . 438--455
            Abba M. Krieger and   
               Moshe Pollak and   
                 Benjamin Yakir   Surveillance of a Simple Linear
                                  Regression . . . . . . . . . . . . . . . 456--469
                 L. Billard and   
                       E. Diday   From the Statistics of Data to the
                                  Statistics of Knowledge: Symbolic Data
                                  Analysis . . . . . . . . . . . . . . . . 470--487
     Christopher K. I. Williams   Book Review: \booktitleLearning with
                                  Kernels: Support Vector Machines,
                                  Regularization, Optimization, and
                                  Beyond, by Bernhard Schölkopf; Alexander
                                  Smola; \booktitleLearning Kernel
                                  Classifiers, by Ralf Herbrich  . . . . . 489--490
     Christopher K. I. Williams   Learning Kernel Classifiers  . . . . . . 489
     Christopher K. I. Williams   Learning With Kernels: Support Vector
                                  Machines, Regularization, Optimization,
                                  and Beyond . . . . . . . . . . . . . . . 489
              Paul Schliekelman   Book Review: \booktitleStatistical
                                  Methods in Bioinformatics: An
                                  Introduction, by Warren J. Ewens;
                                  Gregory R. Grant . . . . . . . . . . . . 490--491
              Paul Schliekelman   Statistical Methods in Bioinformatics:
                                  An Introduction  . . . . . . . . . . . . 490
                  Deborah Nolan   Book Review: \booktitleStatistics in the
                                  21st Century, by Adrian E. Raftery;
                                  Martin A. Tanner; Martin T. Wells  . . . 491--491
                  Deborah Nolan   Statistics in the 21st Century . . . . . 491
     Christine M. Anderson-Cook   Book Review: \booktitleInterpreting
                                  Quantitative Data, by David Byrne  . . . 492--492
              Harold Sackrowitz   Book Review: \booktitleStatistical
                                  Decision Theory, by Simon French; David
                                  Rios Insua . . . . . . . . . . . . . . . 492--492
               Russell V. Lenth   Book Review: \booktitleBinomial
                                  Distribution Handbook for Scientists and
                                  Engineers, by Elart von Collanist; Klaus
                                  Drager . . . . . . . . . . . . . . . . . 492--493
     Christine M. Anderson-Cook   Interpreting Quantitative Data . . . . . 492
               Russell V. Lenth   Binomial Distribution Handbook for
                                  Scientists and Engineers . . . . . . . . 492
              Harold Sackrowitz   Statistical Decision Theory  . . . . . . 492
                   Alan F. Karr   Book Review: \booktitleMaximum Penalized
                                  Likelihood Estimation, Vol. I: Density
                                  Estimation, by P. P. B. Eggermont; V. N.
                                  LaRiccia . . . . . . . . . . . . . . . . 493--493
                  Robert Taylor   Book Review: \booktitleA User's Guide to
                                  Measure-Theoretic Probability, by David
                                  Pollard  . . . . . . . . . . . . . . . . 493--494
                   Alan F. Karr   Maximum Penalized Likelihood Estimation,
                                  Vol. I: Density Estimation . . . . . . . 493
                  Robert Taylor   A User's Guide to Measure-Theoretic
                                  Probability  . . . . . . . . . . . . . . 493
      Thorsten Rheinländer   Book Review: \booktitleRisk Management:
                                  Value at Risk and Beyond, by M. A. H.
                                  Dempster . . . . . . . . . . . . . . . . 494--494
                Lorens A. Imhof   Book Review: \booktitleMatrix Algebra
                                  and Its Applications to Statistics and
                                  Econometrics, by C. Radhakrishna Rao; M.
                                  Bhaskara Rao . . . . . . . . . . . . . . 494--495
                Lorens A. Imhof   Matrix Algebra and Its Applications to
                                  Statistics and Econometrics  . . . . . . 494
      Thorsten Rheinländer   Risk Management: Value at Risk and
                                  Beyond . . . . . . . . . . . . . . . . . 494
               Andrew L. Rukhin   Book Review: \booktitleMatrix Variate
                                  Distributions, by A. K. Gupta; D. K.
                                  Nagar  . . . . . . . . . . . . . . . . . 495--496
               Andrew L. Rukhin   Matrix Variate Distributions . . . . . . 495
            Timothy J. Robinson   Book Review: \booktitleMultilevel
                                  Analysis: Techniques and Applications,
                                  by Joop Hox  . . . . . . . . . . . . . . 496--496
                 Persi Diaconis   Book Review: \booktitleSequential Monte
                                  Carlo Methods in Practice, by Arnaud
                                  Doucet; Nando de Freitas; Neil Gordon    496--497
                 Persi Diaconis   Sequential Monte Carlo Methods in
                                  Practice . . . . . . . . . . . . . . . . 496
            Timothy J. Robinson   Multilevel Analysis: Techniques and
                                  Applications . . . . . . . . . . . . . . 496
              Mervyn Marasinghe   Book Review: \booktitleNumerical Methods
                                  of Statistics, by John F. Monahan  . . . 497--498
              Mervyn Marasinghe   Numerical Methods of Statistics  . . . . 497
             Mario Peruggia and   
 Christine M. Anderson-Cook and   
             Mario Peruggia and   
               Alan F. Karr and   
               Russell V. Lenth   Book Review: \booktitleTelegraphic
                                  Reviews  . . . . . . . . . . . . . . . . 499--500
                      Anonymous   Corrections: The Distribution of
                                  Realized Exchange Rate Volatility  . . . 501--501
                      Anonymous   Corrections: Letter to the Editor  . . . 501--501
                      Anonymous   Corrections  . . . . . . . . . . . . . . 501
                      Anonymous   Back Matter  . . . . . . . . . . . . . . ??
                      Anonymous   Front Matter . . . . . . . . . . . . . . ??

Journal of the American Statistical Association
Volume 98, Number 463, September, 2003

        Jennifer A. Hoeting and   
         Richard L. Tweedie and   
             Christine S. Olver   Transform Estimation of Parameters for
                                  Stage-Frequency Data . . . . . . . . . . 503--514
              Peter E. Jupp and   
               Peter T. Kim and   
                Ja-Yong Koo and   
                   Paul Wiegert   The Intrinsic Distribution and Selection
                                  Bias of Long-Period Cometary Orbits  . . 515--521
                  J. M. Loh and   
                M. L. Stein and   
                J. M. Quashnock   Estimating the Large-Scale Structure of
                                  the Universe Using Quasi-Stellar Object
                                  Carbon IV Absorbers  . . . . . . . . . . 522--532
            David F. Layton and   
              Richard A. Levine   How Much Does the Far Future Matter? A
                                  Hierarchical Bayesian Analysis of the
                                  Public's Willingness to Mitigate
                                  Ecological Impacts of Climate Change . . 533--544
                  Dan Black and   
               Seth Sanders and   
                  Lowell Taylor   Measurement of Higher Education in the
                                  Census and Current Population Survey . . 545--554
                David B. Dunson   Dynamic Latent Trait Models for
                                  Multidimensional Longitudinal Data . . . 555--563
           Peter Boatwright and   
               Sharad Borle and   
               Joseph B. Kadane   A Model of the Joint Distribution of
                                  Purchase Quantity and Timing . . . . . . 564--572
          Jeffrey S. Morris and   
            Marina Vannucci and   
            Philip J. Brown and   
             Raymond J. Carroll   Wavelet-Based Nonparametric Modeling of
                                  Hierarchical Functions in Colon
                                  Carcinogenesis . . . . . . . . . . . . . 573--583
              Merlise Clyde and   
               Edward I. George   Wavelet-Based Nonparametric Modeling of
                                  Hierarchical Functions in Colon
                                  Carcinogenesis [with Comment]  . . . . . 584--585
              Merlise Clyde and   
               Edward I. George   Comment  . . . . . . . . . . . . . . . . 584
               Eric D. Kolaczyk   Wavelet-Based Nonparametric Modeling of
                                  Hierarchical Functions in Colon
                                  Carcinogenesis [with Comment]  . . . . . 585--588
               Eric D. Kolaczyk   Comment  . . . . . . . . . . . . . . . . 585
                Colin O. Wu and   
               Jianhua Z. Huang   Wavelet-Based Nonparametric Modeling of
                                  Hierarchical Functions in Colon
                                  Carcinogenesis [with Comment]  . . . . . 588--591
                Colin O. Wu and   
               Jianhua Z. Huang   Comment  . . . . . . . . . . . . . . . . 588
          Jeffrey S. Morris and   
            Marina Vannucci and   
            Philip J. Brown and   
             Raymond J. Carroll   Wavelet-Based Nonparametric Modeling of
                                  Hierarchical Functions in Colon
                                  Carcinogenesis [with Rejoinder]  . . . . 591--597
          Jeffrey S. Morris and   
            Marina Vannucci and   
            Philip J. Brown and   
             Raymond J. Carroll   Rejoinder  . . . . . . . . . . . . . . . 591
                 Peter Hall and   
         Hans-Georg Müller   Order-Preserving Nonparametric
                                  Regression, With Applications to
                                  Conditional Distribution and Quantile
                                  Function Estimation  . . . . . . . . . . 598--608
                 Chunming Zhang   Calibrating the Degrees of Freedom for
                                  Automatic Data Smoothing and Effective
                                  Curve Checking . . . . . . . . . . . . . 609--628
              Willa W. Chen and   
            Clifford M. Hurvich   Semiparametric Estimation of
                                  Multivariate Fractional Cointegration    629--642
               Wensheng Guo and   
                   Ming Dai and   
          Hernando C. Ombao and   
               Rainer von Sachs   Smoothing Spline ANOVA for
                                  Time-Dependent Spectral Analysis . . . . 643--652
            Marc A. Suchard and   
            Robert E. Weiss and   
        Janet S. Sinsheimer and   
            Karin S. Dorman and   
                Megha Patel and   
            Edward R. B. McCabe   Evolutionary Similarity Among Genes  . . 653--662
               Yijian Huang and   
                 Mei-Cheng Wang   Frequency of Recurrent Events at Failure
                                  Time: Modeling and Inference . . . . . . 663--670
                 Feifang Hu and   
         William F. Rosenberger   Optimality, Variability, Power:
                                  Evaluating Response-Adaptive
                                  Randomization Procedures for Treatment
                                  Comparisons  . . . . . . . . . . . . . . 671--678
               Holger Dette and   
            Stefanie Biedermann   Robust and Efficient Designs for the
                                  Michaelis--Menten Model  . . . . . . . . 679--686
                     Pedro Puig   Characterizing Additively Closed
                                  Discrete Models by a Property of Their
                                  Maximum Likelihood Estimators, With an
                                  Application to Generalized Hermite
                                  Distributions  . . . . . . . . . . . . . 687--692
               Moshe Shaked and   
         Alfonso Suarez-Llorens   On the Comparison of Reliability
                                  Experiments Based on the Convolution
                                  Order  . . . . . . . . . . . . . . . . . 693--702
         Kristin N. Javaras and   
               David A. van Dyk   Multiple Imputation for Incomplete Data
                                  with Semicontinuous Variables  . . . . . 703--715
               Junyuan Wang and   
                Wayne A. Fuller   The Mean Squared Error of Small Area
                                  Predictors Constructed with Estimated
                                  Area Variances . . . . . . . . . . . . . 716--723
              Xiaotong Shen and   
            George C. Tseng and   
              Xuegong Zhang and   
                 Wing Hung Wong   On $\psi$-Learning . . . . . . . . . . . 724--734
                    Glen Meeden   A Bayesian Solution for a Statistical
                                  Auditing Problem . . . . . . . . . . . . 735--740
     Thomas Michael Dubinin and   
         Stephen Bruce Vardeman   Likelihood-Based Inference in Some
                                  Continuous Exponential Families with
                                  Unknown Threshold Parameters . . . . . . 741--749
         Catherine A. Sugar and   
                Gareth M. James   Finding the Number of Clusters in a
                                  Dataset: An Information-Theoretic
                                  Approach . . . . . . . . . . . . . . . . 750--763
                  Karen Kafadar   Book Review: \booktitleTesting for
                                  Normality, by Henry C. Thode, Jr.  . . . 765--765
                 Dale Zimmerman   Book Review: \booktitleGeographically
                                  Weighted Regression, by A. Stewart
                                  Fotheringham; Chris Brunsdon; Martin
                                  Charlton . . . . . . . . . . . . . . . . 765--766
                   J. P. Morgan   Book Review: \booktitleA First Course in
                                  Linear Model Theory, by Nalini
                                  Ravishanker; Dipak K. Dey  . . . . . . . 766--767
                 Marie Davidian   Book Review: \booktitleHierarchical
                                  Linear Models: Applications and Data
                                  Analysis Methods (second edition), by
                                  Stephen W. Raudenbush; Anthony S. Bryk   767--768
             Montserrat Fuentes   Book Review: \booktitlePredictions in
                                  Time Series Using Regression Models, by
                                  Frantisek Stulajter  . . . . . . . . . . 768--769
                 Paul Embrechts   Book Review: \booktitleMartingales and
                                  Markov Chains: Solved Exercises and
                                  Elements of Theory, by Paolo Baldi;
                                  Laurent Mazliak; Pierre Priouret . . . . 769--769
                Badi H. Baltagi   Book Review: \booktitlePanel Data
                                  Econometrics: Method-of-Moments and
                                  Limited Dependent Variables, by
                                  Myoung-Jae Lee . . . . . . . . . . . . . 769--770
          Hans-Jakob Lüthi   Book Review: \booktitleAlgorithms for
                                  Worst-Case Design and Applications to
                                  Risk Management, by Berç Rustem;
                                  Melendres Howe . . . . . . . . . . . . . 770--770
     Christine M. Anderson-Cook   Book Review: \booktitleStatistical
                                  Analysis of Designed Experiments (second
                                  edition), by Helge Toutenburg  . . . . . 770--771
                N. Rao Chaganty   Book Review: \booktitleSubjective
                                  Probability Models for Lifetimes, by
                                  Fabio Spizzichino  . . . . . . . . . . . 771--771
            Rebecca A. Betensky   Book Review: \booktitleAnalysis of
                                  Failure and Survival Data, by Peter J.
                                  Smith  . . . . . . . . . . . . . . . . . 771--772
              Herbert K. H. Lee   Book Review: \booktitleElements of
                                  Computational Statistics, by James E.
                                  Gentle . . . . . . . . . . . . . . . . . 772--773
              William R. Clarke   Book Review: \booktitleLongitudinal Data
                                  and SAS: A Programmer's Guide, by Ron
                                  Cody . . . . . . . . . . . . . . . . . . 773--773
              Jeffrey D. Dawson   Book Review: \booktitleAnalyzing Medical
                                  Data Using S-PLUS, by Brian Everitt;
                                  Sophia Rabe-Hesketh  . . . . . . . . . . 773--774
                   Jane Lindsey   Book Review: \booktitleClinical Trials,
                                  by Lelia Duley; Barbara Farrell  . . . . 774--774
                   Brian Habing   Book Review: \booktitleIntroduction to
                                  Nonparametric Item Response Theory, by
                                  Klaas Sijtsma; Ivo W. Molenaar . . . . . 774--775
            Christopher Winship   Book Review: \booktitleLogit and Probit:
                                  Ordered and Multinomial Models, by Vani
                                  K. Borooah . . . . . . . . . . . . . . . 775--776
                  Rick Chappell   Book Review: \booktitleMultivariate
                                  Statistical Modelling Based on
                                  Generalized Linear Models (2nd ed.), by
                                  Ludwig Fahrmeir; Gerhard Tutz  . . . . . 776--777
                Robert Lund and   
 Christine M. Anderson-Cook and   
             Mario Peruggia and   
                 Paul Embrechts   Book Review: \booktitleTelegraphic
                                  Reviews  . . . . . . . . . . . . . . . . 777--778
                      Anonymous   Corrections: Cox Regression with
                                  Accurate Covariates Unascertainable: a
                                  Nonparametric-Correction Approach  . . . 779--779
                      Anonymous   Corrections: Objective Bayesian Analysis
                                  of Spatially Correlated Dara . . . . . . 779--779
                      Anonymous   Corrections  . . . . . . . . . . . . . . 779
                      Anonymous   Back Matter  . . . . . . . . . . . . . . ??
                      Anonymous   Front Matter . . . . . . . . . . . . . . ??

Journal of the American Statistical Association
Volume 98, Number 464, December, 2003

             Ron Brookmeyer and   
                 Natalie Blades   Statistical Models and Bioterrorism:
                                  Application to the U.S. Anthrax Outbreak 781--788
       Frederic Paik Schoenberg   Multidimensional Residual Analysis of
                                  Point Process Models for Earthquake
                                  Occurrences  . . . . . . . . . . . . . . 789--795
             Craig J. Johns and   
             Douglas Nychka and   
       Timothy G. F. Kittel and   
                     Chris Daly   Infilling Sparse Records of Spatial
                                  Fields . . . . . . . . . . . . . . . . . 796--806
      Bonnie Ghosh-Dastidar and   
              Joseph L. Schafer   Multiple Edit/Multiple Imputation for
                                  Multivariate Continuous Data . . . . . . 807--817
             Nathaniel Schenker   Assessing Variability Due to Race
                                  Bridging: Application to Census Counts
                                  and Vital Rates for the Year 2000  . . . 818--828
            Anthony Garratt and   
                  Kevin Lee and   
          M. Hashem Pesaran and   
                 Yongcheol Shin   Forecast Uncertainties in Macroeconomic
                                  Modeling: An Application to the U.K.
                                  Economy  . . . . . . . . . . . . . . . . 829--838
                Remy Cottet and   
                  Michael Smith   Bayesian Modeling and Forecasting of
                                  Intraday Electricity Load  . . . . . . . 839--849
            Thaddeus Tarpey and   
                Eva Petkova and   
                  R. Todd Ogden   Profiling Placebo Responders by
                                  Self-Consistent Partitioning of
                                  Functional Data  . . . . . . . . . . . . 850--858
              A. S. Foulkes and   
                 V. De Gruttola   Characterizing the Progression of Viral
                                  Mutations Over Time  . . . . . . . . . . 859--867
               Cavan Reilly and   
             Changchun Wang and   
                Mark Rutherford   A Method for Normalizing Microarrays
                                  Using Genes That Are Not Differentially
                                  Expressed  . . . . . . . . . . . . . . . 868--878
             Nils Lid Hjort and   
                Gerda Claeskens   Frequentist Model Average Estimators . . 879--899
            Gerda Claeskens and   
             Nils Lid Hjort and   
              Xiaotong Shen and   
        Daniel P. Dougherty and   
          Wesley O. Johnson and   
            Hemant Ishwaran and   
               J. Sunil Rao and   
             R. Dennis Cook and   
                   Lexin Li and   
             Chih-Ling Tsai and   
          Adrian E. Raftery and   
               Yingye Zheng and   
             Nils Lid Hjort and   
                Gerda Claeskens   The Focused Information Criterion  . . . 900--916
              Xiaotong Shen and   
            Daniel P. Dougherty   Discussion: Inference and
                                  Interpretability Considerations in
                                  Frequentist Model Averaging and
                                  Selection  . . . . . . . . . . . . . . . 917--919
              Wesley O. Johnson   Discussion: Inference and
                                  Interpretability Considerations in
                                  Frequentist Model Averaging and
                                  Selection  . . . . . . . . . . . . . . . 919--921
            Hemant Ishwaran and   
                   J. Sunil Rao   Discussion: Inference and
                                  Interpretability Considerations in
                                  Frequentist Model Averaging and
                                  Selection  . . . . . . . . . . . . . . . 922--925
                Dennis Cook and   
                       Lexin Li   Discussion: Inference and
                                  Interpretability Considerations in
                                  Frequentist Model Averaging and
                                  Selection  . . . . . . . . . . . . . . . 925--928
                 Chih-Ling Tsai   Discussion: Improved, Corrected, and
                                  Profiled Focused Information Criteria    928--930
          Adrian E. Raftery and   
                   Yingye Zheng   Discussion: Performance of Bayesian
                                  Model Averaging  . . . . . . . . . . . . 931--938
             Nils Lid Hjort and   
                Gerda Claeskens   Rejoinder: Performance of Bayesian Model
                                  Averaging  . . . . . . . . . . . . . . . 938--945
           Sudipto Banerjee and   
            Alan E. Gelfand and   
                  C. F. Sirmans   Directional Rates of Change Under
                                  Spatial Process Models . . . . . . . . . 946--954
                   Shiqing Ling   Adaptive Estimators and Tests of
                                  Stationary and Nonstationary Short- and
                                  Long-Memory ARFIMA-GARCH Models  . . . . 955--967
                 Zhishen Ye and   
                Robert E. Weiss   Using the Bootstrap to Select One of a
                                  New Class of Dimension Reduction Methods 968--979
                Zhijie Xiao and   
           Oliver B. Linton and   
         Raymond J. Carroll and   
                    Enno Mammen   More Efficient Local Polynomial
                                  Estimation in Nonparametric Regression
                                  With Autocorrelated Errors . . . . . . . 980--992
              Adam Clements and   
                  Stan Hurn and   
                Kenneth Lindsay   Möbius-Like Mappings and Their Use in
                                  Kernel Density Estimation  . . . . . . . 993--1000
                Stephen Portnoy   Censored Regression Quantiles  . . . . . 1001--1012
                  Xuming He and   
                    Li-Xing Zhu   A Lack-of-Fit Test for Quantile
                                  Regression . . . . . . . . . . . . . . . 1013--1022
               Heping Zhang and   
                   Rui Feng and   
                     Hongtu Zhu   A Latent Variable Model of Segregation
                                  Analysis for Ordinal Traits  . . . . . . 1023--1034
               Ola Hössjer   Determining Inheritance Distributions
                                  via Stochastic Penetrances . . . . . . . 1035--1051
                     Ola Hssjer   Determining Inheritance Distributions
                                  via Stochastic Penetrances . . . . . . . 1035--1051
               Song Xi Chen and   
          Denis H. Y. Leung and   
                       Jing Qin   Information Recovery in a Study With
                                  Surrogate Endpoints  . . . . . . . . . . 1052--1062
             A. D. Tsodikov and   
              J. G. Ibrahim and   
                 A. Y. Yakovlev   Estimating Cure Rates From Survival
                                  Data: An Alternative to Two-Component
                                  Mixture Models . . . . . . . . . . . . . 1063--1078
         William E. Strawderman   Book Review: \booktitleAnnotated
                                  Readings in the History of Statistics,
                                  by H. A. David; A. W. F. Edwards . . . . 1080--1080
               Jozef L. Teugels   Book review: \booktitleThe Politics of
                                  Large Numbers: a History of Statistical
                                  Reasoning, by Alain Desrosieres;
                                  translated By Camille Naish  . . . . . . 1080--1080
                Michael Daniels   Book Review: \booktitleContemporary
                                  Statistical Models for the Plant and
                                  Soil Sciences, by Oliver Schabenberger;
                                  Francis J. Pierce  . . . . . . . . . . . 1080--1082
                      Harry Joe   Book Review: \booktitleMultivariate
                                  Dispersion, Central Regions and Depth:
                                  The Lift Zonoid Approach, by Karl Mosler 1082--1082
           Marieke E. Timmerman   Book Review: \booktitlePrincipal
                                  Component Analysis (second edition), by
                                  I. T. Jolliffe . . . . . . . . . . . . . 1082--1083
             Kathryn A. Prewitt   Book Review: \booktitleA
                                  Distribution-Free Theory of
                                  Nonparametric Regression, by Laszlo
                                  Gyrfi; Michael Kohler; Adam Krzyzak;
                                  Harro Walk . . . . . . . . . . . . . . . 1084--1084
           Òrnulf Borgan   Book Review: \booktitleThe Statistical
                                  Analysis of Failure Time Data (second
                                  edition), by John D. Kalbfleisch; Ross
                                  L. Prentice  . . . . . . . . . . . . . . 1084--1085
                 Robert B. Lund   Book Review: \booktitleElements of
                                  Applied Stochastic Processes (3rd ed.),
                                  by U. Narayan Bhat; Gregory K. Miller    1085--1086
                 Joseph B. Lang   Book Review: \booktitleAn Introduction
                                  to Generalized Linear Models (second
                                  edition), by Annette J. Dobson . . . . . 1086--1087
                 Roland Bassett   Book Review: \booktitleDebugging SAS
                                  Programs: A Handbook of Tools and
                                  Techniques, by Michele M. Burlew . . . . 1087--1087
         Carolyn Pillers Dobler   Book Review: \booktitleTelegraphic
                                  Reviews  . . . . . . . . . . . . . . . . 1087--1087
         Carolyn Pillers Dobler   Book Review: \booktitleTelegraphic
                                  Reviews  . . . . . . . . . . . . . . . . 1087--1087
                      Anonymous   Telegraphic Reviews  . . . . . . . . . . 1087
                      Anonymous   Back Matter  . . . . . . . . . . . . . . ??
                      Anonymous   Front Matter . . . . . . . . . . . . . . ??
                      Anonymous   Volume Information . . . . . . . . . . . ??


Journal of the American Statistical Association
Volume 99, Number 465, March, 2004

                Robert L. Mason   Does the Statistics Profession Have an
                                  Identity Crisis? . . . . . . . . . . . . 1--6
              Robert Greevy and   
          Jeffrey H. Silber and   
               Avital Cnaan and   
              Paul R. Rosenbaum   Randomization Inference With Imperfect
                                  Compliance in the ACE-Inhibitor After
                                  Anthracycline Randomized Trial . . . . . 7--15
         Thomas R. Ten Have and   
         Michael R. Elliott and   
             Marshall Joffe and   
             Elaine Zanutto and   
                Catherine Datto   Causal Models for Randomized Physician
                                  Encouragement Trials in Treating Primary
                                  Care Depression  . . . . . . . . . . . . 16--25
          B. Nebiyou Bekele and   
                 Peter F. Thall   Dose-Finding Based on Multiple
                                  Toxicities in a Soft Tissue Sarcoma
                                  Trial  . . . . . . . . . . . . . . . . . 26--35
             Scott M. Berry and   
            Donald A. Berry and   
           Kannan Natarajan and   
             Chen-Sheng Lin and   
       Charles H. Hennekens and   
                    Rene Belder   Bayesian Survival Analysis With
                                  Nonproportional Hazards: Metanalysis of
                                  Combination Pravastatin-Aspirin  . . . . 36--44
             J. R. Lockwood and   
          Mark J. Schervish and   
          Patrick L. Gurian and   
              Mitchell J. Small   Analysis of Contaminant Co-Occurrence in
                                  Community Water Systems  . . . . . . . . 45--56
              Robert Jarrow and   
              David Ruppert and   
                         Yan Yu   Estimating the Interest Rate Term
                                  Structure of Corporate Debt With a
                                  Semiparametric Penalized Spline Model    57--66
              Yoonkyung Lee and   
                     Yi Lin and   
                    Grace Wahba   Multicategory Support Vector Machines:
                                  Theory and Application to the
                                  Classification of Microarray Data and
                                  Satellite Radiance Data  . . . . . . . . 67--81
        Magnus Ekström and   
     Sara Sjöstedt-De Luna   Subsampling Methods to Estimate the
                                  Variance of Sample Means Based on
                                  Nonstationary Spatial Data With Varying
                                  Expected Values  . . . . . . . . . . . . 82--95
                  Bradley Efron   Large-Scale Simultaneous Hypothesis
                                  Testing: The Choice of a Null Hypothesis 96--104
              Chengcheng Hu and   
                      D. Y. Lin   Semiparametric Failure Time Regression
                                  With Replicates of Mismeasured
                                  Covariates . . . . . . . . . . . . . . . 105--118
            D. F. Signorini and   
                    M. C. Jones   Kernel Estimators for Univariate Binary
                                  Regression . . . . . . . . . . . . . . . 119--126
            Nilanjan Chatterjee   A Two-Stage Regression Model for
                                  Epidemiological Studies With
                                  Multivariate Disease Classification Data 127--138
                      K. Yu and   
                    M. C. Jones   Likelihood-Based Local Linear Estimation
                                  of the Conditional Variance Function . . 139--144
               A. Adam Ding and   
                   Weijing Wang   Testing Independence for Bivariate
                                  Current Status Data  . . . . . . . . . . 145--155
           Simon J. Godsill and   
              Arnaud Doucet and   
                      Mike West   Monte Carlo Smoothing for Nonlinear Time
                                  Series . . . . . . . . . . . . . . . . . 156--168
                E. Ferreira and   
                       W. Stute   Testing for Differences Between
                                  Conditional Means in a Time Series
                                  Context  . . . . . . . . . . . . . . . . 169--174
            Hemant Ishwaran and   
              Lancelot F. James   Computational Methods for Multiplicative
                                  Intensity Models Using Weighted Gamma
                                  Processes: Proportional Hazards, Marked
                                  Point Processes, and Panel Count Data    175--190
              Sylvain Sardy and   
                     Paul Tseng   On the Statistical Analysis of Smoothing
                                  by Maximizing Dirty Markov Random Field
                                  Posterior Distributions  . . . . . . . . 191--204
             Maria De Iorio and   
          Peter Müller and   
             Gary L. Rosner and   
           Steven N. MacEachern   An ANOVA Model for Dependent Random
                                  Measures . . . . . . . . . . . . . . . . 205--215
             Brett Presnell and   
                 Dennis D. Boos   The IOS Test for Model Misspecification  216--227
             Dobrin Marchev and   
                James P. Hobert   Geometric Ergodicity of van Dyk and
                                  Meng's Algorithm for the Multivariate
                                  Student's $t$ Model  . . . . . . . . . . 228--238
   Constantine E. Frangakis and   
       Ronald S. Brookmeyer and   
              Ravi Varadhan and   
         Mahboobeh Safaeian and   
               David Vlahov and   
         Steffanie A. Strathdee   Methodology for Evaluating a Partially
                                  Controlled Longitudinal Treatment Using
                                  Principal Stratification, With
                                  Application to a Needle Exchange Program 239--249
                      Hao Zhang   Inconsistent Estimation and
                                  Asymptotically Equal Interpolations in
                                  Model-Based Geostatistics  . . . . . . . 250--261
        Don L. Stevens, Jr. and   
               Anthony R. Olsen   Spatially Balanced Sampling of Natural
                                  Resources  . . . . . . . . . . . . . . . 262--278
           Joseph B. Kadane and   
                Nicole A. Lazar   Methods and Criteria for Model Selection 279--290
              Brian J. Williams   Book Review: \booktitleVisualizing
                                  Statistical Models and Concepts, by R.
                                  W. Farebrother . . . . . . . . . . . . . 292--292
                 Joachim Krauth   Book Review: \booktitleConfigural
                                  Frequency Analysis: Methods, Models, and
                                  Applications, by Alexander von Eye . . . 292--293
                      Axel Munk   Book Review: \booktitleTesting
                                  Statistical Hypotheses of Equivalence,
                                  by Stefan Wellek . . . . . . . . . . . . 293--293
             Gauri Sankar Datta   Book Review: \booktitleSmall Area
                                  Estimation, by J. N. K. Rao  . . . . . . 294--295
                     George Yin   Book Review: \booktitleStochastic
                                  Approximation and Its Applications, by
                                  Han-Fu Chen  . . . . . . . . . . . . . . 295--296
            Timothy J. Robinson   Book Review: \booktitleOptimal Design of
                                  Blocked and Split-Plot Experiments, by
                                  Peter Goos . . . . . . . . . . . . . . . 296--297
                R. Scott Linder   Book Review: \booktitleParametric and
                                  Nonparametric Inference from
                                  Record-Breaking Data, by Sneh Gulati;
                                  William J. Padgett . . . . . . . . . . . 297--297
              James D. Williams   Book Review: \booktitleGeneralized
                                  Estimating Equations, by James W.
                                  Hardin; Joseph M. Hilbe  . . . . . . . . 297--298
                       E. Boone   Book review: \booktitleStatistical
                                  Models and Methods for Lifetime Data
                                  (second edition), by Jerald F. Lawless   298--299
               Joseph Cavanaugh   Book Review: \booktitleRegression Models
                                  for Time Series Analysis, by Benjamin
                                  Kedem; Konstantinos Fokianos . . . . . . 299--299
                      Anonymous   Book review: \booktitleRegression Models
                                  for Time Series Analysis. Benjamin Kedem
                                  and Konstantinos Fokianos  . . . . . . . 299
                      Anonymous   Telegraphic Reviews  . . . . . . . . . . 300--301
             Mario Peruggia and   
       Paul A. L. Embrechts and   
 Christine M. Anderson-Cook and   
               Russell V. Lenth   Book Review: \booktitleTelegraphic
                                  Reviews  . . . . . . . . . . . . . . . . 300--301
                      Anonymous   Back Matter  . . . . . . . . . . . . . . ??
                      Anonymous   Front Matter . . . . . . . . . . . . . . ??

Journal of the American Statistical Association
Volume 99, Number 466, April, 2004

             Dean P. Foster and   
                Robert A. Stine   Variable Selection in Data Mining:
                                  Building a Predictive Model for
                                  Bankruptcy . . . . . . . . . . . . . . . 303--313
            Joseph W. Hogan and   
                 Rusty Tchernis   Bayesian Factor Analysis for Spatially
                                  Correlated Data, With Application to
                                  Summarizing Area-Level Material
                                  Deprivation From Census Data . . . . . . 314--324
                    R. King and   
                   S. P. Brooks   A Classical Study of Catch-Effort Models
                                  for Hector's Dolphins  . . . . . . . . . 325--333
                 Qihua Wang and   
              Oliver Linton and   
           Wolfgang Härdle   Semiparametric Regression Analysis With
                                  Missing Response at Random . . . . . . . 334--345
                 Hongqi Xue and   
                  K. F. Lam and   
                     Guoying Li   Sieve Maximum Likelihood Estimator for
                                  Semiparametric Regression Models With
                                  Current Status Data  . . . . . . . . . . 346--356
                  Hua Liang and   
                Suojin Wang and   
            James M. Robins and   
             Raymond J. Carroll   Estimation in Partially Linear Models
                                  With Missing Covariates  . . . . . . . . 357--367
              M. G. Akritas and   
                   N. Papadatos   Heteroscedastic One-Way ANOVA and
                                  Lack-of-Fit Tests  . . . . . . . . . . . 368--382
  E. Andrés Houseman and   
             Louise M. Ryan and   
                 Brent A. Coull   Cholesky Residuals for Assessing Normal
                                  Errors in a Linear Model With Correlated
                                  Outcomes . . . . . . . . . . . . . . . . 383--394
                    Wei Liu and   
         Mortaza Jamshidian and   
                     Ying Zhang   Multiple Comparison of Several Linear
                                  Regression Models  . . . . . . . . . . . 395--403
             Stephen Walker and   
                Paul Damien and   
                     Peter Lenk   On Priors With a Kullback--Leibler
                                  Property . . . . . . . . . . . . . . . . 404--408
                    Jun Xie and   
                Ker-Chau Li and   
                     Minou Bina   A Bayesian Insertion/Deletion Algorithm
                                  for Distant Protein Motif Searching via
                                  Entropy Filtering  . . . . . . . . . . . 409--420
              Ming-Hui Chen and   
          Joseph G. Ibrahim and   
                    Qi-Man Shao   Propriety of the Posterior Distribution
                                  and Existence of the MLE for Regression
                                  Models With Covariates Missing at Random 421--438
         Thomas J. DiCiccio and   
               Anna Clara Monti   Inferential Aspects of the Skew
                                  Exponential Power Distribution . . . . . 439--450
                Sanjoy K. Sinha   Robust Analysis of Generalized Linear
                                  Mixed Models . . . . . . . . . . . . . . 451--460
              A. S. Hedayat and   
                       Min Yang   Universal Optimality for Selected
                                  Crossover Designs  . . . . . . . . . . . 461--466
                Yonghee Lee and   
                   Jun Shao and   
               Shein-Chung Chow   Modified Large-Sample Confidence
                                  Intervals for Linear Combinations of
                                  Variance Components: Extension, Theory,
                                  and Application  . . . . . . . . . . . . 467--478
            George G. Judge and   
            Ron C. Mittelhammer   A Semiparametric Basis for Combining
                                  Estimation Problems Under Quadratic Loss 479--487
           Richard Charnigo and   
                    Jiayang Sun   Testing Homogeneity in a Mixture
                                  Distribution via the $L^2$ Distance
                                  Between Competing Models . . . . . . . . 488--498
             Denis Larocque and   
         Mélanie Labarre   A Conditionally Distribution-Free
                                  Multivariate Sign Test for One-Sided
                                  Alternatives . . . . . . . . . . . . . . 499--509
                Kenneth M. Rice   Equivalence Between Conditional and
                                  Mixture Approaches to the Rasch Model
                                  and Matched Case-Control Studies, With
                                  Applications . . . . . . . . . . . . . . 510--522
               Perry de Valpine   Monte Carlo State-Space Likelihoods by
                                  Weighted Posterior Kernel Density
                                  Estimation . . . . . . . . . . . . . . . 523--536
                  Andrew Gelman   Parameterization and Bayesian Modeling   537--545
             Roderick J. Little   To Model or Not To Model? Competing
                                  Modes of Inference for Finite Population
                                  Sampling . . . . . . . . . . . . . . . . 546--556
              Rachel M. Fewster   Book Review: \booktitleEstimating Animal
                                  Abundance: Closed Populations, by David
                                  Borchers; Stephen T. Buckland; Walter
                                  Zucchini . . . . . . . . . . . . . . . . 558--558
                   R. A. Bailey   Book Review: \booktitleBlock Designs: A
                                  Randomization Approach, by Tadeusz
                                  Calínski; Sanpei Kageyama . . . . . . . . 558--560
               Robert Gentleman   Book Review: \booktitleCurrent Topics in
                                  Computational Molecular Biology, by Tao
                                  Jiang; Ying Xu; Michael Q. Zhang . . . . 560--560
              Noah A. Rosenberg   Book Review: \booktitleProbability
                                  Models for DNA Sequence Evolution, by
                                  Rick Durrett . . . . . . . . . . . . . . 560--561
                    Yuhong Yang   Book Review: \booktitleNonlinear
                                  Estimation and Classification, by David
                                  D. Denison; Mark H. Hansen; Christopher
                                  C. Holmes; Bani Mallick; Bin Yu  . . . . 561--561
               Christophe Pouet   Book Review: \booktitleNonparametric
                                  Goodness-of-Fit Testing under Gaussian
                                  Models, by Yu I. Ingster; Irina A.
                                  Suslina  . . . . . . . . . . . . . . . . 561--562
              George R. Terrell   Book Review: \booktitleApplied
                                  Probability, by Kenneth Lange  . . . . . 562--562
                      Ralf Korn   Book Review: \booktitleAn Elementary
                                  Introduction to Mathematical Finance:
                                  Options and Other Topics, by Sheldon M.
                                  Ross . . . . . . . . . . . . . . . . . . 563--563
                 X. Sheldon Lin   Book Review: \booktitleGeneralized
                                  Poisson Models and Their Applications in
                                  Insurance and Finance, by Vladimir E.
                                  Bening; Victor Yu Korolev  . . . . . . . 563--563
                 J. R. Lockwood   Book Review: \booktitleRisk Analysis in
                                  Engineering and Economics, by Bilal M.
                                  Ayyub  . . . . . . . . . . . . . . . . . 563--564
            Alexander J. McNeil   Book Review: \booktitleModeling
                                  Financial Time Series with S-Plus, by
                                  Eric Zivot; Jiahui Wang  . . . . . . . . 564--565
       Philipp Schönbucher   Book review: \booktitleApplied
                                  Computational Economics and Finance.
                                  Mario J. Miranda and Paul L. Fackler . . 565--566
           Christopher K. Wikle   Book Review: \booktitleComputational
                                  Statistics Handbook with MATLAB, by
                                  Wendy Martinez; Angel R. Martinez  . . . 566--566
                  David Ruppert   Book Review: \booktitleThe Elements of
                                  Statistical Learning: Data Mining,
                                  Inference, and Prediction, by Trevor
                                  Hastie; Robert Tibshirani; Jerome
                                  Friedman . . . . . . . . . . . . . . . . 567--567
         Harriet Black Nembhard   Book Review: \booktitleStatistical
                                  Process Adjustment Methods for Quality
                                  Control, by Enrique del Castillo . . . . 567--568
     Christine M. Anderson-Cook   Book Review: \booktitleA Primer on
                                  Statistical Distributions, by N.
                                  Balakrishnan; V. B. Nevzorov . . . . . . 568--568
         Carolyn Pillers Dobler   Book Review: \booktitleStatistical
                                  Tables, Explained and Applied, by Louis
                                  Laurencelle; François-A. Dupuis . . . . . 568--569
               Russell V. Lenth   Book Review: \booktitleThe Cognitive
                                  Style of PowerPoint, by Edward R. Tufte  569--569
                      Anonymous   Telegraphic Reviews  . . . . . . . . . . 570--573
            Tapabrata Maiti and   
              Jon Wakefield and   
       Paul A. L. Embrechts and   
           Vincent J. Carey and   
             Mario Peruggia and   
           Robert Gentleman and   
               Phil Spector and   
               Roger Ghanem and   
        Mary Kathryn Cowles and   
               David Hunter and   
               Russell V. Lenth   Book Review: \booktitleTelegraphic
                                  Reviews  . . . . . . . . . . . . . . . . 570--573
                      Anonymous   Back Matter  . . . . . . . . . . . . . . ??
                      Anonymous   Front Matter . . . . . . . . . . . . . . ??

Journal of the American Statistical Association
Volume 99, Number 467, September, 2004

                  Yulia Gel and   
          Adrian E. Raftery and   
           Tilmann Gneiting and   
            Claudia Tebaldi and   
                Doug Nychka and   
             William Briggs and   
           Mark S. Roulston and   
           Veronica J. Berrocal   Calibrated Probabilistic Mesoscale
                                  Weather Field Forecasting: The
                                  Geostatistical Output Perturbation
                                  Method [with Comments, Rejoinder]  . . . 575--583
            Claudia Tebaldi and   
                    Doug Nychka   Comment: Calibrated Probabilistic
                                  Mesoscale Weather Field Forecasting: The
                                  Geostatistical Output Perturbation
                                  Method . . . . . . . . . . . . . . . . . 583--586
                 William Briggs   Comment: Calibrated Probabilistic
                                  Mesoscale Weather Field Forecasting: The
                                  Geostatistical Output Perturbation
                                  Method . . . . . . . . . . . . . . . . . 586--587
               Mark S. Roulston   Comment: Calibrated Probabilistic
                                  Mesoscale Weather Field Forecasting: The
                                  Geostatistical Output Perturbation
                                  Method . . . . . . . . . . . . . . . . . 587--588
                  Yulia Gel and   
          Adrian E. Raftery and   
           Tilmann Gneiting and   
           Veronica J. Berrocal   Rejoinder: Calibrated Probabilistic
                                  Mesoscale Weather Field Forecasting: The
                                  Geostatistical Output Perturbation
                                  Method . . . . . . . . . . . . . . . . . 588--590
            Hemant Ishwaran and   
       Eugene H. Blackstone and   
          Claire E. Pothier and   
               Michael S. Lauer   Relative Risk Forests for Exercise Heart
                                  Rate Recovery as a Predictor of
                                  Mortality  . . . . . . . . . . . . . . . 591--600
                Malay Ghosh and   
            Tapabrata Maiti and   
                  Dalho Kim and   
         Sounak Chakraborty and   
                Ashutosh Tewari   Hierarchical Bayesian Neural Networks:
                                  An Application to a Prostate Cancer
                                  Study  . . . . . . . . . . . . . . . . . 601--608
                  Ben B. Hansen   Full Matching in an Observational Study
                                  of Coaching for the SAT  . . . . . . . . 609--618
              Bradley Efron and   
              Prabir Burman and   
                   L. Denby and   
             J. M. Landwehr and   
              C. L. Mallows and   
              Xiaotong Shen and   
           Hsin-Cheng Huang and   
                Jianming Ye and   
                   Jimmy Ye and   
                 Chunming Zhang   The Estimation of Prediction Error:
                                  Covariance Penalties and
                                  Cross-Validation [with Comments,
                                  Rejoinder] . . . . . . . . . . . . . . . 619--632
                  Prabir Burman   Comment: The Estimation of Prediction
                                  Error: Covariance Penalties and
                                  Cross-Validation . . . . . . . . . . . . 632--633
                   L. Denby and   
             J. M. Landwehr and   
                  C. L. Mallows   Comment: The Estimation of Prediction
                                  Error: Covariance Penalties and
                                  Cross-Validation . . . . . . . . . . . . 633--634
              Xiaotong Shen and   
           Hsin-Cheng Huang and   
                    Jianming Ye   Comment: The Estimation of Prediction
                                  Error: Covariance Penalties and
                                  Cross-Validation . . . . . . . . . . . . 634--637
                 Chunming Zhang   Comment: The Estimation of Prediction
                                  Error: Covariance Penalties and
                                  Cross-Validation . . . . . . . . . . . . 637--640
                  Bradley Efron   Rejoinder: The Estimation of Prediction
                                  Error: Covariance Penalties and
                                  Cross-Validation . . . . . . . . . . . . 640--642
               V. Delouille and   
                 J. Simoens and   
                   R. Von Sachs   Smooth Design-Adapted Wavelets for
                                  Nonparametric Stochastic Regression  . . 643--658
            Hao Helen Zhang and   
                Grace Wahba and   
                     Yi Lin and   
               Meta Voelker and   
             Michael Ferris and   
               Ronald Klein and   
                  Barbara Klein   Variable Selection and Model Building
                                  via Likelihood Basis Pursuit . . . . . . 659--672
                  Simon N. Wood   Stable and Efficient Multiple Smoothing
                                  Parameter Estimation for Generalized
                                  Additive Models  . . . . . . . . . . . . 673--686
                  Xueli Liu and   
         Hans-Georg Müller   Functional Convex Averaging and
                                  Synchronization for Time-Warped Random
                                  Curves . . . . . . . . . . . . . . . . . 687--699
                        Lang Wu   Exact and Approximate Inferences for
                                  Nonlinear Mixed-Effects Models With
                                  Missing Covariates . . . . . . . . . . . 700--709
               Jianqing Fan and   
                       Runze Li   New Estimation and Model Selection
                                  Procedures for Semiparametric Modeling
                                  in Longitudinal Data Analysis  . . . . . 710--723
                      Yi Li and   
                    Louise Ryan   Survival Analysis With Heterogeneous
                                  Covariate Measurement Error  . . . . . . 724--735
         Raymond J. Carroll and   
              David Ruppert and   
     Ciprian M. Crainiceanu and   
            Tor D. Tosteson and   
            Margaret R. Karagas   Nonlinear and Nonparametric Regression
                                  and Instrumental Variables . . . . . . . 736--750
              Xiaotong Shen and   
           Hsin-Cheng Huang and   
                       Jimmy Ye   Inference After Model Selection  . . . . 751--762
            Hsiao-Yun Huang and   
             Hernando Ombao and   
               David S. Stoffer   Discrimination and Classification of
                                  Nonstationary Time Series Using the SLEX
                                  Model  . . . . . . . . . . . . . . . . . 763--774
              Roger Koenker and   
                    Zhijie Xiao   Unit Root Quantile Autoregression
                                  Inference  . . . . . . . . . . . . . . . 775--787
          Peter Müller and   
         Bruno Sansó and   
                 Maria De Iorio   Optimal Bayesian Design by Inhomogeneous
                                  Markov Chain Simulation  . . . . . . . . 788--798
                    John Geweke   Getting It Right: Joint Distribution
                                  Tests of Posterior Simulators  . . . . . 799--804
              Chi-Lun Cheng and   
                 Chih-Ling Tsai   The Invariance of Some Score Tests in
                                  the Linear Model With Classical
                                  Measurement Error  . . . . . . . . . . . 805--809
               Yongtao Guan and   
            Michael Sherman and   
                James A. Calvin   A Nonparametric Test for Spatial
                                  Isotropy Using Subsampling . . . . . . . 810--821
           Vern T. Farewell and   
            Brian D. M. Tom and   
                Patrick Royston   The Impact of Dichotomization on the
                                  Efficiency of Testing for an Interaction
                                  Effect in Exponential Family Models  . . 822--831
              Michal Kulich and   
                      D. Y. Lin   Improving the Efficiency of
                                  Relative-Risk Estimation in Case-Cohort
                                  Studies  . . . . . . . . . . . . . . . . 832--844
               You-Gan Wang and   
               Vincent J. Carey   Unbiased Estimating Equations From
                                  Working Correlation Models for
                                  Irregularly Timed Repeated Measures  . . 845--853
                Kosuke Imai and   
               David A. Van Dyk   Causal Inference With General Treatment
                                  Regimes: Generalizing the Propensity
                                  Score  . . . . . . . . . . . . . . . . . 854--866
      Nozer D. Singpurwalla and   
             Jane M. Booker and   
              D. V. Lindley and   
         Michael Laviolette and   
             Lotfi A. Zadeh and   
                 A. P. Dempster   Membership Functions and Probability
                                  Measures of Fuzzy Sets [with Comments,
                                  Rejoinder] . . . . . . . . . . . . . . . 867--877
                  D. V. Lindley   Comment: Membership Functions and
                                  Probability Measures of Fuzzy Sets . . . 877--879
             Michael Laviolette   Comment: Membership Functions and
                                  Probability Measures of Fuzzy Sets . . . 879--880
                 Lotfi A. Zadeh   Comment: Membership Functions and
                                  Probability Measures of Fuzzy Sets . . . 880--881
                 A. P. Dempster   Comment: Membership Functions and
                                  Probability Measures of Fuzzy Sets . . . 882--884
      Nozer D. Singpurwalla and   
                 Jane M. Booker   Rejoinder: Membership Functions and
                                  Probability Measures of Fuzzy Sets . . . 884--889
                 Paul Meier and   
          Theodore Karrison and   
              Rick Chappell and   
                        Hui Xie   The Price of Kaplan--Meier . . . . . . . 890--896
                      Anonymous   Book Reviews . . . . . . . . . . . . . . 897
              Matthew A. Bognar   Book Review: \booktitleSpatial Cluster
                                  Modeling, by Andrew B. Lawson; David G.
                                  T. Denison . . . . . . . . . . . . . . . 898--899
                 Ilenia Epifani   Book Review: \booktitleBayesian
                                  Nonparametrics, by J. K. Ghosh; R. V.
                                  Ramamoorthi  . . . . . . . . . . . . . . 898--899
             Stephen D. Kachman   Book Review: \booktitleComponents of
                                  Variance, by D. R. Cox; P. J. Solomon    899--899
                        Jun Yan   Book Review: \booktitleSurvival
                                  Analysis: Techniques for Censored and
                                  Truncated Data, second edition, by John
                                  P. Klein; Melvin L. Moeschberger . . . . 900--900
             Penelope S. Pooler   Book Review: \booktitleStatistical Tools
                                  for Environmental Quality Measurement,
                                  by Michael E. Ginevan; Douglas E.
                                  Splitstone . . . . . . . . . . . . . . . 900--901
     Christine M. Anderson-Cook   Book Review: \booktitleData Analysis and
                                  Graphics Using R: An Example-Based
                                  Approach, by John Maindonald; John Braun 901--902
     Christine M. Anderson-Cook   Book Review: \booktitleStatistical Tools
                                  for Nonlinear Regression: A Practical
                                  Guide with S-PLUS and R Examples, second
                                  edition, by S. Huet; A. Bouvier; M.-A.
                                  Poursat; E. Jolivet  . . . . . . . . . . 902--903
     Christine M. Anderson-Cook   Book Review: \booktitleHandbook of
                                  Statistics 22: Statistics in Industry,
                                  by R. Khattree; C. R. Rao  . . . . . . . 904--904
               Håvard Rue   Book Review: \booktitle$2$D Object
                                  Detection and Recognition: Models,
                                  Algorithms, and Networks, by Yali Amit   902--903
           Kenneth S. Berenhaut   Book review: \booktitleAdvanced Calculus
                                  with Applications in Statistics (second
                                  edition), by Andr\`e I. Khuri  . . . . . 903--904
                   James Surles   Book Review: \booktitleThe
                                  Stress-Strength Model and Its
                                  Generalizations: Theory and
                                  Applications, by Samuel Kotz; Yan
                                  Lumelskii; Marianna Pensky . . . . . . . 903--904
                      Anonymous   Telegraphic Reviews  . . . . . . . . . . 905--908
            Tapabrata Maiti and   
             Mario Peruggia and   
                Robert Lund and   
        Mary Kathryn Cowles and   
          Michael D. Larsen and   
       Paul A. L. Embrechts and   
     Christine M. Anderson-Cook   Book Review: \booktitleTelegraphic
                                  Reviews  . . . . . . . . . . . . . . . . 905--908
                      Anonymous   Back Matter  . . . . . . . . . . . . . . ??
                      Anonymous   Front Matter . . . . . . . . . . . . . . ??

Journal of the American Statistical Association
Volume 99, Number 468, December, 2004

                  Zhijin Wu and   
         Rafael A. Irizarry and   
           Robert Gentleman and   
 Francisco Martinez-Murillo and   
                Forrest Spencer   A Model-Based Background Adjustment for
                                  Oligonucleotide Expression Arrays  . . . 909--917
             Krista Fischer and   
                Els Goetghebeur   Structural Mean Effects of
                                  Noncompliance: Estimating Interaction
                                  With Baseline Prognosis and Selection
                                  Effects  . . . . . . . . . . . . . . . . 918--928
               Wensheng Guo and   
         Sarah J. Ratcliffe and   
             Thomas R. Ten Have   A Random Pattern-Mixture Model for
                                  Longitudinal Data With Dropouts  . . . . 929--937
         Francesca Dominici and   
           Aidan MC Dermott and   
               Trevor J. Hastie   Improved Semiparametric Time Series
                                  Models of Air Pollution and Mortality    938--948
                Ivan Mizera and   
   Christine H. Müller and   
                 Mia Hubert and   
         Peter J. Rousseeuw and   
     Karlien Vanden Branden and   
            Robert Serfling and   
                  Xuming He and   
            Stephen Portnoy and   
             David Eppstein and   
                Peter McCullagh   Location-Scale Depth [with Comments,
                                  rejoinder] . . . . . . . . . . . . . . . 949--966
                 Mia Hubert and   
         Peter J. Rousseeuw and   
         Karlien Vanden Branden   Comment: Location-Scale Depth  . . . . . 966--969
                Robert Serfling   Comment: Location-Scale Depth  . . . . . 970--973
                  Xuming He and   
                Stephen Portnoy   Comment: Location-Scale Depth  . . . . . 973--976
                 David Eppstein   Comment: Location-Scale Depth  . . . . . 976--979
                Peter McCullagh   Comment: Location-Scale Depth  . . . . . 980--981
                Ivan Mizera and   
       Christine H. Müller   Rejoinder: Location-Scale Depth  . . . . 981--989
          Peter Müller and   
        Giovanni Parmigiani and   
           Christian Robert and   
                Judith Rousseau   Optimal Sample Size for Multiple
                                  Testing: The Case of Gene Expression
                                  Microarrays  . . . . . . . . . . . . . . 990--1001
         M. Perone Pacifico and   
                C. Genovese and   
              I. Verdinelli and   
                   L. Wasserman   False Discovery Control for Random
                                  Fields . . . . . . . . . . . . . . . . . 1002--1014
                 Peter Hall and   
                Jeff Racine and   
                          Qi Li   Cross-Validation and the Estimation of
                                  Conditional Probability Densities  . . . 1015--1026
                   Zhiqiang Tan   On a Likelihood Approach for Monte Carlo
                                  Integration  . . . . . . . . . . . . . . 1027--1036
                  Yoichi Miyata   Fully Exponential Laplace Approximations
                                  Using Asymptotic Modes . . . . . . . . . 1037--1049
           Nidhan Choudhuri and   
           Subhashis Ghosal and   
                    Anindya Roy   Bayesian Estimation of the Spectral
                                  Density of a Time Series . . . . . . . . 1050--1059
               Hari K. Iyer and   
            C. M. Jack Wang and   
                  Thomas Mathew   Models and Confidence Intervals for True
                                  Values in Interlaboratory Trials . . . . 1060--1071
                    Bo Yang and   
                John E. Kolassa   Smooth and Accurate Multivariate
                                  Confidence Regions . . . . . . . . . . . 1072--1081
                Anindya Roy and   
                 Barry Falk and   
                Wayne A. Fuller   Testing for Trend in the Presence of
                                  Autoregressive Error . . . . . . . . . . 1082--1091
Mayte Suárez-Fariñas and   
         Carlos E. Pedreira and   
            Marcelo C. Medeiros   Local Global Neural Networks: a New
                                  Approach for Nonlinear Time Series
                                  Modeling . . . . . . . . . . . . . . . . 1092--1107
                 Chang Xuan Mao   Predicting the Conditional Probability
                                  of Discovering a New Class . . . . . . . 1108--1118
      Edward J. Stanek, III and   
                Julio M. Singer   Predicting Random Effects From Finite
                                  Population Clustered Samples With
                                  Response Error . . . . . . . . . . . . . 1119--1130
                Takis Merkouris   Combining Independent Regression
                                  Estimators From Multiple Surveys . . . . 1131--1139
             Thomas D. Cook and   
             Michael R. Kosorok   Analysis of Time-to-Event Data With
                                  Incomplete Event Adjudication  . . . . . 1140--1152
            Chiung-Yu Huang and   
                 Mei-Cheng Wang   Joint Modeling and Estimation for
                                  Recurrent Event Processes and Failure
                                  Time Data  . . . . . . . . . . . . . . . 1153--1165
                 Chunlei Ke and   
                   Yuedong Wang   Smoothing Spline Nonlinear Nonparametric
                                  Regression Models  . . . . . . . . . . . 1166--1175
                   Hua Yun Chen   Nonparametric and Semiparametric Models
                                  for Missing Covariates in Parametric
                                  Regression . . . . . . . . . . . . . . . 1176--1189
Jesús López-Fidalgo and   
Sandra A. Garcet-Rodríguez   Optimal Experimental Designs When Some
                                  Independent Variables Are Not Subject to
                                  Control  . . . . . . . . . . . . . . . . 1190--1199
               George Woodworth   Book Review: \booktitleBayesian
                                  Reasoning in Data Analysis: A Critical
                                  Introduction, by Giulio D'Agostini . . . 1201--1202
              David A. Stephens   Book Review: \booktitleBayesian Field
                                  Theory, by Jörg C. Lemm . . . . . . . . . 1202--1202
                        Jun Yan   Book Review: \booktitleBayesian Survival
                                  Analysis, by Joseph G. Ibrahim; Ming-Hui
                                  Chen; Debajyoti Sinha  . . . . . . . . . 1202--1203
                  Max D. Morris   Book Review: \booktitleThe Design and
                                  Analysis of Computer Experiments, by
                                  Thomas J. Santner; Brian J. Williams;
                                  William I. Notz  . . . . . . . . . . . . 1203--1204
                     Jesse Frey   Book Review: \booktitleIntroduction to
                                  Stochastic Search and Optimization:
                                  Estimation, Simulation, and Control, by
                                  James C. Spall . . . . . . . . . . . . . 1204--1205
              Christof Schuster   Book Review: \booktitleMeasures of
                                  Interobserver Agreement, by Mohamed M.
                                  Shoukri  . . . . . . . . . . . . . . . . 1204--1205
     Christine M. Anderson-Cook   Book Review: \booktitleStatistical
                                  Methods for Six Sigma in R&D and
                                  Manufacturing, by Anand M. Joglekar  . . 1205--1206
                   Jan Beirlant   Book Review: \booktitleStatistical Size
                                  Distributions in Economics and Actuarial
                                  Sciences, by Christian Kleiber; Samuel
                                  Kotz . . . . . . . . . . . . . . . . . . 1206--1207
               Russell V. Lenth   Book Review: \booktitlePower Analysis
                                  for Experimental Research: A Practical
                                  Guide for the Biological, Medical and
                                  Social Sciences, by R. Barker Bausell;
                                  Yu-Fang Lid; \booktitleStatistical Power
                                  Analysis: A Simple and General Model for
                                  Traditional and Modern Hypothesis Tests
                                  (second edition), by Kevin R. Murphy;
                                  Brett Myors  . . . . . . . . . . . . . . 1206--1207
                     X. Joan Hu   Book Review: \booktitleApplied
                                  Longitudinal Data Analysis for
                                  Epidemiology: A Practical Guide, by Jos
                                  W. R. Twisk  . . . . . . . . . . . . . . 1207--1208
                Jane C. Lindsey   Book Review: \booktitleHealth Science
                                  Research: A Handbook of Quantitative
                                  Methods, by Jennifer Peat  . . . . . . . 1208--1208
                Julie A. Stoner   Book Review: \booktitleCross-Over Trials
                                  in Clinical Research (second edition),
                                  by Stephen Senn  . . . . . . . . . . . . 1208--1208
 Christine M. Anderson-Cook and   
           Russell V. Lenth and   
           Murray Jorgensen and   
             Robert B. Lund and   
            Jane C. Lindsey and   
                            RVL   Book Review: \booktitleTelegraphic
                                  Reviews  . . . . . . . . . . . . . . . . 1209--1210
                      Anonymous   Telegraphic Reviews  . . . . . . . . . . 1209--1210
                      Anonymous   Back Matter  . . . . . . . . . . . . . . ??
                      Anonymous   Front Matter . . . . . . . . . . . . . . ??
                      Anonymous   Volume Information . . . . . . . . . . . ??


Journal of the American Statistical Association
Volume 100, Number 469, March, 2005

                  Bradley Efron   Bayesians, Frequentists, and Scientists  1--5
           Sean D. Campbell and   
             Francis X. Diebold   Weather Forecasting for Weather
                                  Derivatives  . . . . . . . . . . . . . . 6--16
        Jason R. W. Merrick and   
                Refik Soyer and   
             Thomas A. Mazzuchi   Are Maintenance Practices for Railroad
                                  Tracks Effective?  . . . . . . . . . . . 17--25
              Roger D. Peng and   
   Frederic Paik Schoenberg and   
                 James A. Woods   A Space--time Conditional Intensity
                                  Model for Evaluating a Wildfire Hazard
                                  Index  . . . . . . . . . . . . . . . . . 26--35
             Lawrence Brown and   
                  Noah Gans and   
         Avishai Mandelbaum and   
                 Anat Sakov and   
               Haipeng Shen and   
              Sergey Zeltyn and   
                     Linda Zhao   Statistical Analysis of a Telephone Call
                                  Center: a Queueing-Science Perspective   36--50
                    Xi Zhou and   
      Edwin S. Iversen, Jr. and   
            Giovanni Parmigiani   Classification of Missense Mutations of
                                  Disease Genes  . . . . . . . . . . . . . 51--60
        Douglas N. Midthune and   
             Michael P. Fay and   
             Limin X. Clegg and   
                  Eric J. Feuer   Modeling Reporting Delays and Reporting
                                  Corrections in Cancer Registry Data  . . 61--70
             Yoav Benjamini and   
           Daniel Yekutieli and   
                Don Edwards and   
      Juliet Popper Shaffer and   
            Ajit C. Tamhane and   
          Peter H. Westfall and   
                   Burt Holland   False Discovery Rate: Adjusted Multiple
                                  Confidence Intervals for Selected
                                  Parameters [with Comments, Rejoinder]    71--81
                    Don Edwards   Comment: False Discovery Rate-Adjusted
                                  Multiple Confidence Intervals for
                                  Selected Parameters  . . . . . . . . . . 81--82
          Juliet Popper Shaffer   Comment: False Discovery Rate-Adjusted
                                  Multiple Confidence Intervals for
                                  Selected Parameters  . . . . . . . . . . 82--84
                Ajit C. Tamhane   Comment: False Discovery Rate-Adjusted
                                  Multiple Confidence Intervals for
                                  Selected Parameters  . . . . . . . . . . 84--85
              Peter H. Westfall   Comment: False Discovery Rate-Adjusted
                                  Multiple Confidence Intervals for
                                  Selected Parameters  . . . . . . . . . . 85--89
                   Burt Holland   Comment: False Discovery Rate-Adjusted
                                  Multiple Confidence Intervals for
                                  Selected Parameters  . . . . . . . . . . 89--90
             Yoav Benjamini and   
               Daniel Yekutieli   Rejoinder: False Discovery Rate-Adjusted
                                  Multiple Confidence Intervals for
                                  Selected Parameters  . . . . . . . . . . 90--93
           Joseph P. Romano and   
                   Michael Wolf   Exact and Approximate Stepdown Methods
                                  for Multiple Hypothesis Testing  . . . . 94--108
                 Yuguo Chen and   
             Persi Diaconis and   
            Susan P. Holmes and   
                     Jun S. Liu   Sequential Monte Carlo Methods for
                                  Statistical Analysis of Tables . . . . . 109--120
                 Joseph B. Lang   Homogeneous Linear Predictor Models for
                                  Contingency Tables . . . . . . . . . . . 121--134
         Daniel Peña and   
          Ismael Sánchez   Multifold Predictive Validation in ARMAX
                                  Time Series Models . . . . . . . . . . . 135--146
               Naisyin Wang and   
         Raymond J. Carroll and   
                     Xihong Lin   Efficient Semiparametric Marginal
                                  Estimation for Longitudinal/Clustered
                                  Data . . . . . . . . . . . . . . . . . . 147--157
             Xiang-Yang Lou and   
             George Casella and   
          Rory J. Todhunter and   
            Mark C. K. Yang and   
                    Rongling Wu   A General Statistical Framework for
                                  Unifying Interval and Linkage
                                  Disequilibrium Mapping: Toward
                                  High-Resolution Mapping of Quantitative
                                  Traits . . . . . . . . . . . . . . . . . 158--171
                    Lu Tian and   
               David Zucker and   
                      L. J. Wei   On the Cox Model With Time-Varying
                                  Regression Coefficients  . . . . . . . . 172--183
                    Jun Yan and   
                  Jason P. Fine   Functional Association Models for
                                  Multivariate Survival Processes  . . . . 184--196
             Tatsuki Koyama and   
           Allan R. Sampson and   
                 Leon J. Gleser   A Calculus for Design of Two-Stage
                                  Adaptive Procedures  . . . . . . . . . . 197--203
             Prasad A. Naik and   
                 Chih-Ling Tsai   Constrained Inverse Regression for
                                  Incorporating Prior Information  . . . . 204--211
              Songnian Chen and   
             Gordon B. Dahl and   
                   Shakeeb Khan   Nonparametric Identification and
                                  Estimation of a Censored Location-Scale
                                  Regression Model . . . . . . . . . . . . 212--221
                  P. Lahiri and   
              Michael D. Larsen   Regression Analysis With Linked Data . . 222--230
                Ian W. McKeague   A Statistical Model for Signature
                                  Verification . . . . . . . . . . . . . . 231--241
               Deborah Burr and   
                      Hani Doss   A Bayesian Semiparametric Model for
                                  Random-Effects Meta-Analysis . . . . . . 242--251
            Hammou El Barmi and   
                  Hari Mukerjee   Inferences Under a Stochastic Ordering
                                  Constraint: The $k$-Sample Case  . . . . 252--261
               Paul H. Kvam and   
           Edsel A. Peña   Estimating Load-Sharing Properties in a
                                  Dynamic Reliability System . . . . . . . 262--272
                 Jin-Ting Zhang   Approximate and Asymptotic Distributions
                                  of Chi-Squared-Type Mixtures With
                                  Applications . . . . . . . . . . . . . . 273--285
                  Peter D. Hoff   Bilinear Mixed-Effects Models for Dyadic
                                  Data . . . . . . . . . . . . . . . . . . 286--295
           Vanja M. Duki\'c and   
           Edsel A. Peña   Variance Estimation in a Model With
                                  Gaussian Submodels . . . . . . . . . . . 296--309
               Michael L. Stein   Space: Time Covariance Functions . . . . 310--321
                Donald B. Rubin   Causal Inference Using Potential
                                  Outcomes: Design, Modeling, Decisions    322--331
          Joseph G. Ibrahim and   
              Ming-Hui Chen and   
          Stuart R. Lipsitz and   
                 Amy H. Herring   Missing-Data Methods for Generalized
                                  Linear Models: a Comparative Review  . . 332--346
                     Jay Breidt   Book Review: \booktitleNonlinear Time
                                  Series: Nonparametric and Parametric
                                  Methods, by Jianqing Fan; Qiwei Yao  . . 348--349
              Charles M. Goldie   Book Review: \booktitleDistribution
                                  Theory of Runs and Patterns and Its
                                  Applications: A Finite Markov Chain
                                  Imbedding Approach, by James C. Fu; W.
                                  Y. Lou . . . . . . . . . . . . . . . . . 349--350
         Frederic P. Schoenberg   Book Review: \booktitleStatistical
                                  inference and Simulation for Spatial
                                  Point Processes, by Jesper Mòller; Rasmus
                                  P. Waagepetersen . . . . . . . . . . . . 349--350
                  Sarah M. Ryan   Book review: \booktitleStochastic Models
                                  in Queueing Theory (second edition), by
                                  J. Medhi . . . . . . . . . . . . . . . . 350--351
               Karla V. Ballman   Book Review: \booktitleDiscrete Choice
                                  Methods with Simulations, by Kenneth E.
                                  Train  . . . . . . . . . . . . . . . . . 351--352
                Antonietta Mira   Book Review: \booktitleHighly Structured
                                  Stochastic Systems, by Peter J. Green;
                                  Nils Lid Hjort; Sylvia Richardson  . . . 351--352
            Carolyn J. Anderson   Book Review: \booktitleApplied
                                  Longitudinal Data Analysis: Modeling
                                  Change and Event Occurrence, by Judith
                                  D. Singer; John B. Willett . . . . . . . 352--353
                 Risto Lehtonen   Book Review: \booktitleMultilevel
                                  Statistical Models, third edition, by
                                  Harvey Goldstein . . . . . . . . . . . . 353--354
                  Lynne Seymour   Book Review: \booktitleSpatial Data
                                  Analysis: Theory and Practice, by Robert
                                  Haining  . . . . . . . . . . . . . . . . 353--353
                        Jun Yan   Book Review: \booktitleAnalysis of
                                  Multivariate Survival Data, by Phillip
                                  Hougaard . . . . . . . . . . . . . . . . 354--355
              Peter Müller   Book Review: \booktitleApplied Bayesian
                                  Modelling, by Peter Congdon  . . . . . . 355--356
                Thomas H. Short   Book Review: \booktitleSubjective and
                                  Objective Bayesian Statistics:
                                  Principles, Models, and Applications, by
                                  S. James . . . . . . . . . . . . . . . . 355--356
                     Imbi Traat   Book Review: \booktitleSample Survey
                                  Theory: Some Pythagorean Perspectives,
                                  by Paul Knottnerus . . . . . . . . . . . 356--356
            Tapabrata Maiti and   
     Carolyn Pillers Dobler and   
 Christine M. Anderson-Cook and   
               Russell V. Lenth   Book Review: \booktitleTelegraphic
                                  Reviews  . . . . . . . . . . . . . . . . 357--357
                      Anonymous   Telegraphic Reviews  . . . . . . . . . . 357
                      Anonymous   Back Matter  . . . . . . . . . . . . . . ??
                      Anonymous   Front Matter . . . . . . . . . . . . . . ??

Journal of the American Statistical Association
Volume 100, Number 470, June, 2005

            Steven L. Scott and   
            Gareth M. James and   
             Catherine A. Sugar   Hidden Markov Models for Longitudinal
                                  Comparisons  . . . . . . . . . . . . . . 359--369
        C. Paddy Farrington and   
            Heather J. Whitaker   Contact Surface Models for Infectious
                                  Diseases: Estimation From Serologic
                                  Survey Data  . . . . . . . . . . . . . . 370--379
         Michael R. Elliott and   
          Roderick J. A. Little   A Bayesian Approach to 2000 Census
                                  Evaluation Using ACE Survey Data and
                                  Demographic Analysis . . . . . . . . . . 380--388
          Robert M. Dorazio and   
                J. Andrew Royle   Estimating Size and Composition of
                                  Biological Communities by Modeling the
                                  Occurrence of Species  . . . . . . . . . 389--398
      Edwin S. Iversen, Jr. and   
                    Sining Chen   Population-Calibrated Gene
                                  Characterization: Estimating Age at
                                  Onset Distributions Associated With
                                  Cancer Genes . . . . . . . . . . . . . . 399--409
             R. Dennis Cook and   
                     Liqiang Ni   Sufficient Dimension Reduction via
                                  Inverse Regression: a Minimum
                                  Discrepancy Approach . . . . . . . . . . 410--428
          Alexander Samarov and   
          Vladimir Spokoiny and   
                    Celine Vial   Component Identification and Estimation
                                  in Nonlinear High-Dimensional Regression
                                  Models by Structural Adaptation  . . . . 429--445
                  P. Y. Lai and   
              Stephen M. S. Lee   An Overview of Asymptotic Properties of
                                  $L_p$ Regression Under General Classes
                                  of Error Distributions . . . . . . . . . 446--458
             Mark A. Weaver and   
                     Haibo Zhou   An Estimated Likelihood Method for
                                  Continuous Outcome Regression Models
                                  With Outcome-Dependent Sampling  . . . . 459--469
               Donglin Zeng and   
                  D. Y. Lin and   
                   Guosheng Yin   Maximum Likelihood Estimation for the
                                  Proportional Odds Model With Random
                                  Effects  . . . . . . . . . . . . . . . . 470--483
            Emily C. Martin and   
            Rebecca A. Betensky   Testing Quasi-Independence of Failure
                                  and Truncation Times via Conditional
                                  Kendall's Tau  . . . . . . . . . . . . . 484--492
                   Qing Liu and   
              Gordon W. Pledger   Phase 2 and 3 Combination Designs to
                                  Accelerate Drug Development  . . . . . . 493--502
               Holger Dette and   
           Natalie Neumeyer and   
                    Kay F. Pilz   A Note on Nonparametric Estimation of
                                  the Effective Dose in Quantal Bioassay   503--510
              Paul R. Rosenbaum   Exact, Nonparametric Inference When
                                  Doses Are Measured With Random Errors    511--518
             Hernando Ombao and   
           Rainer von Sachs and   
                   Wensheng Guo   SLEX Analysis of Multivariate
                                  Nonstationary Time Series  . . . . . . . 519--531
           Christian Francq and   
                   Roch Roy and   
         Jean-Michel Zako\"\ian   Diagnostic Checking in ARMA Models With
                                  Uncorrelated Errors  . . . . . . . . . . 532--544
     Efstathios Paparoditis and   
            Dimitris N. Politis   Bootstrapping Unit Root Tests for
                                  Autoregressive Time Series . . . . . . . 545--553
            Michael K. Pitt and   
              Stephen G. Walker   Constructing Stationary Time Series
                                  Models Using Auxiliary Variables With
                                  Applications . . . . . . . . . . . . . . 554--564
            Gareth M. James and   
           Bernard W. Silverman   Functional Adaptive Model Estimation . . 565--576
                   Fang Yao and   
     Hans-Georg Müller and   
                 Jane-Ling Wang   Functional Data Analysis for Sparse
                                  Longitudinal Data  . . . . . . . . . . . 577--590
              Samiran Sinha and   
          Bhramar Mukherjee and   
                Malay Ghosh and   
            Bani K. Mallick and   
             Raymond J. Carroll   Semiparametric Bayesian Analysis of
                                  Matched Case-Control Studies With
                                  Missing Exposure . . . . . . . . . . . . 591--601
          Mahlet G. Tadesse and   
                 Naijun Sha and   
                Marina Vannucci   Bayesian Variable Selection in
                                  Clustering High-Dimensional Data . . . . 602--617
                David B. Dunson   Bayesian Semiparametric Isotonic
                                  Regression for Count Data  . . . . . . . 618--627
            Loriano Mancini and   
          Elvezio Ronchetti and   
                  Fabio Trojani   Optimal Conditionally Unbiased
                                  Bounded-Influence Inference in Dynamic
                                  Location and Scale Models  . . . . . . . 628--641
                  C. H. Sim and   
                  F. F. Gan and   
                    T. C. Chang   Outlier Labeling With Boxplot Procedures 642--652
            Hyoung-Moon Kim and   
            Bani K. Mallick and   
                   C. C. Holmes   Analyzing Nonstationary Spatial Data
                                  Using Piecewise Gaussian Processes . . . 653--668
                 Shuyuan He and   
              Grace L. Yang and   
               Kai Tai Fang and   
                John F. Widmann   Estimation of Poisson Intensity in the
                                  Presence of Dead Time  . . . . . . . . . 669--679
         Paul H. Garthwaite and   
           Joseph B. Kadane and   
                Anthony O'Hagan   Statistical Methods for Eliciting
                                  Probability Distributions  . . . . . . . 680--700
                   Peter Diggle   Book Review: \booktitleApplied Spatial
                                  Statistics for Public Health Data, by
                                  Lance A. Waller; Carol A. Gotway . . . . 702--703
                 David L. Banks   Book Review: \booktitleFoundations of
                                  Risk Analysis: A Knowledge and
                                  Decision-Oriented Perspective, by Terje
                                  Aven . . . . . . . . . . . . . . . . . . 703--704
              Peter C. Kiessler   Book Review: \booktitleComparison
                                  Methods for Stochastic Models and Risks,
                                  by Alfred Müller; Dietrich Stoyan . . . . 704--704
                  Erinn M. Hade   Book Review: \booktitleQuantitative
                                  Methods in Population Health: Extensions
                                  of Ordinary Regression, by Mari Palta    704--705
                     Peihua Qiu   Book Review: \booktitleThe Statistical
                                  Evaluation of Medical Tests for
                                  Classification and Prediction, by
                                  Margaret Sullivan Pepe . . . . . . . . . 705--705
              Giovanni Baiocchi   Book Review: \booktitleComputational
                                  Methods in Statistics and Econometrics,
                                  by Hisashi Tanizaki  . . . . . . . . . . 705--707
                   T. Van Zandt   Book Review: \booktitleNumerical Issues
                                  in Statistical Computing for the Social
                                  Scientist, by Micah Altman; Jeff Gill;
                                  Michael P. McDonald  . . . . . . . . . . 707--708
     Christine M. Anderson-Cook   Book Review: \booktitleExperimental and
                                  Quasi-Experimental Designs for
                                  Generalized Causal Inference, by William
                                  R. Shadish; Thomas D. Cook; Donald T.
                                  Campbell . . . . . . . . . . . . . . . . 708--708
     Christine M. Anderson-Cook   Book review: \booktitlePlanning,
                                  Construction, and Statistical Analysis
                                  of Comparative Experiments. Francis G.
                                  Giesbrecht and Marcia L. Gumpertz  . . . 708--709
     Christine M. Anderson-Cook   Book Review: \booktitlePlanning,
                                  Construction, and Statistical Analysis
                                  of Comparative Experiments, by Francis
                                  G. Giesbrecht; Marcia L. Gumpertz  . . . 708--709
              Geert Molenberghs   Book Review: \booktitleApplied
                                  Longitudinal Analysis, by Garrett M.
                                  Fitzmaurice; Nan M. Laird; James H. Ware 709--710
                  Luisa Corrado   Book Review: \booktitleGeneralized
                                  Latent Variable Modeling: Multilevel,
                                  Longitudinal, and Structural Equation
                                  Models, by Anders Skrondal; Sophia
                                  Rabe-Hesketh . . . . . . . . . . . . . . 710--711
               Robert Gentleman   Book Review: \booktitleMicroarray
                                  Quality Control, by Wei Zhang; Ilya
                                  Shmulevich; Jaakko Astola  . . . . . . . 711--711
               Robert Gentleman   Book Review: \booktitleDesign and
                                  Analysis of DNA Microarray
                                  Investigations, by Richard M. Simon;
                                  Edward L. Korn; Lisa M. McShane; Michael
                                  D. Radmacher; George W. Wright; Yingdong
                                  Zhao . . . . . . . . . . . . . . . . . . 711--712
               Vincent J. Carey   Book Review: \booktitleMathematical and
                                  Statistical Methods for Genetic Analysis
                                  (second edition), by Kenneth Lange . . . 712--712
               Vincent J. Carey   Book Review: \booktitleResampling
                                  Methods for Dependent Data, by S. N.
                                  Lahiri . . . . . . . . . . . . . . . . . 712--713
               Russell V. Lenth   Book Review: \booktitleRecurrent Events
                                  Data Analysis for Product Repairs,
                                  Disease Recurrences, and Other
                                  Applications, by Wayne B. Nelson . . . . 713--713
                      Anonymous   Telegraphic Reviews  . . . . . . . . . . 713--715
            Tapabrata Maiti and   
          Richard J. Cleary and   
               Russell V. Lenth   Book Review: \booktitleTelegraphic
                                  Reviews  . . . . . . . . . . . . . . . . 713--715
                      Anonymous   Correction . . . . . . . . . . . . . . . 716--718
                      Anonymous   Correction: Nonparametric Hypothesis
                                  Testing for a Spatial Signal . . . . . . 716--718
                      Anonymous   Back Matter  . . . . . . . . . . . . . . ??
                      Anonymous   Front Matter . . . . . . . . . . . . . . ??

Journal of the American Statistical Association
Volume 100, Number 471, September, 2005

                Dabao Zhang and   
            Martin T. Wells and   
          Bruce W. Turnbull and   
              David Sparrow and   
            Patricia A. Cassano   Hierarchical Graphical Models: An
                                  Application to Pulmonary Function and
                                  Cholesterol Levels in the Normative
                                  Aging Study  . . . . . . . . . . . . . . 719--727
                Shibao Feng and   
            Robert A. Wolfe and   
              Friedrich K. Port   Frailty Survival Model Analysis of the
                                  National Deceased Donor Kidney
                                  Transplant Dataset Using Poisson
                                  Variance Structures  . . . . . . . . . . 728--735
         Subal C. Kumbhakar and   
           Efthymios G. Tsionas   The Joint Measurement of Technical and
                                  Allocative Inefficiencies: An
                                  Application of Bayesian Inference in
                                  Nonlinear Random-Effects Models  . . . . 736--747
                     Ta-Hsin Li   A Hierarchical Framework for Modeling
                                  and Forecasting Web Server Workload  . . 748--763
            Hemant Ishwaran and   
                   J. Sunil Rao   Spike and Slab Gene Selection for
                                  Multigroup Microarray Data . . . . . . . 764--780
               Jianqing Fan and   
                  Heng Peng and   
                  Tao Huang and   
             Chiara Sabatti and   
             Bruce A. Craig and   
                 Jian Huang and   
              Cun-Hui Zhang and   
               Heping Zhang and   
         Michael R. Kosorok and   
                Shuangge Ma and   
          Robert Tibshirani and   
                         Yi Ren   Semilinear High-Dimensional Model for
                                  Normalization of Microarray Data: a
                                  Theoretical Analysis and Partial
                                  Consistency [with Comments, Rejoinder]   781--796
                 Chiara Sabatti   Comment: Semilinear High-Dimensional
                                  Model for Normalization of Microarray
                                  Data . . . . . . . . . . . . . . . . . . 796--798
                 Bruce A. Craig   Comment: Semilinear High-Dimensional
                                  Model for Normalization of Microarray
                                  Data . . . . . . . . . . . . . . . . . . 799--800
                 Jian Huang and   
                  Cun-Hui Zhang   Comment: Semilinear High-Dimensional
                                  Model for Normalization of Microarray
                                  Data . . . . . . . . . . . . . . . . . . 800--804
                   Heping Zhang   Comment: Semilinear High-Dimensional
                                  Model for Normalization of Microarray
                                  Data . . . . . . . . . . . . . . . . . . 804--804
         Michael R. Kosorok and   
                    Shuangge Ma   Comment: Semilinear High-Dimensional
                                  Model for Normalization of Microarray
                                  Data . . . . . . . . . . . . . . . . . . 805--807
              Robert Tibshirani   Comment: Semilinear High-Dimensional
                                  Model for Normalization of Microarray
                                  Data . . . . . . . . . . . . . . . . . . 807--808
               Jianqing Fan and   
                  Heng Peng and   
                  Tao Huang and   
                         Yi Ren   Rejoinder: Semilinear High-Dimensional
                                  Model for Normalization of Microarray
                                  Data . . . . . . . . . . . . . . . . . . 808--813
                 Jian Huang and   
                  Deli Wang and   
                  Cun-Hui Zhang   A Two-Way Semilinear Model for
                                  Normalization and Analysis of cDNA
                                  Microarray Data  . . . . . . . . . . . . 814--829
                Mario Forni and   
                Marc Hallin and   
                Marco Lippi and   
              Lucrezia Reichlin   The Generalized Dynamic Factor Model:
                                  One-Sided Estimation and Forecasting . . 830--840
          John Staudenmayer and   
            John P. Buonaccorsi   Measurement Error in Linear
                                  Autoregressive Models  . . . . . . . . . 841--852
           Clifford Hurvich and   
               Gabriel Lang and   
               Philippe Soulier   Estimation of Long Memory in the
                                  Presence of a Smooth Nonparametric Trend 853--871
              Joel A. Dubin and   
         Hans-Georg Müller   Dynamical Correlation for Multivariate
                                  Longitudinal Data  . . . . . . . . . . . 872--881
                Jianguo Sun and   
               Do-Hwan Park and   
                Liuquan Sun and   
                   Xingqiu Zhao   Semiparametric Regression Analysis of
                                  Longitudinal Data With Informative
                                  Observation Times  . . . . . . . . . . . 882--889
               Jianqing Fan and   
                Jiancheng Jiang   Nonparametric Inferences for Additive
                                  Models . . . . . . . . . . . . . . . . . 890--907
              Somnath Datta and   
                 Glen A. Satten   Rank-Sum Tests for Clustered Data  . . . 908--915
              Sara Taskinen and   
                  Hannu Oja and   
              Ronald H. Randles   Multivariate Nonparametric Tests of
                                  Independence . . . . . . . . . . . . . . 916--925
                    Xin Gao and   
                     Mayer Alvo   A Unified Nonparametric Approach for
                                  Unbalanced Factorial Designs . . . . . . 926--941
            Ji-Ping Z. Wang and   
               Bruce G. Lindsay   A Penalized Nonparametric Maximum
                                  Likelihood Approach to Species Richness
                                  Estimation . . . . . . . . . . . . . . . 942--959
               Bee Leng Lee and   
         Michael R. Kosorok and   
                  Jason P. Fine   The Profile Sampler  . . . . . . . . . . 960--969
Sílvia Gonçalves and   
                  Halbert White   Bootstrap Standard Error Estimates for
                                  Linear Regression  . . . . . . . . . . . 970--979
                 Yanyuan Ma and   
             Marc G. Genton and   
          Anastasios A. Tsiatis   Locally Efficient Semiparametric
                                  Estimators for Generalized
                                  Skew-Elliptical Distributions  . . . . . 980--989
            Nicoleta Serban and   
                Larry Wasserman   CATS . . . . . . . . . . . . . . . . . . 990--999
            Nicoleta Serban and   
                Larry Wasserman   CATS: Clustering after Transformation
                                  and Smoothing  . . . . . . . . . . . . . 990--999
               Donglin Zeng and   
               Guosheng Yin and   
              Joseph G. Ibrahim   Inference for a Class of Transformed
                                  Hazards Models . . . . . . . . . . . . . 1000--1008
     Albert Maydeu-Olivares and   
                      Harry Joe   Limited- and Full-Information Estimation
                                  and Goodness-of-Fit Testing in $2^n$
                                  Contingency Tables: a Unified Framework  1009--1020
            Alan E. Gelfand and   
          Athanasios Kottas and   
           Steven N. MacEachern   Bayesian Nonparametric Spatial Modeling
                                  With Dirichlet Process Mixing  . . . . . 1021--1035
Luis Angel García-Escudero and   
              Alfonso Gordaliza   Generalized Radius Processes for
                                  Elliptically Contoured Distributions . . 1036--1045
                 Halina Frydman   Estimation in the Mixture of Markov
                                  Chains Moving With Different Speeds  . . 1046--1053
              Chen-Pin Wang and   
         C. Hendricks Brown and   
            Karen Bandeen-Roche   Residual Diagnostics for Growth Mixture
                                  Models: Examining the Impact of a
                                  Preventive Intervention on Multiple
                                  Trajectories of Aggressive Behavior  . . 1054--1076
                Scott A. Sisson   Transdimensional Markov Chains: a Decade
                                  of Progress and Future Perspectives  . . 1077--1089
                      Anonymous   Book Reviews . . . . . . . . . . . . . . 1090--1090
             Colin M. Gallagher   Book Review: \booktitleDiagnostic Checks
                                  in Time Series, by Wai Keung Li  . . . . 1091--1092
              Richard R. Picard   Book Review: \booktitleIntroduction to
                                  Rare Event Simulation, by James Antonio
                                  Bucklew  . . . . . . . . . . . . . . . . 1091--1091
                   J. P. Morgan   Book Review: \booktitleAssociation
                                  Schemes: Designed Experiments, Algebra
                                  and Combinatorics, by Rosemary Bailey    1092--1093
                    Omer Ozturk   Book Review: \booktitleRanked Set
                                  Sampling: Theory and Applications, by
                                  Zehua Chen; Zhidong Bai; Bimal K. Sinha  1093--1094
              Johanna Neslehova   Book Review: \booktitleWeibull Models,
                                  by Prabhakar D. N. Murthy; Min Xie;
                                  Renyan Jiang . . . . . . . . . . . . . . 1094--1094
                 Philip F. Rust   Book Review: \booktitleStatistical
                                  Methods of Analysis, by Chin Long Chiang 1094--1095
             Charles R. Hadlock   Book Review: \booktitleCausality:
                                  Models, Reasoning, and Inference, by
                                  Judea Pearl  . . . . . . . . . . . . . . 1095--1096
                Marco F. Ramoni   Book Review: \booktitleBayesian
                                  Artificial Intelligence, by Keven B.
                                  Korb; Ann E. Nicholson . . . . . . . . . 1096--1097
              Hans-Jakob Luethi   Book Review: \booktitleConvex
                                  Optimization, by Stephen Boyd; Lieven
                                  Vandenberghe . . . . . . . . . . . . . . 1097--1097
                 F. James Rohlf   Book Review: \booktitleProcrustes
                                  Problems, by John C. Gower; Garmt B.
                                  Dijksterhuis . . . . . . . . . . . . . . 1097--1097
                      Ralf Korn   Book Review: \booktitleAn Introduction
                                  to Financial Option Valuation:
                                  Mathematics, Stochastics and
                                  Computation, by Desmond J. Higham  . . . 1098--1098
              Ana-Maria Matache   Book Review: \booktitleC++ Design
                                  Patterns and Derivatives Pricing, by
                                  Mark Joshi . . . . . . . . . . . . . . . 1098--1098
              Elvezio Ronchetti   Book Review: \booktitleFinite-Sample
                                  Econometrics: Advanced Texts in
                                  Econometrics, by Aman Ullah  . . . . . . 1098--1099
     Christine M. Anderson-Cook   Book Review: \booktitlePractical Genetic
                                  Algorithms, by Randy L. Haupt; Sue Ellen
                                  Haupt  . . . . . . . . . . . . . . . . . 1099--1099
 Christine M. Anderson-Cook and   
                 Paul Embrechts   Book Review: \booktitleTelegraphic
                                  Reviews  . . . . . . . . . . . . . . . . 1099--1100
                      Anonymous   Correction . . . . . . . . . . . . . . . 1101--1101
                      Anonymous   Correction: Fully Exponential Laplace
                                  Approximations Using Asymptotic Modes    1101--1101
                      Anonymous   Back Matter  . . . . . . . . . . . . . . ??
                      Anonymous   Front Matter . . . . . . . . . . . . . . ??

Journal of the American Statistical Association
Volume 100, Number 472, December, 2005

               Jerome P. Reiter   Estimating Risks of Identification
                                  Disclosure in Microdata  . . . . . . . . 1103--1112
Jose Manuel Pavía-Miralles   Forecasts from Nonrandom Samples: The
                                  Election Night Case  . . . . . . . . . . 1113--1122
             Recai M. Yucel and   
              Alan M. Zaslavsky   Imputation of Binary Treatment Variables
                                  With Measurement Error in Administrative
                                  Data . . . . . . . . . . . . . . . . . . 1123--1132
                      Ke Xu and   
       Christopher K. Wikle and   
                    Neil I. Fox   A Kernel-Based Spatio-Temporal Dynamical
                                  Model for Nowcasting Weather Radar
                                  Reflectivities . . . . . . . . . . . . . 1133--1144
           Peter X.-K. Song and   
                 Yanqin Fan and   
        John D. Kalbfleisch and   
               Jiming Jiang and   
            Thomas A. Louis and   
                 J. G. Liao and   
           Bahjat F. Qaqish and   
                  David Ruppert   Maximization by Parts in Likelihood
                                  Inference [With Comments, Rejoinder] . . 1145--1158
                   Jiming Jiang   Comment: Maximization by Parts in
                                  Likelihood Inference . . . . . . . . . . 1158--1159
                Thomas A. Louis   Comment: Maximization by Parts in
                                  Likelihood Inference . . . . . . . . . . 1159--1160
                 J. G. Liao and   
               Bahjat F. Qaqish   Comment: Maximization by Parts in
                                  Likelihood Inference . . . . . . . . . . 1160--1161
                  David Ruppert   Comment: Maximization by Parts in
                                  Likelihood Inference . . . . . . . . . . 1161--1163
           Peter X.-K. Song and   
                 Yanqin Fan and   
            John D. Kalbfleisch   Rejoinder: Maximization by Parts in
                                  Likelihood Inference . . . . . . . . . . 1164--1167
             Yannis G. Yatracos   Artificially Augmented Samples,
                                  Shrinkage, and Mean Squared Error
                                  Reduction  . . . . . . . . . . . . . . . 1168--1175
                  Xuming He and   
               Wing K. Fung and   
                    Zhongyi Zhu   Robust Estimation in Generalized Partial
                                  Linear Models for Clustered Data . . . . 1176--1184
                 Sam Efromovich   Univariate Nonparametric Regression in
                                  the Presence of Auxiliary Covariates . . 1185--1201
                 Zheng Yuan and   
                    Yuhong Yang   Combining Linear Regression Models: When
                                  and How? . . . . . . . . . . . . . . . . 1202--1214
                  Ming Yuan and   
                         Yi Lin   Efficient Empirical Bayes Variable
                                  Selection and Estimation in Linear
                                  Models . . . . . . . . . . . . . . . . . 1215--1225
  José A. F. Machado and   
          J. M. C. Santos Silva   Quantiles for Counts . . . . . . . . . . 1226--1237
           Joel L. Horowitz and   
                     Sokbae Lee   Nonparametric Estimation of an Additive
                                  Quantile Regression Model  . . . . . . . 1238--1249
                  Lihong Qi and   
                 C. Y. Wang and   
               Ross L. Prentice   Weighted Estimators for Proportional
                                  Hazards Regression With Missing
                                  Covariates . . . . . . . . . . . . . . . 1250--1263
                David M. Zucker   A Pseudo--Partial Likelihood Method for
                                  Semiparametric Survival Regression With
                                  Covariate Errors . . . . . . . . . . . . 1264--1277
              Antonio Lijoi and   
      Ramsés H. Mena and   
             Igor Prünster   Hierarchical Mixture Modeling With
                                  Normalized Inverse-Gaussian Priors . . . 1278--1291
              Antonio Lijoi and   
         Igor Prünster and   
              Stephen G. Walker   On Consistency of Nonparametric Normal
                                  Mixtures for Bayesian Density Estimation 1292--1296
         Samuel Müller and   
                    A. H. Welsh   Outlier Robust Model Selection in Linear
                                  Regression . . . . . . . . . . . . . . . 1297--1310
                   Faming Liang   A Generalized Wang--Landau Algorithm for
                                  Monte Carlo Computation  . . . . . . . . 1311--1327
             Marcel Wolbers and   
                  Werner Stahel   Linear Unmixing of Multivariate
                                  Observations: a Structural Model . . . . 1328--1342
              ShengLi Tzeng and   
           Hsin-Cheng Huang and   
                   Noel Cressie   A Fast, Optimal Spatial-Prediction
                                  Method for Massive Datasets  . . . . . . 1343--1357
           Eric D. Kolaczyk and   
                Junchang Ju and   
                Sucharita Gopal   Multiscale, Multigranular Statistical
                                  Image Segmentation . . . . . . . . . . . 1358--1369
               Holger Dette and   
       Viatcheslav B. Melas and   
                  Weng Kee Wong   Optimal Design for Goodness-of-Fit of
                                  the Michaelis--Menten Enzyme Kinetic
                                  Function . . . . . . . . . . . . . . . . 1370--1381
   Paulo Gonçalv\`es and   
                   Rudolf Riedi   Diverging Moments and Parameter
                                  Estimation . . . . . . . . . . . . . . . 1382--1393
                  Lan Zhang and   
             Per A. Mykland and   
          Yacine A\"\it-Sahalia   A Tale of Two Time Scales: Determining
                                  Integrated Volatility with Noisy
                                  High-Frequency Data  . . . . . . . . . . 1394--1411
                Ming T. Lin and   
             Junni L. Zhang and   
            Qiansheng Cheng and   
                      Rong Chen   Independent Particle Filters . . . . . . 1412--1421
                M. C. Jones and   
                  Arthur Pewsey   A Family of Symmetric Distributions on
                                  the Circle . . . . . . . . . . . . . . . 1422--1428
       Giorgio E. Montanari and   
            M. Giovanna Ranalli   Nonparametric Model Calibration
                                  Estimation in Survey Sampling  . . . . . 1429--1442
    Brisa N. Sánchez and   
Esben Budtz-Jòrgensen and   
             Louise M. Ryan and   
                      Howard Hu   Structural Equation Models: a Review
                                  with Applications to Environmental
                                  Epidemiology . . . . . . . . . . . . . . 1443--1455
                      Anonymous   Book Reviews . . . . . . . . . . . . . . 1456--1456
                 Russell Steele   Book Review: \booktitleOptimization, by
                                  Kenneth Lange  . . . . . . . . . . . . . 1457--1457
                 David H. Annis   Book Review: \booktitlePermutation,
                                  Parametric, and Bootstrap Tests of
                                  Hypotheses, by Phillip Good  . . . . . . 1457--1458
                Markus Leippold   Book Review: \booktitleStatistics,
                                  Econometrics and Forecasting, by Arnold
                                  Zellner  . . . . . . . . . . . . . . . . 1458--1458
                    Robert Lund   Book Review: \booktitlePeriodic Time
                                  Series Models, by Philip Hans Franses;
                                  Richard Paap . . . . . . . . . . . . . . 1458--1459
             Yannick Malevergne   Book Review: \booktitlePreparing for the
                                  Worst: Incorporating Downside Risk in
                                  Stock Market Investments, by Hrishikesh
                                  D. Vinod; Derrick P. Reagle  . . . . . . 1459--1460
             Ralph deLaubenfels   Book Review: \booktitleFeynman-Kac
                                  Formulae: Genealogical and Interacting
                                  Particle Systems with Applications, by
                                  Pierre Del Moral . . . . . . . . . . . . 1460--1460
             Ralphde Laubenfels   Book review: \booktitleFeynman--Kac
                                  Formulae: Genealogical and Interacting
                                  Particle Systems with Applications . . . 1460--1460
              Alexander Novikov   Book Review: \booktitleLévy Processes and
                                  Stochastic Calculus, by David Applebaum  1461--1461
                    Yuhong Yang   Book Review: \booktitleInformation
                                  Theory, Inference, and Learning
                                  Algorithms, by David J. C. MacKay  . . . 1461--1462
                 David H. Annis   Book Review: \booktitleStereology for
                                  Statisticians, by Adrian Baddeley; Eva
                                  B. Vedel Jensen  . . . . . . . . . . . . 1462--1462
               B. D. McCullough   Book Review: \booktitleMeasurement
                                  Theory and Practice: The World through
                                  Quantification, by David J. Hand . . . . 1462--1463
                Alex Dmitrienko   Book Review: \booktitleMultiple Analyses
                                  in Clinical Trials: Fundamentals for
                                  Investigators, by Lemuel A. Moyé  . . . . 1463--1463
                Peter Kraft and   
                Christoph Lange   Book Review: \booktitleStatistical
                                  Methods in Genetic Epidemiology, by
                                  Duncan C. Thomas . . . . . . . . . . . . 1464--1464
                Alan R. Kristal   Book Review: \booktitleStatistical
                                  Estimation of Epidemiological Risk, by
                                  Kung-Jong Lui  . . . . . . . . . . . . . 1464--1464
           Darlene R. Goldstein   Book Review: \booktitleAnalyzing
                                  Microarray Gene Expression Data, by
                                  Geoffrey J. McLachlan; Kim-Anh Do;
                                  Christophe Ambroise  . . . . . . . . . . 1464--1465
          George A. Marcoulides   Book Review: \booktitleDiscovering
                                  Knowledge in Data: An Introduction to
                                  Data Mining, by Daniel T. Larose . . . . 1465--1465
              D. Pauler Ankerst   Book Review: \booktitleKendall's
                                  Advanced Theory of Statistics, Vol. 2B:
                                  Bayesian Inference, by Kendall; Anthony
                                  O'Hagan; Jonathan Forster  . . . . . . . 1465--1466
                      Anonymous   Telegraphic Reviews  . . . . . . . . . . 1466--1469
             Mario Peruggia and   
           Russell V. Lenth and   
                   R. V. L. and   
     Carolyn Pillers Dobler and   
                Robert Lund and   
            Tapabrata Maiti and   
                   C. P. D. and   
           Robert Gentleman and   
                          R. L.   Book Review: \booktitleTelegraphic
                                  Reviews  . . . . . . . . . . . . . . . . 1466--1469
                      Anonymous   2005 Editorial Collaborators . . . . . . 1470--1481
                      Anonymous   Back Matter  . . . . . . . . . . . . . . ??
                      Anonymous   Front Matter . . . . . . . . . . . . . . ??
                      Anonymous   Volume Information . . . . . . . . . . . ??


Journal of the American Statistical Association
Volume 101, Number 473, March, 2006

          Richard J. Swartz and   
              Dennis D. Cox and   
            Scott B. Cantor and   
              Kalatu Davies and   
                 Michele Follen   Inverse Decision Theory: Characterizing
                                  Losses for a Decision Rule with
                                  Applications in Cervical Cancer
                                  Screening  . . . . . . . . . . . . . . . 1--8
        Knashawn H. Morales and   
          Joseph G. Ibrahim and   
             Chien-Jen Chen and   
                 Louise M. Ryan   Bayesian Model Averaging With
                                  Applications to Benchmark Dose
                                  Estimation for Arsenic in Drinking Water 9--17
          Nicholas A. Heard and   
      Christopher C. Holmes and   
              David A. Stephens   A Quantitative Study of Gene Regulation
                                  Involved in the Immune Response of
                                  Anopheline Mosquitoes: An Application of
                                  Bayesian Hierarchical Clustering of
                                  Curves . . . . . . . . . . . . . . . . . 18--29
           Raphael Gottardo and   
          Adrian E. Raftery and   
               Ka Yee Yeung and   
             Roger E. Bumgarner   Quality Control and Robust Estimation
                                  for cDNA Microarrays With Replicates . . 30--40
                 Jianhua Hu and   
             Fred A. Wright and   
                        Fei Zou   Estimation of Expression Indexes for
                                  Oligonucleotide Arrays Using the
                                  Singular Value Decomposition . . . . . . 41--50
         Michael G. Hudgens and   
          M. Elizabeth Halloran   Causal Vaccine Effects on Binary
                                  Postinfection Outcomes . . . . . . . . . 51--64
                    Bin Nan and   
                 Xihong Lin and   
          Lynda D. Lisabeth and   
        Siobán D. Harlow   Piecewise Constant Cross-Ratio
                                  Estimation for Association of Age at a
                                  Marker Event and Age at Menopause  . . . 65--77
              Diane Lambert and   
                   Chuanhai Liu   Adaptive Thresholds  . . . . . . . . . . 78--88
              Diane Lambert and   
                   Chuanhai Liu   Adaptive Thresholds: Monitoring Streams
                                  of Network Counts  . . . . . . . . . . . 78--88
                  D. Y. Lin and   
                    D. Zeng and   
             Chiara Sabatti and   
             Glen A. Satten and   
            Andrew S. Allen and   
         Michael P. Epstein and   
        Nilanjan Chatterjee and   
           Christine Spinka and   
                 Jinbo Chen and   
         Raymond J. Carroll and   
            Jung-Ying Tzeng and   
             Kathryn Roeder and   
                 Hongzhe Li and   
                  D. Y. Lin and   
                        D. Zeng   Likelihood-Based Inference on Haplotype
                                  Effects in Genetic Association Studies
                                  [with Comment] . . . . . . . . . . . . . 89--104
                 Chiara Sabatti   Comment: Likelihood-Based Inference on
                                  Haplotype Effects in Genetic Association
                                  Studies  . . . . . . . . . . . . . . . . 104--106
             Glen A. Satten and   
            Andrew S. Allen and   
             Michael P. Epstein   Comment: Likelihood-Based Inference on
                                  Haplotype Effects in Genetic Association
                                  Studies  . . . . . . . . . . . . . . . . 107--108
        Nilanjan Chatterjee and   
           Christine Spinka and   
                 Jinbo Chen and   
             Raymond J. Carroll   Comment: Likelihood-Based Inference on
                                  Haplotype Effects in Genetic Association
                                  Studies  . . . . . . . . . . . . . . . . 108--111
            Jung-Ying Tzeng and   
                 Kathryn Roeder   Comment: Likelihood-Based Inference on
                                  Haplotype Effects in Genetic Association
                                  Studies  . . . . . . . . . . . . . . . . 111--114
                     Hongzhe Li   Comment: Likelihood-Based Inference on
                                  Haplotype Effects in Genetic Association
                                  Studies  . . . . . . . . . . . . . . . . 114--115
                  D. Y. Lin and   
                        D. Zeng   Rejoinder: Likelihood-Based Inference on
                                  Haplotype Effects in Genetic Association
                                  Studies  . . . . . . . . . . . . . . . . 116--118
                  Eric Bair and   
              Trevor Hastie and   
              Debashis Paul and   
              Robert Tibshirani   Prediction by Supervised Principal
                                  Components . . . . . . . . . . . . . . . 119--137
          Peter L. Bartlett and   
          Michael I. Jordan and   
               Jon D. McAuliffe   Convexity, Classification, and Risk
                                  Bounds . . . . . . . . . . . . . . . . . 138--156
             George Casella and   
            Elías Moreno   Objective Bayesian Variable Selection    157--167
          Adrian E. Raftery and   
                      Nema Dean   Variable Selection for Model-Based
                                  Clustering . . . . . . . . . . . . . . . 168--178
              J. E. Griffin and   
                 M. F. J. Steel   Order-Based Dependent Dirichlet
                                  Processes  . . . . . . . . . . . . . . . 179--194
                  Kani Chen and   
                    Zhezhen Jin   Partial Linear Regression Models for
                                  Clustered Data . . . . . . . . . . . . . 195--204
                 Zhaohui Su and   
                Shie-Shien Yang   A Note on Lack-of-Fit Tests for Linear
                                  Models Without Replication . . . . . . . 205--210
         David B. Hitchcock and   
             George Casella and   
                 James G. Booth   Improved Estimation of Dissimilarities
                                  by Presmoothing Functional Data  . . . . 211--222
           Richard A. Davis and   
           Thomas C. M. Lee and   
       Gabriel A. Rodriguez-Yam   Structural Break Estimation for
                                  Nonstationary Time Series Models . . . . 223--239
           Gabriel Chandler and   
               Wolfgang Polonik   Discrimination of Locally Stationary
                                  Time Series Based on the Excess Mass
                                  Functional . . . . . . . . . . . . . . . 240--253
                 Jan Hannig and   
                  Hari Iyer and   
                 Paul Patterson   Fiducial Generalized Confidence
                                  Intervals  . . . . . . . . . . . . . . . 254--269
         Inmaculada B. Aban and   
        Mark M. Meerschaert and   
               Anna K. Panorska   Parameter Estimation for the Truncated
                                  Pareto Distribution  . . . . . . . . . . 270--277
               Fulvio De Santis   Sample Size Determination for Robust
                                  Bayesian Analysis  . . . . . . . . . . . 278--291
                Samuel Copt and   
       Maria-Pia Victoria-Feser   High-Breakdown Inference for Mixed
                                  Linear Models  . . . . . . . . . . . . . 292--300
               Jiming Jiang and   
                      P. Lahiri   Estimation of Finite Population Domain
                                  Means: a Model-Assisted Empirical Best
                                  Prediction Approach  . . . . . . . . . . 301--311
              Jae Kwang Kim and   
            Alfredo Navarro and   
                Wayne A. Fuller   Replication Variance Estimation for
                                  Two-Phase Stratified Sampling  . . . . . 312--320
                Jihong Chen and   
                   Xiaoming Huo   Distribution of the Length of the
                                  Longest Significance Run on a Bernoulli
                                  Net and Its Applications . . . . . . . . 321--331
                 Pedro Puig and   
                   Jordi Valero   Count Data Distributions: Some
                                  Characterizations with Applications  . . 332--340
       Edsel A. Peña and   
             Elizabeth H. Slate   Global Validation of Linear Model
                                  Assumptions  . . . . . . . . . . . . . . 341--354
                 Peng Zhang and   
              Xiaogang Wang and   
               Peter X.-K. Song   Clustering Categorical Data Based on
                                  Distance Vectors . . . . . . . . . . . . 355--367
                   Dong Han and   
                    Fugee Tsung   A Reference-Free Cuscore Chart for
                                  Dynamic Mean Change Detection and a
                                  Unified Framework for Charting
                                  Performance Comparison . . . . . . . . . 368--386
                      Anonymous   Book Reviews . . . . . . . . . . . . . . 387--387
                     Anja Sturm   Book Review: \booktitleThe Theory of
                                  Measures and Integration, by Eric M.
                                  Vestrup  . . . . . . . . . . . . . . . . 388--388
                        Jun Yan   Book Review: \booktitleGaussian Markov
                                  Random Fields: Theory and Applications,
                                  by Harvard Rue; Leonhard Held  . . . . . 388--389
                        Jun Zhu   Book Review: \booktitleStatistical
                                  Methods for Spatial Data Analysis, by
                                  Oliver Schabenberger; Carol A. Gotway    389--390
            Alexander J. McNeil   Book Review: \booktitleMultivariate $t$
                                  Distributions and Their Applications, by
                                  Samuel Kotz; Saralees Nadarajah  . . . . 390--391
                Judith Rousseau   Book Review: \booktitleProbability
                                  Matching Priors: Higher Order
                                  Asymptotics, by Gauri Sankar Datta;
                                  Rahul Mukerjee . . . . . . . . . . . . . 391--391
             Athanasios Micheas   Book Review: \booktitleConstrained
                                  Statistical Inference: Inequality,
                                  Order, and Shape Restrictions, by Mervyn
                                  J. Silvapulle; Pranab K. Sen . . . . . . 391--392
               Donna Spiegelman   Book Review: \booktitleMeasurement Error
                                  and Misclassification in Statistics and
                                  Epidemiology, by Paul Gustafson  . . . . 392--393
                   W. Jim Zheng   Book Review: \booktitleStatistical
                                  Methods in Bioinformatics: An
                                  Introduction, by Warren J. Ewens;
                                  Gregory Grant  . . . . . . . . . . . . . 393--393
                     Jay Devore   Book Review: \booktitleA Modern
                                  Introduction to Probability and
                                  Statistics: Understanding Why and How,
                                  by F. M. Dekking; C. Kraaikamp; H. P.
                                  Lopuhaä; L. E. Meester  . . . . . . . . . 393--394
     Patricia Pepple Williamson   Book Review: \booktitleMathematical
                                  Statistics with Applications, by Asha
                                  Seth Kapadia; Wenyaw Chan; Lemuel Moyé    394--395
                       Max Buot   Book Review: \booktitleProbability and
                                  Computing: Randomized Algorithms and
                                  Probabilistic Analysis, by Michael
                                  Mitzenmacher; Eli Upfal  . . . . . . . . 395--396
                Matthew Carlton   Book Review: \booktitleProbability and
                                  Probabilistic Reasoning for Electrical
                                  Engineering, by Terrence L. Fine . . . . 396--396
     Christine M. Anderson-Cook   Book Review: \booktitleStatistical
                                  Design of Experiments with Engineering
                                  Applications, by Kamel Rekab; Muzaffar
                                  Shaikh . . . . . . . . . . . . . . . . . 396--397
                   Alan F. Karr   Book Review: \booktitleEvolution of
                                  Biological Systems in Random Media:
                                  Limit Theorems and Stability, by Anatoly
                                  Swishchuk; Jianhong Wu . . . . . . . . . 397--397
                  Fabio Trojani   Book Review: \booktitleSemiparametric
                                  Regression for the Applied
                                  Econometrician, by Adonis Yatchew  . . . 397--398
             Tathagata Banerjee   Book Review: \booktitleExploring
                                  Multivariate Data with the Forward
                                  Search, by Anthony C. Atkinson; Marco
                                  Riani; Andrea Cerioli  . . . . . . . . . 398--398
                 Mario Paruggia   Book review: \booktitleSensitivity
                                  Analysis in Practice: A Guide to
                                  Assessing Scientific Models  . . . . . . 398--399
                 Mario Peruggia   Book Review: \booktitleSensitivity
                                  Analysis in Practice: A Guide to
                                  Assessing Scientific Models, by Andrea
                                  Saltelli; Stefano Tarantola; Francesca
                                  Campolongo; Marco Ratto  . . . . . . . . 398--399
                   Alan F. Karr   Book Review: \booktitleExploratory Data
                                  Mining and Data Cleaning, by Tamraparni
                                  Dasu; Theodore Johnson . . . . . . . . . 399--399
                   Brian Jersky   Book Review: \booktitleExploratory Data
                                  Analysis with MATLAB, by Wendy L.
                                  Martinez; Angel R. Martinez  . . . . . . 399--400
               Douglas Steinley   Book Review: \booktitleCategorical Data
                                  Analysis with SAS and SPSS Applications,
                                  by Bayo Lawal; \booktitleCategorical
                                  Data Analysis Using the SAS System, by
                                  Maura E. Stokes; Charles S. Davis; Gary
                                  G. Koch  . . . . . . . . . . . . . . . . 400--400
             Penelope S. Pooler   Book Review: \booktitleHandling Missing
                                  Data: Applications to Environmental
                                  Analysis, by G. Latini; G. Passerini . . 400--401
                   Philip Dixon   Book Review: \booktitleNondetects and
                                  Data Analysis: Statistics for Censored
                                  Environmental Data, by Dennis R. Helsel  401--401
            Stephen E. Fienberg   Book Review: \booktitleAnalysis of
                                  Survey Data, by R. L. Chambers; C. J.
                                  Skinner  . . . . . . . . . . . . . . . . 401--402
     Christine M. Anderson-Cook   Book Review: \booktitleElementary
                                  Statistical Quality Control, by John T.
                                  Burr . . . . . . . . . . . . . . . . . . 402--402
              Michael D. Larsen   Book Review: \booktitleLongitudinal and
                                  Panel Data: Analysis and Applications in
                                  the Social Sciences, by Edward W. Frees  402--402
               Joseph Cavanaugh   Book Review: \booktitleHandbook of
                                  Epidemiology, by W. Ahrens; I. Pigeot    402--403
                Robert H. Lyles   Book Review: \booktitleRegression
                                  Methods in Biostatistics: Linear,
                                  Logistic, Survival, and Repeated
                                  Measures Models, by Eric Vittinghoff;
                                  David V. Glidden; Stephen C. Shiboski;
                                  Charles E. Mcculloch . . . . . . . . . . 403--404
         William F. Rosenberger   Book Review: \booktitleStatistical
                                  Concepts and Applications in Clinical
                                  Medicine, by John Aitchison; Jim W. Kay;
                                  Ian J. Lauder  . . . . . . . . . . . . . 404--404
                   Simon Davies   Book Review: \booktitleEpidemiology:
                                  Study Design and Data Analysis, by Mark
                                  Woodward . . . . . . . . . . . . . . . . 404--405
                      Anonymous   Telegraphic Reviews  . . . . . . . . . . 405--405
               Alan F. Karr and   
             Daniel B. Hall and   
 Christine M. Anderson-Cook and   
                Tapabrata Maiti   Book Review: \booktitleTelegraphic
                                  Reviews  . . . . . . . . . . . . . . . . 405--406
                      Anonymous   Correction . . . . . . . . . . . . . . . 407--407
               Lori E. Dodd and   
         Margaret Sullivan Pepe   Corrections: Semi-Parametric Regression
                                  for the Area under the Receiver
                                  Operating Characteristic Curve . . . . . 407--407
                      Anonymous   Back Matter  . . . . . . . . . . . . . . ??
                      Anonymous   Front Matter . . . . . . . . . . . . . . ??

Journal of the American Statistical Association
Volume 101, Number 474, June, 2006

                 Tian Zheng and   
        Matthew J. Salganik and   
                  Andrew Gelman   How Many People Do You Know in Prison?:
                                  Using Overdispersion in Count Data to
                                  Estimate Social Structure in Networks    409--423
                  Jason Roy and   
               Don Alderson and   
            Joseph W. Hogan and   
               Karen T. Tashima   Conditional Inference Methods for
                                  Incomplete Poisson Data with Endogenous
                                  Time-Varying Covariates: Emergency
                                  Department Use among HIV-Infected Women  424--434
           Niko A. Kaciroti and   
  Trivellore E. Raghunathan and   
          M. Anthony Schork and   
            Noreen M. Clark and   
                     Molly Gong   A Bayesian Approach for Clustered
                                  Longitudinal Ordinal outcome with
                                  Nonignorable Missing Data: Evaluation of
                                  an Asthma Education Program  . . . . . . 435--446
                 Guobing Lu and   
                     A. E. Ades   Assessing Evidence Inconsistency in
                                  Mixed Treatment Comparisons  . . . . . . 447--459
             Steven D. Mark and   
               Hormuzd A. Katki   Specifying and Implementing
                                  Nonparametric and Semiparametric
                                  Survival Estimators in Two-Stage
                                  (Nested) Cohort Studies With Missing
                                  Case Data  . . . . . . . . . . . . . . . 460--471
               Yousung Park and   
               Jai Won Choi and   
                  Hee-Young Kim   Forecasting Cause-Age Specific Mortality
                                  Using Two Random Processes . . . . . . . 472--483
                  J. Hannig and   
                   J. S. Marron   Advanced Distribution Theory for SiZer   484--499
                 Yufeng Liu and   
                  Xiaotong Shen   Multicategory $\psi$-Learning  . . . . . 500--509
           Beth Ann Griffin and   
                Stephen Lagakos   Analysis of Failure Time Data Arising
                                  From Studies With Alternating Treatment
                                  Schedules  . . . . . . . . . . . . . . . 510--520
              Gerhard Dikta and   
              Marsel Kvesic and   
              Christian Schmidt   Bootstrap Approximations in Model Checks
                                  for Binary Data  . . . . . . . . . . . . 521--530
           J. Carlos Escanciano   Goodness-of-Fit Tests for Linear and
                                  Nonlinear Time Series Models . . . . . . 531--541
                 Grace Chiu and   
           Richard Lockhart and   
              Richard Routledge   Bent-Cable Regression Theory and
                                  Applications . . . . . . . . . . . . . . 542--553
              Xiaotong Shen and   
               Hsin-Cheng Huang   Optimal Model Assessment, Selection, and
                                  Combination  . . . . . . . . . . . . . . 554--568
 Miguel A. Fernández and   
             Cristina Rueda and   
             Bonifacio Salvador   Incorporating Additional Information to
                                  Normal Linear Discriminant Rules . . . . 569--577
                     Yi Lin and   
                    Yongho Jeon   Random Forests and Adaptive Nearest
                                  Neighbors  . . . . . . . . . . . . . . . 578--590
                      Yi Li and   
                     Xihong Lin   Semiparametric Normal Transformation
                                  Models for Spatially Correlated Survival
                                  Data . . . . . . . . . . . . . . . . . . 591--603
         M. Blanca Palacios and   
               Mark F. J. Steel   Non-Gaussian Bayesian Geostatistical
                                  Modeling . . . . . . . . . . . . . . . . 604--618
               Paul Kabaila and   
                    Hannes Leeb   On the Large-Sample Minimal Coverage
                                  Probability of Confidence Intervals
                                  After Model Selection  . . . . . . . . . 619--629
                 Lixing Zhu and   
                 Baiqi Miao and   
                      Heng Peng   On Sliced Inverse Regression With
                                  High-Dimensional Covariates  . . . . . . 630--643
             Irini Moustaki and   
       Maria-Pia Victoria-Feser   Bounded-Influence Robust Estimation in
                                  Generalized Linear Latent Variable
                                  Models . . . . . . . . . . . . . . . . . 644--653
              Pedro Galeano and   
         Daniel Peña and   
                   Ruey S. Tsay   Outlier Detection in Multivariate Time
                                  Series by Projection Pursuit . . . . . . 654--669
               Donglin Zeng and   
               Guosheng Yin and   
              Joseph G. Ibrahim   Semiparametric Transformation Models for
                                  Survival Data With a Cure Fraction . . . 670--684
            Siddhartha Chib and   
                 Ivan Jeliazkov   Inference in Semiparametric Dynamic
                                  Models for Binary Longitudinal Data  . . 685--700
             Ryan T. Elmore and   
                 Peter Hall and   
          Vladimir S. Troynikov   Nonparametric Density Estimation From
                                  Covariate Information  . . . . . . . . . 701--711
                 Ruixue Liu and   
                    Art B. Owen   Estimating Mean Dimensionality of
                                  Analysis of Variance Decompositions  . . 712--721
                   Lan Wang and   
             Michael G. Akritas   Testing for Covariate Effects in the
                                  Fully Nonparametric Analysis of
                                  Covariance Model . . . . . . . . . . . . 722--736
                  H. Finner and   
                K. Strassburger   On $\delta$-Equivalence With the Best in
                                  $k$-Sample Models  . . . . . . . . . . . 737--746
        Stefanie Biedermann and   
               Holger Dette and   
                        Wei Zhu   Optimal Designs for Dose--Response
                                  Models With Restricted Design Spaces . . 747--759
            Cyr Emile M'Lan and   
            Lawrence Joseph and   
               David B. Wolfson   Bayesian Sample Size Determination for
                                  Case-Control Studies . . . . . . . . . . 760--772
                Billy Amzal and   
Frédéric Y. Bois and   
                Eric Parent and   
            Christian P. Robert   Bayesian-Optimal Design via Interacting
                                  Particle Systems . . . . . . . . . . . . 773--785
       Francesco Bartolucci and   
                Antonio Forcina   A Class of Latent Marginal Models for
                                  Capture--Recapture Data With Continuous
                                  Covariates . . . . . . . . . . . . . . . 786--794
               Chun-Lung Su and   
              Wesley O. Johnson   Large-Sample Joint Posterior
                                  Approximations When Full Conditionals
                                  Are Approximately Normal: Application to
                                  Generalized Linear Mixed Models  . . . . 795--811
              Willa W. Chen and   
        Clifford M. Hurvich and   
                          Yi Lu   On the Correlation Matrix of the
                                  Discrete Fourier Transform and the Fast
                                  Solution of Large Toeplitz Systems for
                                  Long-Memory Time Series  . . . . . . . . 812--822
José T. A. S. Ferreira and   
               Mark F. J. Steel   A Constructive Representation of
                                  Univariate Skewed Distributions  . . . . 823--829
             Kai-Sheng Song and   
                     Ta-Hsin Li   On Convergence and Bias Correction of a
                                  Joint Estimation Algorithm for Multiple
                                  Sinusoidal Frequencies . . . . . . . . . 830--842
                      Anonymous   Book Reviews . . . . . . . . . . . . . . 843--843
               Joseph Cavanaugh   Book Review: \booktitleEncyclopedia of
                                  Biostatistics, by Peter Armitage;
                                  Theodore Colton  . . . . . . . . . . . . 844--844
                 David H. Annis   Book Review: \booktitleBayesian Models
                                  for Categorical Data, by Peter Congdon   844--845
                Damir Filipovic   Book Review: \booktitleProbability: A
                                  Graduate Course, by Allan Gut  . . . . . 845--845
                       Marc Yor   Book Review: \booktitleStochastic
                                  Inequalities and Applications, by
                                  Evariste Giné; Christian Houdré; David
                                  Nualart  . . . . . . . . . . . . . . . . 845--846
              Peter C. Kiessler   Book Review: \booktitleStatistical
                                  Inference for Ergodic Diffusion
                                  Processes, by Yury A. Kutoyants  . . . . 846--846
                      Don Geman   Book Review: \booktitleModeling and
                                  Inverse Problems in Image Analysis, by
                                  Bernard Chalmond . . . . . . . . . . . . 847--847
                Andrew A. Neath   Book Review: \booktitleTesting
                                  Statistical Hypotheses, by E. L.
                                  Lehmann; Joseph P. Romano  . . . . . . . 847--848
              Vladimir Dragalin   Book Review: \booktitleInference for
                                  Change Point and Post Change Means after
                                  a CUSUM Test, by Yanhong Wu  . . . . . . 848--848
           Thomas E. Bradstreet   Book Review: \booktitleThe Analysis of
                                  Means: A Graphical Method for Comparing
                                  Means, Rates, and Proportions, by Peter
                                  R. Nelson; Peter S. Wludyka; Karen A. F.
                                  Copeland . . . . . . . . . . . . . . . . 848--849
                     Eric Zivot   Book Review: \booktitleStatistics and
                                  Finance: An Introduction, by David
                                  Ruppert  . . . . . . . . . . . . . . . . 849--850
              Wolfgang Breymann   Book Review: \booktitleTheory of
                                  Financial Risk and Derivative Pricing:
                                  From Statistical Physics to Risk
                                  Management, by Jean-Philippe Bouchaud;
                                  Marc Potters . . . . . . . . . . . . . . 850--852
           Edsel A. Peña   Book Review: \booktitleNonparametric
                                  Statistical Methods for Complete and
                                  Censored Data, by M. M. Desu; D.
                                  Raghavarao . . . . . . . . . . . . . . . 852--853
               Kathleen F. Kerr   Book Review: \booktitleDesign and
                                  Analysis of Experiments, Vol. 2:
                                  Advanced Experimental Design, by Klaus
                                  Hinkelmann; Oscar Kempthorne . . . . . . 853--854
            Pankaj K. Choudhary   Book Review: \booktitleAnalyzing Rater
                                  Agreement: Manifest Variable Methods, by
                                  Alexander von Eye; Eun Young Mun . . . . 854--854
        Mariano Ruiz Espejo and   
          Miguel Delgado Pineda   Book Review: \booktitleEstimation in
                                  Surveys with Nonresponse, by Carl-Erik
                                  Särndal; Sixten Lundström  . . . . . . . . 854--854
              Samuel E. Buttrey   Book Review: \booktitleClustering for
                                  Data Mining: A Data Recovery Approach,
                                  by Boris Mirkin  . . . . . . . . . . . . 854--855
                    Webb Miller   Book Review: \booktitleAn Introduction
                                  to Bioinformatics Algorithms, by Neil C.
                                  Jones; Pavel A. Pevzner  . . . . . . . . 855--855
                  J. Wade Davis   Book Review: \booktitleStatistics for
                                  Microarrays: Design, Analysis and
                                  Inference, by Ernst Wit; John McClure    855--856
                 Galin L. Jones   Book Review: \booktitleComputational
                                  Statistics, by Geof H. Givens; Jennifer
                                  A. Hoeting . . . . . . . . . . . . . . . 856--857
                     Ross Ihaka   Book Review: \booktitleDeveloping
                                  Statistical Software in Fortran 95, by
                                  David R. Lemmon; Joseph L. Schafer . . . 857--857
                  Ulric J. Lund   Book Review: \booktitleAn R and
                                  S-Plus\reg Companion to Multivariate
                                  Analysis, by Brian S. Everitt  . . . . . 857--858
           Valerie L. Durkalski   Book Review: \booktitleAnalysis of
                                  Clinical Trials Using SAS\reg: A
                                  Practical Guide, by Alex Dmitrienko;
                                  Geert Molenberghs; Christy Chuang-Stein;
                                  Walter Offen . . . . . . . . . . . . . . 858--858
                      Anonymous   Telegraphic Reviews  . . . . . . . . . . 859--859
             Mario Peruggia and   
               Joseph Cavanaugh   Book Review: \booktitleTelegraphic
                                  Reviews  . . . . . . . . . . . . . . . . 859--859
           Tereza Neocleous and   
     Karlien Vanden Branden and   
                Stephen Portnoy   Correction to \em Censored Regression
                                  Quantiles by S. Portnoy, \bf 98 (2003),
                                  1001--1012 . . . . . . . . . . . . . . . 860--861
                      Anonymous   Back Matter  . . . . . . . . . . . . . . ??
                      Anonymous   Front Matter . . . . . . . . . . . . . . ??

Journal of the American Statistical Association
Volume 101, Number 475, September, 2006

                 Sibel Sirakaya   Recidivism and Social Interactions . . . 863--877
            Jeffrey Grogger and   
                  Greg Ridgeway   Testing for Racial Profiling in Traffic
                                  Stops From Behind a Veil of Darkness . . 878--887
               Daniel E. Ho and   
                    Kosuke Imai   Randomization Inference with Natural
                                  Experiments: An Analysis of Ballot
                                  Effects in the 2003 California Recall
                                  Election . . . . . . . . . . . . . . . . 888--900
              Guanglei Hong and   
          Stephen W. Raudenbush   Evaluating Kindergarten Retention
                                  Policy: a Case Study of Causal Inference
                                  for Multilevel Observational Data  . . . 901--910
           John W. Robinson and   
             Scott L. Zeger and   
         Christopher B. Forrest   A Hierarchical Multivariate Two-Part
                                  Model for Profiling Providers' Effects
                                  on Health Care Charges . . . . . . . . . 911--923
         Nathaniel Schenker and   
  Trivellore E. Raghunathan and   
                Pei-Lu Chiu and   
             Diane M. Makuc and   
              Guangyu Zhang and   
                  Alan J. Cohen   Multiple Imputation of Missing Income
                                  Data in the National Health Interview
                                  Survey . . . . . . . . . . . . . . . . . 924--933
                  Min Zhang and   
      Robert L. Strawderman and   
              Mark E. Cowen and   
                Martin T. Wells   Bayesian Inference for a Two-Part
                                  Hierarchical Model: An Application to
                                  Profiling Providers in Managed Health
                                  Care . . . . . . . . . . . . . . . . . . 934--945
            Simon Cauchemez and   
               Laura Temime and   
           Didier Guillemot and   
           Emmanuelle Varon and   
     Alain-Jacques Valleron and   
                 Guy Thomas and   
        Pierre-Yves Boëlle   Investigating Heterogeneity in
                                  Pneumococcal Transmission: a Bayesian
                                  MCMC Approach Applied to a Follow-up of
                                  Schools  . . . . . . . . . . . . . . . . 946--958
               Juanjuan Fan and   
               Xiao-Gang Su and   
          Richard A. Levine and   
             Martha E. Nunn and   
                Michael LeBlanc   Trees for Correlated Survival Data by
                                  Goodness of Split, With Applications to
                                  Tooth Prognosis  . . . . . . . . . . . . 959--967
           Tilmann Gneiting and   
             Kristin Larson and   
           Kenneth Westrick and   
             Marc G. Genton and   
                   Eric Aldrich   Calibrated Probabilistic Forecasting at
                                  the Stateline Wind Energy Center: The
                                  Regime-Switching Space: Time Method  . . 968--979
              Roger Koenker and   
                    Zhijie Xiao   Quantile Autoregression  . . . . . . . . 980--990
              Roger Koenker and   
                Zhijie Xiao and   
               Jianqing Fan and   
               Yingying Fan and   
                Marc Knight and   
                Marc Hallin and   
           Bas J. M. Werker and   
        Christian M. Hafner and   
           Oliver B. Linton and   
                 P. M. Robinson   Quantile Autoregression [with Comments,
                                  Rejoinder] . . . . . . . . . . . . . . . 980--1006
               Jianqing Fan and   
                   Yingying Fan   Comment: Quantile Autoregression . . . . 991--994
                   Keith Knight   Comment: Quantile Autoregression . . . . 994--996
                Marc Hallin and   
               Bas J. M. Werker   Comment: Quantile Autoregression . . . . 996--998
        Christian M. Hafner and   
               Oliver B. Linton   Comment: Quantile Autoregression . . . . 998--1001
                 P. M. Robinson   Comment: Quantile Autoregression . . . . 1001--1002
              Roger Koenker and   
                    Zhijie Xiao   Rejoinder: Quantile Autoregression . . . 1002--1006
     Hans-Georg Müller and   
    Ulrich Stadtmüller and   
                       Fang Yao   Functional Variance Processes  . . . . . 1007--1018
                Sharon Lohr and   
                   J. N. K. Rao   Estimation in Multiple-Frame Surveys . . 1019--1030
              A. S. Hedayat and   
               John Stufken and   
                       Min Yang   Optimal and Efficient Crossover Designs
                                  When Subject Effects Are Random  . . . . 1031--1038
               Shun-Yi Chen and   
                 Bernard Harris   On Lower Tolerance Limits With Accurate
                                  Coverage Probabilities for the Normal
                                  Random Effects Model . . . . . . . . . . 1039--1049
         Chu-In Charles Lee and   
                Jianan Peng and   
                        Lin Liu   Statistical Inference for the Difference
                                  Between the Best Treatment Mean and a
                                  Control Mean . . . . . . . . . . . . . . 1050--1058
 Sòren Tolver Jensen and   
                  Jesper Madsen   Estimation in Linear Models Based on
                                  Observations With Unknown and Possibly
                                  Unequal Scaling  . . . . . . . . . . . . 1059--1064
         Andrea Hennerfeind and   
            Andreas Brezger and   
                Ludwig Fahrmeir   Geoadditive Survival Models  . . . . . . 1065--1075
       Christopher M. Quale and   
       Mark J. van der Laan and   
                James R. Robins   Locally Efficient Estimation With
                                  Bivariate Right-Censored Data  . . . . . 1076--1084
                 Limin Peng and   
                  Jason P. Fine   Rank Estimation of Accelerated Lifetime
                                  Models With Dependent Censoring  . . . . 1085--1093
          Lutz Dümbgen and   
        Sandra Freitag-Wolf and   
                Geurt Jongbloed   Estimating a Unimodal Distribution From
                                  Interval-Censored Data . . . . . . . . . 1094--1106
         Michael A. Fligner and   
           Steven N. MacEachern   Nonparametric Two-Sample Methods for
                                  Ranked-Set Sample Data . . . . . . . . . 1107--1118
         Finbarr O'Sullivan and   
         Kingshuk Roy Choudhury   A Statistical Measure of Regularity for
                                  the Study of Wind-Generated Wave Field
                                  Images . . . . . . . . . . . . . . . . . 1119--1131
          Michael Goldstein and   
               Jonathan Rougier   Bayes Linear Calibrated Prediction for
                                  Complex Systems  . . . . . . . . . . . . 1132--1143
               Kjell Nygren and   
                  Lan Ma Nygren   Likelihood Subgradient Densities . . . . 1144--1156
             Nils Lid Hjort and   
            Fredrik A. Dahl and   
Gunnhildur Högnadóttir Steinbakk   Post-Processing Posterior Predictive $p$
                                  Values . . . . . . . . . . . . . . . . . 1157--1174
              Subharup Guha and   
           Steven N. MacEachern   Generalized Poststratification and
                                  Importance Sampling for Subsampled
                                  Markov Chain Monte Carlo Estimation  . . 1175--1184
          Stephen M. S. Lee and   
                      M. C. Pun   On m out of n Bootstrapping for
                                  Nonstandard $M$-Estimation With Nuisance
                                  Parameters . . . . . . . . . . . . . . . 1185--1197
Matías Salibián-Barrera and   
           Stefan Van Aelst and   
                   Gert Willems   Principal Components Analysis Based on
                                  Multivariate MM Estimators With Fast and
                                  Robust Bootstrap . . . . . . . . . . . . 1198--1211
                Lijian Yang and   
             Byeong U. Park and   
                    Lan Xue and   
           Wolfgang Härdle   Estimation and Testing for Varying
                                  Coefficients in Additive Models With
                                  Marginal Integration . . . . . . . . . . 1212--1227
              Xiaohong Chen and   
                 Yanqin Fan and   
             Viktor Tsyrennikov   Efficient Estimation of Semiparametric
                                  Multivariate Copula Models . . . . . . . 1228--1240
       Mohamed Yusuf Hassan and   
                   Keh-Shin Lii   Modeling Marked Point Processes via
                                  Bivariate Mixture Transition
                                  Distribution Models  . . . . . . . . . . 1241--1252
                      Yong Kong   Distribution of Runs and Longest Runs: a
                                  New Generating Function Approach . . . . 1253--1263
            Chung-Ming Kuan and   
                   Wei-Ming Lee   Robust $M$ Tests Without Consistent
                                  Estimation of the Asymptotic Covariance
                                  Matrix . . . . . . . . . . . . . . . . . 1264--1275
           Andrea Rotnitzky and   
              David Faraggi and   
            Enrique Schisterman   Doubly Robust Estimation of the Area
                                  Under the Receiver-Operating
                                  Characteristic Curve in the Presence of
                                  Verification Bias  . . . . . . . . . . . 1276--1288
               Martin Kulldorff   Tests of Spatial Randomness Adjusted for
                                  an Inhomogeneity: a General Framework    1289--1305
                      Anonymous   Book Reviews . . . . . . . . . . . . . . 1306--1306
                John Williamson   Book Review: \booktitleModels for
                                  Discrete Longitudinal Data, by Geert
                                  Molenberghs; Geert Verbeke . . . . . . . 1307--1307
                John M. Neuhaus   Book Review: \booktitleFixed Effects
                                  Regression Methods for Longitudinal Data
                                  Using SAS, by Paul D. Allison  . . . . . 1308--1308
                  Paul Speckman   Book Review: \booktitleNonparametric and
                                  Semiparametric Models, by Wolfgang
                                  Härdle; Marlene Müller; Stefan Sperlich;
                                  Axel Werwatz . . . . . . . . . . . . . . 1308--1309
           Rosario Dell' Aquila   Book Review: \booktitleGeneralized
                                  Method of Moments, by Alastair R. Hall   1309--1310
            Rosario Dell'Aquila   Book review: \booktitleGeneralized
                                  Method of Moments  . . . . . . . . . . . 1309--1310
                 James G. Booth   Book review: \booktitleAnalysis of
                                  Variance for Random Models: Theory,
                                  Methods, Applications, and Data
                                  Analysis, Vol. 1: Balanced Data,
                                  Analysis of Variance for Random Models:
                                  Theory, Methods, Applications, and Data
                                  Analysis, Vol. 2: Unbalanced Data., by
                                  Hardeo Sahai; Mario Miguel Ojeda . . . . 1310--1310
                Sarah M. Nusser   Book Review: \booktitleSurvey
                                  Methodology, by Robert M. Groves; Floyd
                                  J. Fowler, Jr.; Mick P. Couper; James M.
                                  Lepkowski; Eleanor Singer; Roger
                                  Tourangeau . . . . . . . . . . . . . . . 1310--1311
           Christopher K. Wikle   Book Review: \booktitleEnvironmental
                                  Statistics: Methods and Applications, by
                                  Vic Barnett  . . . . . . . . . . . . . . 1311--1312
                Stephan R. Sain   Book Review: \booktitleAnalysis and
                                  Modelling of Spatial Environmental Data,
                                  by Mikhail Kanevski; Michel Maignan  . . 1312--1312
                   Marek Kimmel   Book Review: \booktitleStatistical
                                  Methods in Molecular Evolution, by
                                  Rasmus Nielsen . . . . . . . . . . . . . 1312--1313
                    Malay Ghosh   Book Review: \booktitleBayesian
                                  Nonparametrics via Neural Networks, by
                                  Herbert K. H. Lee  . . . . . . . . . . . 1313--1313
                   Thomas Otter   Book Review: \booktitleContemporary
                                  Bayesian Econometrics and Statistics, by
                                  John Geweke  . . . . . . . . . . . . . . 1313--1314
           Christopher Genovese   Book Review: \booktitleMultivariate
                                  Bayesian Statistics: Models for Source
                                  Separation and Signal Unmixing, by
                                  Daniel B. Rowe . . . . . . . . . . . . . 1314--1315
                  N. H. Bingham   Book Review: \booktitleFinancial
                                  Modelling with Jump Processes, by Rama
                                  Cont; Peter Tankov . . . . . . . . . . . 1315--1316
             Hanspeter Schmidli   Book Review: \booktitleInsurance Risk
                                  and Ruin, by David C. M. Dickson . . . . 1316--1316
                  John P. Klein   Book Review: \booktitleFlowgraph Models
                                  for Multistate Time-to-Event Data, by
                                  Aparna V. Huzurbazar . . . . . . . . . . 1316--1317
                   Alan F. Karr   Book Review: \booktitleRandom Graphs for
                                  Statistical Pattern Recognition, by
                                  David J. Marchette . . . . . . . . . . . 1317--1317
                Rudolf H. Riedi   Book Review: \booktitleAn Introduction
                                  to Statistical Signal Processing, by
                                  Robert M. Gray; Lee D. Davisson  . . . . 1317--1317
              Richard J. Cleary   Book Review: \booktitleApplied Data
                                  Mining: Statistical Methods for Business
                                  and Industry, by Paolo Giudici . . . . . 1317--1318
                      Anonymous   Telegraphic Reviews  . . . . . . . . . . 1318--1320
              J. Wade Davis and   
               Alan F. Karr and   
           Joseph Cavanaugh and   
          Richard J. Cleary and   
                    Robert Lund   Book Review: \booktitleTelegraphic
                                  Reviews  . . . . . . . . . . . . . . . . 1318--1320
                      Anonymous   Correction . . . . . . . . . . . . . . . 1321--1321
                      Anonymous   Correction: Inference after Model
                                  Selection  . . . . . . . . . . . . . . . 1321--1321
                      Anonymous   Back Matter  . . . . . . . . . . . . . . ??
                      Anonymous   Front Matter . . . . . . . . . . . . . . ??

Journal of the American Statistical Association
Volume 101, Number 476, December, 2006

                  Ming Yuan and   
      Christina Kendziorski and   
                 Hongzhe Li and   
               Fangxin Hong and   
                  Dan Nettleton   Hidden Markov Models for Microarray Time
                                  Course Data in Multiple Biological
                                  Conditions [with Discussions, Rejoinder] 1323--1332
                 Hongzhe Li and   
                   Fangxin Hong   Discussion . . . . . . . . . . . . . . . 1332--1334
                  Dan Nettleton   Discussion . . . . . . . . . . . . . . . 1334--1338
                  Ming Yuan and   
          Christina Kendziorski   Rejoinder: Discussion  . . . . . . . . . 1338--1340
               Swati Biswas and   
                      Shili Lin   A Bayesian Approach for Incorporating
                                  Variable Rates of Heterogeneity in
                                  Linkage Analysis . . . . . . . . . . . . 1341--1351
          Jeffrey S. Morris and   
           Cassandra Arroyo and   
             Brent A. Coull and   
             Louise M. Ryan and   
            Richard Herrick and   
            Steven L. Gortmaker   Using Wavelet-Based Functional Mixed
                                  Models to Characterize Population
                                  Heterogeneity in Accelerometer Profiles:
                                  a Case Study . . . . . . . . . . . . . . 1352--1364
  E. Andrés Houseman and   
             Brent A. Coull and   
                 James P. Shine   A Nonstationary Negative Binomial Time
                                  Series with Time-Dependent Covariates:
                                  \em Enterococcus Counts in Boston Harbor 1365--1376
                Jessica Tressou   Nonparametric Modeling of the Left
                                  Censorship of Analytical Data in Food
                                  Risk Assessment  . . . . . . . . . . . . 1377--1386
          Danny Pfeffermann and   
                 Richard Tiller   Small-Area Estimation With State--Space
                                  Models Subject to Benchmark Constraints  1387--1397
               Michael E. Sobel   What Do Randomized Studies of Housing
                                  Mobility Demonstrate?: Causal Inference
                                  in the Face of Interference  . . . . . . 1398--1407
    Christopher R. Genovese and   
                Larry Wasserman   Exceedance Control of the False
                                  Discovery Proportion . . . . . . . . . . 1408--1417
                        Hui Zou   The Adaptive Lasso and Its Oracle
                                  Properties . . . . . . . . . . . . . . . 1418--1429
                   Bowei Xi and   
         George Michailidis and   
                Vijayan N. Nair   Estimating Network Loss Rates Using
                                  Active Tomography  . . . . . . . . . . . 1430--1448
             Nils Lid Hjort and   
                Gerda Claeskens   Focused Information Criteria and Model
                                  Averaging for the Cox Hazard Regression
                                  Model  . . . . . . . . . . . . . . . . . 1449--1464
                 Yanyuan Ma and   
             Raymond J. Carroll   Locally Efficient Estimators for
                                  Semiparametric Models With Measurement
                                  Error  . . . . . . . . . . . . . . . . . 1465--1474
                  Mi-Ja Woo and   
                   T. N. Sriram   Robust Estimation of Mixture Complexity  1475--1486
           Sudipto Banerjee and   
                Alan E. Gelfand   Bayesian Wombling  . . . . . . . . . . . 1487--1501
           Sudipto Banerjee and   
                Alan E. Gelfand   Bayesian Wombling: Curvilinear Gradient
                                  Assessment Under Spatial Process Models  1487--1501
                   Yongtao Guan   A Composite Likelihood Approach in
                                  Fitting Spatial Point Process Models . . 1502--1512
         Michael G. Akritas and   
            Efi S. Antoniou and   
                     Jouni Kuha   Nonparametric Analysis of Factorial
                                  Designs with Random Missingness:
                                  Bivariate Data . . . . . . . . . . . . . 1513--1526
              Dorin Drignei and   
                  Max D. Morris   Empirical Bayesian Analysis for Computer
                                  Experiments Involving Finite-Difference
                                  Codes  . . . . . . . . . . . . . . . . . 1527--1536
             Galin L. Jones and   
               Murali Haran and   
             Brian S. Caffo and   
                   Ronald Neath   Fixed-Width Output Analysis for Markov
                                  Chain Monte Carlo  . . . . . . . . . . . 1537--1547
              Timothy E. Hanson   Inference for Mixtures of Finite Polya
                                  Tree Models  . . . . . . . . . . . . . . 1548--1565
               Yee Whye Teh and   
          Michael I. Jordan and   
            Matthew J. Beal and   
                  David M. Blei   Hierarchical Dirichlet Processes . . . . 1566--1581
            Silvia Centanni and   
                  Marco Minozzo   A Monte Carlo Approach to Filtering for
                                  a Class of Marked Doubly Stochastic
                                  Poisson Processes  . . . . . . . . . . . 1582--1597
              Prabir Burman and   
              Robert H. Shumway   Generalized Exponential Predictors for
                                  Time Series Forecasting  . . . . . . . . 1598--1606
                   Zhiqiang Tan   Regression and Weighting Methods for
                                  Causal Inference Using Instrumental
                                  Variables  . . . . . . . . . . . . . . . 1607--1618
                   Zhiqiang Tan   A Distributional Approach for Causal
                                  Inference Using Propensity Scores  . . . 1619--1637
                     Yu Zhu and   
                      Peng Zeng   Fourier Methods for Estimating the
                                  Central Subspace and the Central Mean
                                  Subspace in Regression . . . . . . . . . 1638--1651
            Barry C. Arnold and   
           Enrique Castillo and   
José María Sarabia   Families of Multivariate Distributions
                                  Involving the Rosenblatt Construction    1652--1662
                 Chang Xuan Mao   Inference on the Number of Species
                                  Through Geometric Lower Bounds . . . . . 1663--1670
                 Lenka Mach and   
            Philip T. Reiss and   
        Ioana \cSchiopu-Kratina   Optimizing the Expected Overlap of
                                  Survey Samples via the Northwest Corner
                                  Rule . . . . . . . . . . . . . . . . . . 1671--1679
               Wilson W. Lu and   
           J. Michael Brick and   
                Randy R. Sitter   Algorithms for Constructing Combined
                                  Strata Variance Estimators . . . . . . . 1680--1692
                Xinlei Wang and   
               Lynne Stokes and   
                  Johan Lim and   
                       Min Chen   Concomitants of Multivariate Order
                                  Statistics With Application to Judgment
                                  Poststratification . . . . . . . . . . . 1693--1704
          Nozer D. Singpurwalla   The Hazard Potential . . . . . . . . . . 1705--1717
          Nozer D. Singpurwalla   The Hazard Potential: Introduction and
                                  Overview . . . . . . . . . . . . . . . . 1705--1717
                      Anonymous   Book Reviews . . . . . . . . . . . . . . 1718--1718
           Steven N. MacEachern   Book Review: \booktitleIntroduction to
                                  Statistical Throught, by Michael Lavine  1719--1719
           Thomas E. Bradstreet   Book Review: \booktitleThe Grammar of
                                  Graphics, by Leland Wilkinson  . . . . . 1719--1720
                    Terry Speed   Book Review: \booktitleStatistics for
                                  Experimenters: Design, Innovation, and
                                  Discovery, by George E. P. Box; J.
                                  Stuart Hunter; William G. Hunter . . . . 1720--1721
                 David H. Annis   Book review: \booktitleKendall's
                                  Advanced Theory of Statistics, Vol. 1:
                                  Distribution Theory, Kendall's Advanced
                                  Theory of Statistics, Vol. 2A: Classical
                                  Inference and the Linear Model, by Alan
                                  Stuart; J. Keith Ord; Steven F. Arnold   1721--1721
               Willis A. Jensen   Book Review: \booktitleIntroduction to
                                  Nonparametric Regression, by Kunio
                                  Takezawa . . . . . . . . . . . . . . . . 1721--1722
                  Yoonkyung Lee   Book Review: \booktitleSemiparametric
                                  Regression, by David Ruppert; M. P.
                                  Wand; R. J. Carroll  . . . . . . . . . . 1722--1723
        Jana Jure\vcková   Book Review: \booktitleQuantile
                                  Regression, by Roger Koenker . . . . . . 1723--1723
            Mary Kathryn Cowles   Book Review: \booktitleGeneralized,
                                  Linear, and Mixed Models, by Charles E.
                                  McCulloch; Shayle R. Searle  . . . . . . 1724--1724
                    Yazhen Wang   Book Review: \booktitleImage Processing
                                  and Jump Regression Analysis, by Peihua
                                  Qiu  . . . . . . . . . . . . . . . . . . 1724--1724
               Edward F. Vonesh   Book Review: \booktitleMixed Models:
                                  Theory and Applications, by Eugene
                                  Demidenko  . . . . . . . . . . . . . . . 1724--1726
                  Zhigang Zhang   Book Review: \booktitleModeling
                                  Longitudinal Data, by Robert E. Weiss    1726--1727
                Jeffrey Douglas   Book Review: \booktitleLinear Models for
                                  Optimal Test Design, by Wim J. Van Der
                                  Linden . . . . . . . . . . . . . . . . . 1727--1727
               Russell V. Lenth   Book Review: \booktitleApplied Adaptive
                                  Statistical Methods: Tests of
                                  Significance and Confidence Intervals,
                                  by Thomas W. O'Gorman  . . . . . . . . . 1727--1728
                  N. H. Bingham   Book Review: \booktitleFunctional
                                  Analysis for Probability and Stochastic
                                  Processes: An Introduction, by Adam
                                  Bobrowski  . . . . . . . . . . . . . . . 1728--1728
                  Jeff M. Allen   Book Review: \booktitleSAS for Monte
                                  Carlo Studies: A Guide for Quantitative
                                  Researchers, by Xitao Fan; Ákos
                                  Fels\Hovályi; Stephen A. Sivo; Sean C.
                                  Keenan . . . . . . . . . . . . . . . . . 1728--1729
             Monica Pratesi and   
                 Nicola Salvati   Book Review: \booktitleMissing Data and
                                  Small-Area Estimation: Modern Analytical
                                  Equipment for the Survey Statistician,
                                  by Nicholas T. Longford  . . . . . . . . 1729--1730
                        M. Last   Book Review: \booktitleKernel Methods
                                  for Pattern Analysis, by John
                                  Shawe-Taylor; Nello Cristianini  . . . . 1730--1730
                Ryan E. Wiegand   Book Review: \booktitleIntroductory
                                  Econometrics: Using Monte Carlo
                                  Simulation With Microsoft Excel, by
                                  Humberto Barreto; Frank M. Howland . . . 1730--1731
                    Wai F. Chiu   Book Review: \booktitleBinomiai Models
                                  in Finance, by John Van Der Hoek; Robert
                                  J. Elliott . . . . . . . . . . . . . . . 1731--1731
     Christine M. Anderson-Cook   Book Review: \booktitleQuantitative Risk
                                  Management: Concepts, Techniques, and
                                  Tools, by Alexander J. McNeil; Rudiger
                                  Frey; Paul Embrechts . . . . . . . . . . 1731--1732
                Ginger M. Davis   Book Review: \booktitleForecasting:
                                  Practice and Process for Demand
                                  Management, by Hans Levenbach; James P.
                                  Cleary . . . . . . . . . . . . . . . . . 1732--1732
                 David H. Annis   Book Review: \booktitleBayesian
                                  Statistics and Marketing, by Peter
                                  Rossi; Greg Allenby; Rob McCulloch . . . 1732--1733
                 Daniel B. Hall   Book Review: \booktitleStatistical
                                  Modelling in Glim4, by Murray Aitkin;
                                  Brian Francis; John Hinde  . . . . . . . 1733--1734
                Debajyoti Sinha   Book Review: \booktitleStatistical
                                  Monitoring of Clinical Trials:
                                  Fundamentals for Investigators, by
                                  Lemuel A. Moyé  . . . . . . . . . . . . . 1734--1734
                  Charles Annis   Book Review: \booktitleHandbook of
                                  Exponential and Related Distributions
                                  for Engineers and Scientists, by Nabendu
                                  Pal; Chun Jin; Wooi K. Lim . . . . . . . 1734--1735
                      Anonymous   Telegraphic Reviews  . . . . . . . . . . 1735--1736
             Daniel B. Hall and   
            Debajyoti Sinha and   
            Michael Sherman and   
                Tapabrata Maiti   Book Review: \booktitleTelegraphic
                                  Reviews  . . . . . . . . . . . . . . . . 1735--1736
                      Anonymous   2006 Editorial Collaborators . . . . . . 1737--1741
                      Anonymous   Back Matter  . . . . . . . . . . . . . . ??
                      Anonymous   Front Matter . . . . . . . . . . . . . . ??
                      Anonymous   Volume Information . . . . . . . . . . . ??


Journal of the American Statistical Association
Volume 102, Number 477, March, 2007

                 Fritz Scheuren   The Pro Bono Statistician  . . . . . . . 1--6
              Kaushik Ghosh and   
                  Ram C. Tiwari   Prediction of U.S. Cancer Mortality
                                  Counts Using Semiparametric Bayesian
                                  Techniques . . . . . . . . . . . . . . . 7--15
           Siem Jan Koopman and   
                Marius Ooms and   
             M. Angeles Carnero   Periodic Seasonal Reg-ARFIMA--GARCH
                                  Models for Daily Electricity Spot Prices 16--27
          David A. Harville and   
              Emmanuel Yashchin   Cost (or Price) Forecasting in the Face
                                  of Technological Advance . . . . . . . . 28--43
             Brian J. Reich and   
            James S. Hodges and   
              Bradley P. Carlin   Spatial Analyses of Periodontal Data
                                  Using Conditionally Autoregressive
                                  Priors Having Two Classes of Neighbor
                                  Relations  . . . . . . . . . . . . . . . 44--55
               Chunfang Jin and   
              Jason P. Fine and   
               Brian S. Yandell   A Unified Semiparametric Framework for
                                  Quantitative Trait Loci Analyses, With
                                  Application to Spike Phenotypes  . . . . 56--67
           Melvin J. Hinich and   
             Apostolos Serletis   Episodic Nonlinear Event Detection in
                                  the Canadian Exchange Rate . . . . . . . 68--74
          Paul R. Rosenbaum and   
            Richard N. Ross and   
              Jeffrey H. Silber   Minimum Distance Matched Sampling With
                                  Fine Balance in an Observational Study
                                  of Treatment for Ovarian Cancer  . . . . 75--83
                  P. Bortot and   
                S. G. Coles and   
                   S. A. Sisson   Inference for Stereological Extremes . . 84--92
                  Bradley Efron   Correlation and Large-Scale Simultaneous
                                  Significance Testing . . . . . . . . . . 93--103
                Huixia Wang and   
                      Xuming He   Detecting Differential Expressions in
                                  GeneChip Microarray Studies  . . . . . . 104--112
                Tiejun Tong and   
                   Yuedong Wang   Optimal Shrinkage Estimation of
                                  Variances With Applications to
                                  Microarray Data Analysis . . . . . . . . 113--122
                Arnab Maity and   
                 Yanyuan Ma and   
             Raymond J. Carroll   Efficient Estimation of Population-Level
                                  Summaries in General Semiparametric
                                  Regression Models  . . . . . . . . . . . 123--139
               Olivia Grigg and   
            David Spiegelhalter   A Simple Risk-Adjusted Exponentially
                                  Weighted Moving Average  . . . . . . . . 140--152
                 Ying Qing Chen   Additive Expectancy Regression . . . . . 153--166
               Donglin Zeng and   
                      D. Y. Lin   Semiparametric Transformation Models
                                  With Random Effects for Recurrent Events 167--180
                     W. Liu and   
                   A. J. Hayter   Minimum Area Confidence Set Optimality
                                  for Confidence Bands in Simple Linear
                                  Regression . . . . . . . . . . . . . . . 181--190
              Paul R. Rosenbaum   Interference Between Units in Randomized
                                  Experiments  . . . . . . . . . . . . . . 191--200
           Rachel MacKay Altman   Mixed Hidden Markov Models . . . . . . . 201--210
                Leilei Zeng and   
                Richard J. Cook   Transition Models for Multivariate
                                  Longitudinal Binary Data . . . . . . . . 211--223
          Yevgen Tymofyeyev and   
     William F. Rosenberger and   
                     Feifang Hu   Implementing Optimal Allocation in
                                  Sequential Binary Response Experiments   224--234
                   Yujun Wu and   
             Dennis D. Boos and   
           Leonard A. Stefanski   Controlling Variable Selection by the
                                  Addition of Pseudovariables  . . . . . . 235--243
             Prasad A. Naik and   
                  Peide Shi and   
                 Chih-Ling Tsai   Extending the Akaike Information
                                  Criterion to Mixture Regression Models   244--254
                 Youjuan Li and   
                 Yufeng Liu and   
                         Ji Zhu   Quantile Regression in Reproducing
                                  Kernel Hilbert Spaces  . . . . . . . . . 255--268
                 Yunming Mu and   
                      Xuming He   Power Transformation Toward a Linear
                                  Regression Quantile  . . . . . . . . . . 269--279
            M. Ivette Gomes and   
                  Dinis Pestana   A Sturdy Reduced-Bias Extreme Quantile
                                  (VaR) Estimator  . . . . . . . . . . . . 280--292
             Ming-Yen Cheng and   
                     Liang Peng   Variance Reduction in Multiparameter
                                  Likelihood Models  . . . . . . . . . . . 293--304
               Faming Liang and   
               Chuanhai Liu and   
             Raymond J. Carroll   Stochastic Approximation in Monte Carlo
                                  Computation  . . . . . . . . . . . . . . 305--320
             Montserrat Fuentes   Approximate Likelihood for Large
                                  Irregularly Spaced Spatial Data  . . . . 321--331
             Winfried Stute and   
                 Liugen Xue and   
                     Lixing Zhu   Empirical Likelihood Inference in
                                  Nonlinear Errors-in-Covariables Models
                                  With Validation Data . . . . . . . . . . 332--346
                   Lan Wang and   
                       Annie Qu   Robust Tests in Regression Models With
                                  Omnibus Alternatives and Bounded
                                  Influence  . . . . . . . . . . . . . . . 347--358
           Tilmann Gneiting and   
              Adrian E. Raftery   Strictly Proper Scoring Rules,
                                  Prediction, and Estimation . . . . . . . 359--378
                      Anonymous   Book Reviews . . . . . . . . . . . . . . 379--379
          William (Matt) Briggs   Book review: \booktitleStatistical
                                  Methods in the Atmospheric Sciences  . . 380--380
                      Juri Hinz   Book review: \booktitleWeather
                                  Derivative Valuation: The
                                  Meteorological, Statistical, Financial
                                  and Mathematical Foundations . . . . . . 380--380
                  Paul F. Green   Book review: \booktitleStatistics for
                                  Fission Track Analysis . . . . . . . . . 380--381
                    John Fricks   Book review: \booktitleStochastic
                                  Processes and Models . . . . . . . . . . 381--381
                    Robert Lund   Book review: \booktitleStatistical
                                  Analysis of Stochastic Processes in Time 382--382
              Johanna Neslehova   Book review: \booktitleFractal-Based
                                  Point Processes  . . . . . . . . . . . . 382--383
                James E. Gentle   Book review: \booktitleVertical Density
                                  Representations and Its Applications . . 383--383
                   Alan F. Karr   Book review: \booktitlePartial
                                  Identification of Probability
                                  Distributions  . . . . . . . . . . . . . 383--383
                  Kary L. Myers   Book review: \booktitleA Kalman Filter
                                  Primer . . . . . . . . . . . . . . . . . 384--384
                 John H. Walker   Book review: \booktitleIntroduction to
                                  Regression Modeling  . . . . . . . . . . 384--385
                 Lane A. Eubank   Book review: \booktitleIntroduction to
                                  Linear Models and Statistical Inference  385--386
     Christine M. Anderson-Cook   Book review: \booktitleFunctional
                                  Approach to Optimal Experimental Design  386--386
                   Alan F. Karr   Book review: \booktitleStatistical
                                  Matching: A Frequentist Theory,
                                  Practical Applications and Alternative
                                  Bayesian Approaches  . . . . . . . . . . 386--386
                   Glenn Shafer   Book review: \booktitleScientific
                                  Reasoning: The Bayesian Approach . . . . 387--387
               George Woodworth   Book review: \booktitleModeling in
                                  Medical Decision Making: A Bayesian
                                  Approach . . . . . . . . . . . . . . . . 387--388
                    Paul Havlak   Book review: \booktitleComputational
                                  Genome Analysis: An Introduction . . . . 388--388
                  J. Wade Davis   Book review: \booktitleBioinformatics
                                  and Computational Biology Solutions
                                  Using R and Bioconductor . . . . . . . . 388--389
                  Greg Ridgeway   Book review: \booktitleAll of
                                  Nonparametric Statistics . . . . . . . . 389--389
                Jane L. Harvill   Book review: \booktitleAnalysis of
                                  Integrated and Co-Integrated Time Series
                                  With R . . . . . . . . . . . . . . . . . 389--390
               David Brownstone   Book review: \booktitleApplied Choice
                                  Analysis: A Primer . . . . . . . . . . . 390--390
                      Anonymous   Telegraphic Reviews  . . . . . . . . . . 391--393
                Stuart G. Baker   Letter to the Editor . . . . . . . . . . 394--394

Journal of the American Statistical Association
Volume 102, Number 478, June, 2007

          Sallie Keller-McNulty   From Data to Policy  . . . . . . . . . . 395--399
            Jean D. Opsomer and   
              F. Jay Breidt and   
         Gretchen G. Moisen and   
           Göran Kauermann   Model-Assisted Estimation of Forest
                                  Resources With Generalized Additive
                                  Models . . . . . . . . . . . . . . . . . 400--409
                  David Ruppert   Comment: Model-Assisted Estimation of
                                  Forest Resources With Generalized
                                  Additive Models  . . . . . . . . . . . . 409--411
              Mary C. Christman   Comment: Model-Assisted Estimation of
                                  Forest Resources With Generalized
                                  Additive Models  . . . . . . . . . . . . 411--412
             Roderick J. Little   Comment: Model-Assisted Estimation of
                                  Forest Resources With Generalized
                                  Additive Models  . . . . . . . . . . . . 412--415
            Jean D. Opsomer and   
              F. Jay Breidt and   
         Gretchen G. Moisen and   
           Göran Kauermann   Rejoinder: Model-Assisted Estimation of
                                  Forest Resources With Generalized
                                  Additive Models  . . . . . . . . . . . . 415--416
              Michael Smith and   
                Ludwig Fahrmeir   Spatial Bayesian Variable Selection With
                                  Application to Functional Magnetic
                                  Resonance Imaging  . . . . . . . . . . . 417--431
              Brent Kreider and   
                 John V. Pepper   Disability and Employment  . . . . . . . 432--441
               F. Dubois Bowman   Spatiotemporal Models for Region of
                                  Interest Analyses of Functional
                                  Neuroimaging Data  . . . . . . . . . . . 442--453
         Kristin N. Javaras and   
                Brian D. Ripley   An ``Unfolding'' Latent Variable Model
                                  for Likert Attitude Data . . . . . . . . 454--463
          Jeffrey S. Spence and   
         Patrick S. Carmack and   
           Richard F. Gunst and   
        William R. Schucany and   
          Wayne A. Woodward and   
                Robert W. Haley   Accounting for Spatial Dependence in the
                                  Analysis of SPECT Brain Imaging Data . . 464--473
  Trivellore E. Raghunathan and   
                  Dawei Xie and   
         Nathaniel Schenker and   
             Van L. Parsons and   
           William W. Davis and   
              Kevin W. Dodd and   
                  Eric J. Feuer   Combining Information From Two Surveys
                                  to Estimate County-Level Prevalence
                                  Rates of Cancer Risk Factors and
                                  Screening  . . . . . . . . . . . . . . . 474--486
          Peter H. Westfall and   
              Randall D. Tobias   Multiple Testing of General Contrasts    487--494
                Jiashun Jin and   
                    T. Tony Cai   Estimating the Null and the Proportion
                                  of Nonnull Effects in Large-Scale
                                  Multiple Comparisons . . . . . . . . . . 495--506
                 Chris Hans and   
               Adrian Dobra and   
                      Mike West   Shotgun Stochastic Search for ``Large
                                  $p$'' Regression . . . . . . . . . . . . 507--516
              David B. Dahl and   
              Michael A. Newton   Multiple Hypothesis Testing by
                                  Clustering Treatment Effects . . . . . . 517--526
                 Hajime Uno and   
                 Tianxi Cai and   
                    Lu Tian and   
                      L. J. Wei   Evaluating Prediction Rules for $t$-Year
                                  Survivors With Censored Regression
                                  Models . . . . . . . . . . . . . . . . . 527--537
                Jianwen Cai and   
               Jianqing Fan and   
            Jiancheng Jiang and   
                     Haibo Zhou   Partially Linear Hazard Regression for
                                  Multivariate Survival Data . . . . . . . 538--551
                   Glenn Heller   Smoothed Rank Regression With Censored
                                  Data . . . . . . . . . . . . . . . . . . 552--559
               Freda Cooner and   
           Sudipto Banerjee and   
          Bradley P. Carlin and   
                Debajyoti Sinha   Flexible Cure Rate Modeling Under Latent
                                  Activation Schemes . . . . . . . . . . . 560--572
          Bryan E. Shepherd and   
           Peter B. Gilbert and   
                  Thomas Lumley   Sensitivity Analyses Comparing
                                  Time-to-Event Outcomes Existing Only in
                                  a Subset Selected Postrandomization  . . 573--582
                Lifeng Wang and   
                  Xiaotong Shen   On $L_1$-Norm Multiclass Support Vector
                                  Machines . . . . . . . . . . . . . . . . 583--594
             Hock Peng Chan and   
             Nancy Ruonan Zhang   Scan Statistics With Weighted
                                  Observations . . . . . . . . . . . . . . 595--602
                Marc Hallin and   
                  Roman Li\vska   Determining the Number of Factors in the
                                  General Dynamic Factor Model . . . . . . 603--617
               Jianqing Fan and   
               Yingying Fan and   
                Jiancheng Jiang   Dynamic Integration of Time- and
                                  State-Domain Methods for Volatility
                                  Estimation . . . . . . . . . . . . . . . 618--631
               Jianqing Fan and   
                  Tao Huang and   
                       Runze Li   Analysis of Longitudinal Data With
                                  Semiparametric Estimation of Covariance
                                  Function . . . . . . . . . . . . . . . . 632--641
                 Liugen Xue and   
                     Lixing Zhu   Empirical Likelihood for a Varying
                                  Coefficient Model With Longitudinal Data 642--654
                   J. P. Morgan   Optimal Incomplete Block Designs . . . . 655--663
                     Yan Li and   
                      P. Lahiri   Robust Model-Based and Model-Assisted
                                  Predictors of the Finite Population
                                  Total  . . . . . . . . . . . . . . . . . 664--673
                  Peter D. Hoff   Model Averaging and Dimension Selection
                                  for the Singular Value Decomposition . . 674--685
              Pranab K. Sen and   
             Ming-Tien Tsai and   
                   Yuh-Shan Jou   High-Dimension, Low-Sample Size
                                  Perspectives in Constrained Statistical
                                  Inference  . . . . . . . . . . . . . . . 686--694
            G. J. A. Amaral and   
               I. L. Dryden and   
              Andrew T. A. Wood   Pivotal Bootstrap Methods for $k$-Sample
                                  Problems in Directional Statistics and
                                  Shape Analysis . . . . . . . . . . . . . 695--707
                 Jesse Frey and   
                Omer Ozturk and   
            Jayant V. Deshpande   Nonparametric Tests for Perfect Judgment
                                  Rankings . . . . . . . . . . . . . . . . 708--717
             Ilya Gluhovsky and   
            Alexander Gluhovsky   Smooth Location-Dependent Bandwidth
                                  Selection for Local Polynomial
                                  Regression . . . . . . . . . . . . . . . 718--725
               Hae Kyung Im and   
           Michael L. Stein and   
                  Zhengyuan Zhu   Semiparametric Estimation of Spectral
                                  Density With Irregular Observations  . . 726--735
                      Bo Li and   
             Marc G. Genton and   
                Michael Sherman   A Nonparametric Assessment of Properties
                                  of Space--Time Covariance Functions  . . 736--744
                     Peihua Qiu   Jump Surface Estimation, Edge Detection,
                                  and Image Restoration  . . . . . . . . . 745--756
                      Anonymous   Book Reviews . . . . . . . . . . . . . . 757--757
                    Brian Caffo   Book review: \booktitleA First Course in
                                  Monte Carlo  . . . . . . . . . . . . . . 758--758
                 Alexandra Dias   Book review: \booktitleSimulation
                                  Techniques in Financial Risk Management  758--759
                        M. Last   Book review: \booktitlePattern
                                  Recognition Algorithms for Data Mining   759--759
                 David E. Tyler   Book review: \booktitleRobust
                                  Statistical Methods with R . . . . . . . 759--760
     Christine M. Anderson-Cook   Book review: \booktitleGeneralized
                                  Additive Models: An Introduction With R  760--761
         Ciprian M. Crainiceanu   Book review: \booktitleNonparametric
                                  Regression Methods for Longitudinal Data
                                  Analysis. Mixed-effects Modeling
                                  Approaches . . . . . . . . . . . . . . . 761--761
         William E. Strawderman   Book review: \booktitleTheory of
                                  Preliminary Test and Stein-Type
                                  Estimation With Applications . . . . . . 762--762
              Thomas R. Boucher   Book review: \booktitleTest Equating,
                                  Scaling, and Linking: Methods and
                                  Practices  . . . . . . . . . . . . . . . 762--763
                  Tore Schweder   Book review: \booktitleAdvanced Distance
                                  Sampling: Estimating Abundance of
                                  Biological Populations . . . . . . . . . 763--764
                 James G. Booth   Book review: \booktitleExact Analysis of
                                  Discrete Data  . . . . . . . . . . . . . 764--765
     Christine M. Anderson-Cook   Book review: \booktitleA Modern Theory
                                  of Factorial Design  . . . . . . . . . . 765--765
           Thorsten Rheinlander   Book review: \booktitleIntroductory
                                  Stochastic Analysis for Finance and
                                  Insurance  . . . . . . . . . . . . . . . 765--766
                 Filip Lindskog   Book review: \booktitleMeasures,
                                  Integrals and Martingales  . . . . . . . 766--766
                Mitchell Watnik   Book review: \booktitleAdvanced
                                  Statistics From an Elementary Point of
                                  View . . . . . . . . . . . . . . . . . . 766--767
                   Webster West   Book review: \booktitleApplied
                                  Statistics for Engineers and Scientists  767--767
                Debajyoti Sinha   Book review: \booktitleBiostatistics: a
                                  Bayesian Introduction  . . . . . . . . . 767--768
                      Anonymous   Telegraphic Reviews  . . . . . . . . . . 768--769

Journal of the American Statistical Association
Volume 102, Number 479, September, 2007

       Ana Grohovac Rappold and   
             Michael Lavine and   
                   Susan Lozier   Subjective Likelihood for the Assessment
                                  of Trends in the Ocean's Mixed-Layer
                                  Depth  . . . . . . . . . . . . . . . . . 771--780
               Robert N. Miller   Comment: Subjective Likelihood for the
                                  Assessment of Trends in the Ocean's
                                  Mixed-Layer Depth  . . . . . . . . . . . 780--781
               Joseph B. Kadane   Comment: Subjective Likelihood for the
                                  Assessment of Trends in the Ocean's
                                  Mixed-Layer Depth  . . . . . . . . . . . 781--782
              Robert L. Wolpert   Comment: Subjective Likelihood for the
                                  Assessment of Trends in the Ocean's
                                  Mixed-Layer Depth  . . . . . . . . . . . 782--784
       Ana Grohovac Rappold and   
             Michael Lavine and   
                   Susan Lozier   Rejoinder: Subjective Likelihood for the
                                  Assessment of Trends in the Ocean's
                                  Mixed-Layer Depth  . . . . . . . . . . . 785--787
                  Wendy Meiring   Oscillations and Time Trends in
                                  Stratospheric Ozone Levels . . . . . . . 788--802
              F. Jay Breidt and   
               Nan-Jung Hsu and   
                   Stephen Ogle   Semiparametric Mixed Models for
                                  Increment-Averaged Data With Application
                                  to Carbon Sequestration in Agricultural
                                  Soils  . . . . . . . . . . . . . . . . . 803--812
              Andrew Gelman and   
              Jeffrey Fagan and   
                      Alex Kiss   An Analysis of the New York City Police
                                  Department's ``Stop-and-Frisk'' Policy
                                  in the Context of Claims of Racial Bias  813--823
              Daniel Cooley and   
             Douglas Nychka and   
                Philippe Naveau   Bayesian Spatial Modeling of Extreme
                                  Precipitation Return Levels  . . . . . . 824--840
                     Ta-Hsin Li   A Statistical Framework of Optimal
                                  Workload Consolidation With Application
                                  to Capacity Planning for On-Demand
                                  Computing  . . . . . . . . . . . . . . . 841--855
           Brent A. Johnson and   
             Amy H. Herring and   
          Joseph G. Ibrahim and   
           Anna Maria Siega-Riz   Structured Measurement Error in
                                  Nutritional Epidemiology . . . . . . . . 856--866
              Mayetri Gupta and   
              Joseph G. Ibrahim   Variable Selection in Regression Mixture
                                  Modeling for the Discovery of Gene
                                  Regulatory Networks  . . . . . . . . . . 867--880
                    Lu Tian and   
                 Jun S. Liu and   
                      L. J. Wei   Implementation of Estimating
                                  Function-Based Inference Procedures With
                                  Markov Chain Monte Carlo Samplers  . . . 881--888
                  Xuming He and   
                     Feifang Hu   Comment: Implementation of Estimating
                                  Function-Based Inference Procedures With
                                  Markov Chain Monte Carlo Samplers  . . . 889--890
        John D. Kalbfleisch and   
                    Wenyu Jiang   Comment: Implementation of Estimating
                                  Function-Based Inference Procedures With
                                  Markov Chain Monte Carlo Samplers  . . . 890--893
          Joseph G. Ibrahim and   
                     Hongtu Zhu   Comment: Implementation of Estimating
                                  Function-Based Inference Procedures With
                                  Markov Chain Monte Carlo Samplers  . . . 893--893
         Michael R. Kosorok and   
                  Jason P. Fine   Comment: Implementation of Estimating
                                  Function-Based Inference Procedures With
                                  Markov Chain Monte Carlo Samplers  . . . 896--897
                    Lu Tian and   
                    Jun Liu and   
                      L. J. Wei   Rejoinder: Implementation of Estimating
                                  Function-Based Inference Procedures With
                                  Markov Chain Monte Carlo Samplers  . . . 897--900
               Wenguang Sun and   
                    T. Tony Cai   Oracle and Adaptive Compound Decision
                                  Rules for False Discovery Rate Control   901--912
         Jonathan E. Taylor and   
               Keith J. Worsley   Detecting Sparse Signals in Random
                                  Fields, With an Application to Brain
                                  Mapping  . . . . . . . . . . . . . . . . 913--928
                Jianxin Shi and   
             David Siegmund and   
                    Benny Yakir   Importance Sampling for Estimating $p$
                                  Values in Linkage Analysis . . . . . . . 929--937
                Marc Hallin and   
               Abdessamad Saidi   Optimal Tests of Noncorrelation Between
                                  Multivariate Time Series . . . . . . . . 938--951
                Duchwan Ryu and   
            Debajyoti Sinha and   
               Bani Mallick and   
          Stuart R. Lipsitz and   
            Steven E. Lipshultz   Longitudinal Studies With
                                  Outcome-Dependent Follow-up  . . . . . . 952--961
               Xiaohui Wang and   
             Shubhankar Ray and   
                Bani K. Mallick   Bayesian Curve Classification Using
                                  Wavelets . . . . . . . . . . . . . . . . 962--973
                  Yichao Wu and   
                     Yufeng Liu   Robust Truncated Hinge Loss Support
                                  Vector Machines  . . . . . . . . . . . . 974--983
            Philip T. Reiss and   
                  R. Todd Ogden   Functional Principal Component
                                  Regression and Functional Partial Least
                                  Squares  . . . . . . . . . . . . . . . . 984--996
                    Bing Li and   
                    Shaoli Wang   On Directional Regression for Dimension
                                  Reduction  . . . . . . . . . . . . . . . 997--1008
           Hsin-Cheng Huang and   
                  Chun-Shu Chen   Optimal Geostatistical Model Selection   1009--1024
              Abbas Khalili and   
                    Jiahua Chen   Variable Selection in Finite Mixture of
                                  Regression Models  . . . . . . . . . . . 1025--1038
              Hansheng Wang and   
                   Chenlei Leng   Unified LASSO Estimation by Least
                                  Squares Approximation  . . . . . . . . . 1039--1048
                 Dylan S. Small   Sensitivity Analysis for Instrumental
                                  Variables Regression With
                                  Overidentifying Restrictions . . . . . . 1049--1058
              Maengseok Noh and   
                    Youngjo Lee   Robust Modeling for Inference From
                                  Generalized Linear Model Classes . . . . 1059--1072
                      Anonymous   Book Reviews . . . . . . . . . . . . . . 1073--1073
               Joseph Cavanaugh   Book review: \booktitleEncyclopedia of
                                  Statistical Sciences . . . . . . . . . . 1074--1075
               Vincent J. Carey   Book review: \booktitleLongitudinal Data
                                  Analysis . . . . . . . . . . . . . . . . 1075--1075
                  Anil K. Ghosh   Book review: \booktitleApplied MANOVA
                                  and Discriminant Analysis  . . . . . . . 1075--1076
                 Fritz Scheuren   Book review: \booktitleStatistical
                                  Matching: Theory and Practice  . . . . . 1076--1077
                 Mark Greenwood   Book review: \booktitleNonparametric
                                  Functional Data Analysis: Theory and
                                  Practice . . . . . . . . . . . . . . . . 1077--1077
               Martin Schlather   Book review: \booktitlePoint Process
                                  Theory and Applications: Marked Point
                                  and Piecewise Deterministic Processes    1077--1078
              Peter C. Kiessler   Book review: \booktitleMeasure Theory
                                  and Probability Theory . . . . . . . . . 1078--1078
              Charles M. Goldie   Book review: \booktitleProbabilistic
                                  Symmetries and Invariance Principles . . 1078--1079
                    Robert Lund   Book review: \booktitleTime Series
                                  Analysis and Its Applications: With R
                                  Examples . . . . . . . . . . . . . . . . 1079--1079
            Mary Kathryn Cowles   Book review: \booktitleAutomatic
                                  Nonuniform Random Variate Generation . . 1079--1080
                    Bryan Manly   Book review: \booktitleUsing Statistical
                                  Methods for Water Quality Management:
                                  Issues, Problems, and Solutions  . . . . 1080--1080
                      Anonymous   Telegraphic Reviews  . . . . . . . . . . 1080--1083

Journal of the American Statistical Association
Volume 102, Number 480, December, 2007

                 Hongtu Zhu and   
               Heping Zhang and   
          Joseph G. Ibrahim and   
            Bradley S. Peterson   Statistical Analysis of Diffusion
                                  Tensors in Diffusion-Weighted Magnetic
                                  Resonance Imaging Data . . . . . . . . . 1085--1102
              Armin Schwartzman   Comment: Statistical Analysis of
                                  Diffusion Tensors in Diffusion-Weighted
                                  Magnetic Resonance Imaging Data  . . . . 1102--1102
                Nicole A. Lazar   Comment: Statistical Analysis of
                                  Diffusion Tensors in Diffusion-Weighted
                                  Magnetic Resonance Imaging Data  . . . . 1105--1105
                 Hongtu Zhu and   
               Heping Zhang and   
          Joseph G. Ibrahim and   
            Bradley S. Peterson   Rejoinder: Statistical Analysis of
                                  Diffusion Tensors in Diffusion-Weighted
                                  Magnetic Resonance Imaging Data  . . . . 1110--1110
              David Kaziska and   
                Anuj Srivastava   Gait-Based Human Recognition by
                                  Classification of Cyclostationary
                                  Processes on Nonlinear Shape Manifolds   1114--1124
                Kanti V. Mardia   Comment: Gait-Based Human Recognition by
                                  Classification of Cyclostationary
                                  Processes on Nonlinear Shape Manifolds   1124--1124
             Rama Chellappa and   
            Ashok Veeraraghavan   Comment: Gait-Based Human Recognition by
                                  Classification of Cyclostationary
                                  Processes on Nonlinear Shape Manifolds   1126--1127
           David M. Kaziska and   
                Anuj Srivastava   Rejoinder: Gait-Based Human Recognition
                                  by Classification of Cyclostationary
                                  Processes on Nonlinear Shape Manifolds   1127--1127
                 Peihua Qiu and   
                    Jingran Sun   Local Smoothing Image Segmentation for
                                  Spotted Microarray Images  . . . . . . . 1129--1144
               Peter Bouman and   
               Xiao-Li Meng and   
               James Dignam and   
                  Vanja Duki\'c   A Multiresolution Hazard Model for
                                  Multicenter Survival Studies . . . . . . 1145--1157
                     Bo Cai and   
                David B. Dunson   Bayesian Multivariate Isotonic
                                  Regression Splines . . . . . . . . . . . 1158--1171
           Andrew J. Patton and   
               Allan Timmermann   Testing Forecast Optimality Under
                                  Unknown Loss . . . . . . . . . . . . . . 1172--1184
          Jonathan Weinberg and   
          Lawrence D. Brown and   
             Jonathan R. Stroud   Bayesian Forecasting of an Inhomogeneous
                                  Poisson Process With Applications to
                                  Call Center Data . . . . . . . . . . . . 1185--1198
                Kosuke Imai and   
                   Samir Soneji   On the Estimation of Disability-Free
                                  Life Expectancy  . . . . . . . . . . . . 1199--1211
         Shyamal D. Peddada and   
             Gregg E. Dinse and   
              Grace E. Kissling   Incorporating Historical Control Data
                                  When Comparing Tumor Incidence Rates . . 1212--1220
              Sujit K. Sahu and   
            Alan E. Gelfand and   
               David M. Holland   High-Resolution Space--Time Ozone
                                  Modeling for Assessing Trends  . . . . . 1221--1234
                    Yu Shen and   
                   Jing Qin and   
           Joseph P. Costantino   Inference of Tamoxifen's Effects on
                                  Prevention of Breast Cancer From a
                                  Randomized Controlled Trial  . . . . . . 1235--1244
               Hanwen Huang and   
                    Fei Zou and   
                 Fred A. Wright   Bayesian Analysis of Frequency of
                                  Allelic Loss Data  . . . . . . . . . . . 1245--1253
               Micha Mandel and   
          Susan A. Gauthier and   
     Charles R. G. Guttmann and   
           Howard L. Weiner and   
            Rebecca A. Betensky   Estimating Time to Event From
                                  Longitudinal Categorical Data  . . . . . 1254--1266
               J. S. Marron and   
            Michael J. Todd and   
                  Jeongyoun Ahn   Distance-Weighted Discrimination . . . . 1267--1271
             Yoav Benjamini and   
                    Ruth Heller   False Discovery Rates for Spatial
                                  Signals  . . . . . . . . . . . . . . . . 1272--1281
               Jianqing Fan and   
                 Peter Hall and   
                      Qiwei Yao   To How Many Simultaneous Hypothesis
                                  Tests Can Normal, Student's $t$ or
                                  Bootstrap Calibration Be Applied?  . . . 1282--1288
              Jafar A. Khan and   
           Stefan Van Aelst and   
                 Ruben H. Zamar   Robust Linear Model Selection Based on
                                  Least Angle Regression . . . . . . . . . 1289--1299
               Roland Fried and   
             Jochen Einbeck and   
                  Ursula Gather   Weighted Repeated Median Smoothing and
                                  Filtering  . . . . . . . . . . . . . . . 1300--1308
               Qingxia Chen and   
               Donglin Zeng and   
              Joseph G. Ibrahim   Sieve Maximum Likelihood Estimation for
                                  Regression Models With Covariates
                                  Missing at Random  . . . . . . . . . . . 1309--1317
               Piotr Fryzlewicz   Unbalanced Haar Technique for
                                  Nonparametric Function Estimation  . . . 1318--1327
        Tatyana Krivobokova and   
           Göran Kauermann   A Note on Penalized Spline Smoothing
                                  With Correlated Errors . . . . . . . . . 1328--1337
            Robertas Gabrys and   
                 Piotr Kokoszka   Portmanteau Test of Independence for
                                  Functional Observations  . . . . . . . . 1338--1348
               Jianqing Fan and   
                    Yazhen Wang   Multi-Scale Jump and Volatility Analysis
                                  for High-Frequency Financial Data  . . . 1349--1362
           Christian Genest and   
              Kilani Ghoudi and   
         Bruno Rémillard   Rank-Based Extensions of the Brock,
                                  Dechert, and Scheinkman Test . . . . . . 1363--1376
               Yongtao Guan and   
                    Ji Meng Loh   A Thinned Block Bootstrap Variance
                                  Estimation Procedure for Inhomogeneous
                                  Spatial Point Patterns . . . . . . . . . 1377--1386
               Donglin Zeng and   
                      D. Y. Lin   Efficient Estimation for the Accelerated
                                  Failure Time Model . . . . . . . . . . . 1387--1396
                Jianguo Sun and   
                Liuquan Sun and   
                     Dandan Liu   Regression Analysis of Longitudinal Data
                                  in the Presence of Informative
                                  Observation and Censoring Times  . . . . 1397--1406
                   Yu Cheng and   
              Jason P. Fine and   
             Michael R. Kosorok   Nonparametric Association Analysis of
                                  Bivariate Competing-Risks Data . . . . . 1407--1415
            Aurore Delaigle and   
              Alexander Meister   Nonparametric Regression Estimation in
                                  the Heteroscedastic Errors-in-Variables
                                  Problem  . . . . . . . . . . . . . . . . 1416--1426
          Danny Pfeffermann and   
              Michail Sverchkov   Small-Area Estimation Under Informative
                                  Probability Sampling of Areas and Within
                                  the Selected Areas . . . . . . . . . . . 1427--1439
       Steven N. MacEachern and   
                 Youlan Rao and   
                     Chunjie Wu   A Robust-Likelihood Cumulative Sum Chart 1440--1447
               Ying Kuen Cheung   Sequential Implementation of Stepwise
                                  Procedures for Identifying the Maximum
                                  Tolerated Dose . . . . . . . . . . . . . 1448--1461
           Jerome P. Reiter and   
      Trivellore E. Raghunathan   The Multiple Adaptations of Multiple
                                  Imputation . . . . . . . . . . . . . . . 1462--1471
                      Anonymous   Book Reviews . . . . . . . . . . . . . . 1472--1472
                 Daniel B. Hall   Book review: \booktitleModels for
                                  Intensive Longitudinal Data  . . . . . . 1473--1473
                   Do-Hwan Park   Book review: \booktitleThe Statistical
                                  Analysis of Interval-Censored Failure
                                  Time Data  . . . . . . . . . . . . . . . 1473--1474
             Tathagata Banerjee   Book review: \booktitleIntroductory
                                  Statistical Inference  . . . . . . . . . 1474--1474
                Debajyoti Sinha   Book review: \booktitleDynamic
                                  Regression Models for Survival Data  . . 1474--1474
                  J. Wade Davis   Book review: \booktitleDNA, Words and
                                  Models: Statistics of Exceptional Words  1475--1475
               Christian Genest   Book review: \booktitleReliability and
                                  Risk: A Bayesian Perspective . . . . . . 1475--1475
                Louis N. Ntasin   Book review: \booktitleOperational
                                  Risks: Modeling Analytics  . . . . . . . 1475--1476
              Peter C. Kiessler   Book review: \booktitleProbabilistic
                                  Applications of Tauberian Theorems . . . 1476--1476
              Daren B. H. Cline   Book review: \booktitleStochastic
                                  Processes in Science, Engineering, and
                                  Finance  . . . . . . . . . . . . . . . . 1476--1477
                Colin Gallagher   Book review: \booktitleExtending the
                                  Linear Model With R: Generalized Linear,
                                  Mixed Effects and Nonparametric
                                  Regression Models  . . . . . . . . . . . 1477--1477
                Mevin B. Hooten   Book review: \booktitleStatistical
                                  Analysis of Environmental Space--time
                                  Processes  . . . . . . . . . . . . . . . 1477--1477
                        M. Last   Book review: \booktitleAnalysis of
                                  Phylogenetics and Evolution With R.
                                  Emmanuel Paradis . . . . . . . . . . . . 1477--1478
                Angelo J. Canty   Book review: \booktitleBootstrap
                                  Techniques for Signal Processing . . . . 1478--1479
             Christopher Assaid   Book review: \booktitleThe Theory of
                                  Response-Adaptive Randomization in
                                  Clinical Trials  . . . . . . . . . . . . 1479--1479
            Alexander J. McNeil   Book review: \booktitleLatent Curve
                                  Models: A Structural Equation Approach   1479--1481
                     Ben Alamar   Book review: \booktitleSocial Choice
                                  With Partial Knowledge of Treatment
                                  Response . . . . . . . . . . . . . . . . 1481--1481
                      Anonymous   Telegraphic Reviews  . . . . . . . . . . 1481--1484
             Witold Bednorz and   
        Krzysztof Latuszy\'nski   A Few Remarks on \em ``Fixed-Width
                                  Output Analysis for Markov Chain Monte
                                  Carlo'' by Jones et al . . . . . . . . . 1485--1486
                      Anonymous   2007 Editorial Collaborators . . . . . . 1487--1491


Journal of the American Statistical Association
Volume 103, Number 481, March, 2008

                   S. L. Zabell   On Student's 1908 Article \em ``The
                                  Probable Error of a Mean'' . . . . . . . 1--7
             Stephen M. Stigler   Comment: On Student's 1908 Article \em
                                  ``The Probable Error of a Mean'' . . . . 7--8
                   John Aldrich   Comment: On Student's 1908 Article \em
                                  ``The Probable Error of a Mean'' . . . . 8--11
               A. W. F. Edwards   Comment: On Student's 1908 Article \em
                                  ``The Probable Error of a Mean'' . . . . 11--13
                  Eugene Seneta   Comment: On Student's 1908 Article \em
                                  ``The Probable Error of a Mean'' . . . . 13--15
             Persi Diaconis and   
                  Erich Lehmann   Comment: On Student's 1908 Article \em
                                  ``The Probable Error of a Mean'' . . . . 16--19
                   S. L. Zabell   Rejoinder: On Student's 1908 Article \em
                                  ``The Probable Error of a Mean'' . . . . 19--20
     Ciprian M. Crainiceanu and   
            Peter J. Diggle and   
               Barry Rowlingson   Bivariate Binomial Spatial Modeling of
                                  \em Loa loa Prevalence in Tropical
                                  Africa . . . . . . . . . . . . . . . . . 21--37
        Christopher J. Paciorek   Comment: Bivariate Binomial Spatial
                                  Modeling of \em Loa loa Prevalence in
                                  Tropical Africa  . . . . . . . . . . . . 37--40
                David B. Dunson   Comment: Bivariate Binomial Spatial
                                  Modeling of \em Loa loa Prevalence in
                                  Tropical Africa  . . . . . . . . . . . . 40--41
           Madeleine C. Thomson   Comment: Bivariate Binomial Spatial
                                  Modeling of \em Loa loa Prevalence in
                                  Tropical Africa  . . . . . . . . . . . . 42--43
     Ciprian M. Crainiceanu and   
            Peter J. Diggle and   
               Barry Rowlingson   Rejoinder: Bivariate Binomial Spatial
                                  Modeling of \em Loa loa Prevalence in
                                  Tropical Africa  . . . . . . . . . . . . 43--43
               Heping Zhang and   
                Yuanqing Ye and   
               Peter Diggle and   
                       Jian Shi   Joint Modeling of Time Series Measures
                                  and Recurrent Events and Analysis of the
                                  Effects of Air Quality on Respiratory
                                  Symptoms . . . . . . . . . . . . . . . . 48--60
             Paul S. Albert and   
                   Lori E. Dodd   On Estimating Diagnostic Accuracy From
                                  Studies With Multiple Raters and Partial
                                  Gold Standard Evaluation . . . . . . . . 61--73
         Robert A. Connolly and   
      Richard J. Rendleman, Jr.   Skill, Luck, and Streaky Play on the PGA
                                  Tour . . . . . . . . . . . . . . . . . . 74--88
             Chiara Sabatti and   
                  Kenneth Lange   Bayesian Gaussian Mixture Models for
                                  High-Density Genotyping Arrays . . . . . 89--100
                    Hui Jin and   
                Donald B. Rubin   Principal Stratification for Causal
                                  Inference With Extended Partial
                                  Compliance . . . . . . . . . . . . . . . 101--111
                  Yufeng Tu and   
            Michael O. Ball and   
               Wolfgang S. Jank   Estimating Flight Departure Delay
                                  Distributions --- a Statistical Approach
                                  With Long-Term Trend and Short-Term
                                  Pattern  . . . . . . . . . . . . . . . . 112--125
           Arthur van Soest and   
                   Michael Hurd   A Test for Anchoring and Yea-Saying in
                                  Experimental Consumption Data  . . . . . 126--136
        Catherine A. Calder and   
    Christopher H. Holloman and   
         Steven M. Bortnick and   
             Warren Strauss and   
                 Michele Morara   Relating Ambient Particulate Matter
                                  Concentration Levels to Mortality Using
                                  an Exposure Simulator  . . . . . . . . . 137--148
              Christel Faes and   
                Helena Geys and   
          Geert Molenberghs and   
                 Marc Aerts and   
Carmen Cadarso-Suárez and   
        Carlos Acuña and   
             Mónica Cano   A Flexible Method to Measure Synchrony
                                  in Neuronal Firing . . . . . . . . . . . 149--161
                    Jun Zhu and   
         Jakob G. Rasmussen and   
       Jesper Mòller and   
            Brian H. Aukema and   
               Kenneth F. Raffa   Spatial-Temporal Modeling of Forest Gaps
                                  Generated by Colonization From Below-
                                  and Above-Ground Bark Beetle Species . . 162--177
                Menggang Yu and   
        Jeremy M. G. Taylor and   
              Howard M. Sandler   Individual Prediction in Prostate Cancer
                                  Studies Using a Joint Longitudinal
                                  Survival--Cure Model . . . . . . . . . . 178--187
            Shane T. Jensen and   
                     Jun S. Liu   Bayesian Clustering of Transcription
                                  Factor Binding Motifs  . . . . . . . . . 188--200
                 Haiqun Lin and   
                Ziding Feng and   
                     Yan Yu and   
               Yingye Zheng and   
        Narayan Shivapurkar and   
                  Adi F. Gazdar   Application of Multidimensional
                                  Selective Item Response Regression Model
                                  for Studying Multiple Gene Methylation
                                  in SV40 Oncogenic Pathways . . . . . . . 201--211
       Dankmar Böhning and   
               Valentin Patilea   A Capture--Recapture Approach for
                                  Screening Using Two Diagnostic Tests
                                  With Availability of Disease Status for
                                  the Test Positives Only  . . . . . . . . 212--221
            Ollivier Hyrien and   
                 Martin S. Zand   A Mixture Model With Dependent
                                  Observations for the Analysis of
                                  CSFE-Labeling Experiments  . . . . . . . 222--239
          Paul R. Rosenbaum and   
              Jeffrey H. Silber   Aberrant Effects of Treatment  . . . . . 240--247
            David R. Hunter and   
         Steven M. Goodreau and   
               Mark S. Handcock   Goodness of Fit of Social Network Models 248--258
         Lurdes Y. T. Inoue and   
               Ruth Etzioni and   
        Christopher Morrell and   
              Peter Müller   Modeling Disease Progression With
                                  Longitudinal Markers . . . . . . . . . . 259--270
             Dylan S. Small and   
         Thomas R. Ten Have and   
              Paul R. Rosenbaum   Randomization Inference in a
                                  Group-Randomized Trial of Treatments for
                                  Depression . . . . . . . . . . . . . . . 271--279
            Aurore Delaigle and   
                     Peter Hall   Using SIMEX for Smoothing-Parameter
                                  Choice in Errors-in-Variables Problems   280--287
              Hovav A. Dror and   
             David M. Steinberg   Sequential Experimental Designs for
                                  Generalized Linear Models  . . . . . . . 288--298
               Martin Posch and   
               Andreas Futschik   A Uniform Improvement of Bonferroni-Type
                                  Tests by Sequential Tests  . . . . . . . 299--308
               Daniel Yekutieli   Hierarchical False Discovery
                                  Rate--Controlling Methodology  . . . . . 309--316
            David B. Dunson and   
                     Ya Xue and   
                 Lawrence Carin   The Matrix Stick-Breaking Process  . . . 317--327
          Donatello Telesca and   
             Lurdes Y. T. Inoue   Bayesian Hierarchical Curve Registration 328--339
                David I. Warton   Penalized Normal Likelihood and Ridge
                                  Regularization of Correlation and
                                  Covariance Matrices  . . . . . . . . . . 340--349
          Daniel J. Nordman and   
           Petru\cta C. Caragea   Point and Interval Estimation of
                                  Variogram Models Using Spatial Empirical
                                  Likelihood . . . . . . . . . . . . . . . 350--361
               Yingye Zheng and   
                 Tianxi Cai and   
           Margaret S. Pepe and   
                  Wayne C. Levy   Time-Dependent Predictive Values of
                                  Prognostic Biomarkers With Failure Time
                                  Outcome  . . . . . . . . . . . . . . . . 362--368
               Jianwei Chen and   
                       Hulin Wu   Efficient Local Estimation for
                                  Time-Varying Coefficients in
                                  Deterministic Dynamic Models With
                                  Applications to HIV-1 Dynamics . . . . . 369--384
                   Kenneth Rice   Equivalence Between Conditional and
                                  Random-Effects Likelihoods for
                                  Pair-Matched Case-Control Studies  . . . 385--396
                       Ying Wei   An Approach to Multivariate
                                  Covariate-Dependent Quantile Contours
                                  With Application to Bivariate
                                  Conditional Growth Charts  . . . . . . . 397--409
                 Feng Liang and   
                  Rui Paulo and   
              German Molina and   
           Merlise A. Clyde and   
                  Jim O. Berger   Mixtures of g Priors for Bayesian
                                  Variable Selection . . . . . . . . . . . 410--423
                      Anonymous   Book Reviews . . . . . . . . . . . . . . 424--424
                Jane L. Harvill   Book review: \booktitleEssentials of
                                  Statistical Inference  . . . . . . . . . 425--426
     Christine M. Anderson-Cook   Book review: \booktitleModern
                                  Experimental Design  . . . . . . . . . . 426--427
                 Daniel B. Hall   Book review: \booktitleMeasurement Error
                                  in Nonlinear Models: A Modern
                                  Perspective  . . . . . . . . . . . . . . 427--427
             Gregory E. Gilbert   Book review: \booktitleLinear Mixed
                                  Models: A Practical Guide Using
                                  Statistical Software . . . . . . . . . . 427--428
              Ralf Münnich   Book review: \booktitleSampling
                                  Algorithms . . . . . . . . . . . . . . . 428--429
        Songthip T. Ounpraseuth   Book review: \booktitleGaussian
                                  Processes for Machine Learning . . . . . 429--429
                    Yuhong Yang   Book review: \booktitleElements of
                                  Information Theory . . . . . . . . . . . 429--429
                  Maria Vlasiou   Book review: \booktitleA Course on
                                  Queueing Models  . . . . . . . . . . . . 429--430
              Peter C. Kiessler   Book review: \booktitleStochastic
                                  Switching Systems: Analysis and Design   430--430
       Somesh Chattopadhyay and   
             Thomas Hammerstrom   Book review: \booktitleStatistical
                                  Monitoring of Clinical Trials: A Unified
                                  Approach . . . . . . . . . . . . . . . . 430--431
                   Yuko Palesch   Book review: \booktitleAdaptive Design
                                  Methods in Clinical Trials . . . . . . . 431--431
                 Andreas Krause   Book review: \booktitlePharmacometrics:
                                  The Science of Quantitative Pharmacology 431--432
                    Rudy Guerra   Book review: \booktitleLikelihood,
                                  Bayesian and MCMC Methods in
                                  Quantitative Genetics  . . . . . . . . . 432--432
              Jarrett J. Barber   Book review: \booktitleBayesian Core: A
                                  Practical Approach to Computational
                                  Bayesian Statistics  . . . . . . . . . . 432--433
                      Anonymous   Telegraphic Reviews  . . . . . . . . . . 433--436

Journal of the American Statistical Association
Volume 103, Number 482, June, 2008

              Andrew Gelman and   
                  Zaiying Huang   Estimating Incumbency Advantage and Its
                                  Variation, as an Example of a
                                  Before--After Study  . . . . . . . . . . 437--446
               Jonathan N. Katz   Comment: Estimating Incumbency Advantage
                                  and Its Variation, as an Example of a
                                  Before--After Study  . . . . . . . . . . 446--448
                James S. Hodges   Comment: Estimating Incumbency Advantage
                                  and Its Variation, as an Example of a
                                  Before--After Study  . . . . . . . . . . 448--449
                  Andrew Gelman   Rejoinder: Estimating Incumbency
                                  Advantage and Its Variation, as an
                                  Example of a Before--After Study . . . . 449--451
          Ralf Van Der Lans and   
                Rik Pieters and   
                   Michel Wedel   Eye-Movement Analysis of Search
                                  Effectiveness  . . . . . . . . . . . . . 452--461
               Julia Y. Lin and   
         Thomas R. Ten Have and   
             Michael R. Elliott   Longitudinal Nested Compliance Class
                                  Model in the Presence of Time-Varying
                                  Noncompliance  . . . . . . . . . . . . . 462--473
                    Qi Long and   
         Roderick J. Little and   
                     Xihong Lin   Causal Inference in Hybrid Intervention
                                  Trials Involving Treatment Choice  . . . 474--484
              Subharup Guha and   
                      Yi Li and   
                  Donna Neuberg   Bayesian Hidden Markov Modeling of Array
                                  CGH Data . . . . . . . . . . . . . . . . 485--497
                    Jun Yan and   
                  Jason P. Fine   Analysis of Episodic Data With
                                  Application to Recurrent Pulmonary
                                  Exacerbations in Cystic Fibrosis
                                  Patients . . . . . . . . . . . . . . . . 498--510
              Atsushi Inoue and   
                    Lutz Kilian   How Useful Is Bagging in Forecasting
                                  Economic Time Series? A Case Study of
                                  U.S. Consumer Price Inflation  . . . . . 511--522
    Arno\vst Komárek and   
              Emmanuel Lesaffre   Bayesian Accelerated Failure Time Model
                                  With Multivariate Doubly
                                  Interval-Censored Data and Flexible
                                  Distributional Assumptions . . . . . . . 523--533
            David B. Dunson and   
             Amy H. Herring and   
             Stephanie M. Engel   Bayesian Selection and Clustering of
                                  Polymorphisms in Functionally Related
                                  Genes  . . . . . . . . . . . . . . . . . 534--546
            Markus Frölich   Statistical Treatment Choice . . . . . . 547--558
           John Allen Logan and   
              Peter D. Hoff and   
              Michael A. Newton   Two-Sided Estimation of Mate Preferences
                                  for Similarities in Age, Education, and
                                  Religion . . . . . . . . . . . . . . . . 559--569
                Dave Higdon and   
             James Gattiker and   
             Brian Williams and   
                 Maria Rightley   Computer Model Calibration Using
                                  High-Dimensional Output  . . . . . . . . 570--583
                    Tao Shi and   
                     Bin Yu and   
        Eugene E. Clothiaux and   
               Amy J. Braverman   Daytime Arctic Cloud Detection Based on
                                  Multi-Angle Satellite Data With Case
                                  Studies  . . . . . . . . . . . . . . . . 584--593
        Tirthankar Dasgupta and   
             Christopher Ma and   
           V. Roshan Joseph and   
                 Z. L. Wang and   
                  C. F. Jeff Wu   Statistical Modeling and Analysis for
                                  Robust Synthesis of Nanostructures . . . 594--603
          Herbert K. H. Lee and   
         Bruno Sansó and   
               Weining Zhou and   
                David M. Higdon   Inference for a Proton Accelerator Using
                                  Convolution Models . . . . . . . . . . . 604--613
             Alejandro Veen and   
         Frederic P. Schoenberg   Estimation of Space--Time Branching
                                  Process Models in Seismology Using an
                                  EM--Type Algorithm . . . . . . . . . . . 614--624
                    Ping Ma and   
                  Wenxuan Zhong   Penalized Clustering of Large-Scale
                                  Functional Data With Multiple Covariates 625--636
                 Limin Peng and   
                   Yijian Huang   Survival Analysis With Quantile
                                  Regression Models  . . . . . . . . . . . 637--649
                  Minge Xie and   
         Douglas G. Simpson and   
             Raymond J. Carroll   Semiparametric Analysis of Heterogeneous
                                  Data Using Varying-Scale Generalized
                                  Linear Models  . . . . . . . . . . . . . 650--660
                Remy Cottet and   
             Robert J. Kohn and   
                  David J. Nott   Variable Selection and Model Averaging
                                  in Semiparametric Overdispersed
                                  Generalized Linear Models  . . . . . . . 661--671
           Brent A. Johnson and   
                  D. Y. Lin and   
                   Donglin Zeng   Penalized Estimating Functions and
                                  Variable Selection in Semiparametric
                                  Regression Models  . . . . . . . . . . . 672--680
                Trevor Park and   
                 George Casella   The Bayesian Lasso . . . . . . . . . . . 681--686
         Pavel \vCí\'zek   Robust and Efficient Adaptive Estimation
                                  of Binary-Choice Regression Models . . . 687--696
Pedro César Álvarez-Esteban and   
        Eustasio del Barrio and   
Juan Antonio Cuesta-Albertos and   
           Carlos Matrán   Trimmed Comparison of Distributions  . . 697--704
                    Gang Li and   
                     Kefei Zhou   A Unified Approach to Nonparametric
                                  Comparison of Receiver Operating
                                  Characteristic Curves for Longitudinal
                                  and Clustered Data . . . . . . . . . . . 705--713
                   Wei Zhao and   
                    Rongling Wu   Wavelet-Based Nonparametric Functional
                                  Mapping of Longitudinal Curves . . . . . 714--725
          John Staudenmayer and   
              David Ruppert and   
            John P. Buonaccorsi   Density Estimation in the Presence of
                                  Heteroscedastic Measurement Error  . . . 726--736
Pierre-Jérôme Bergeron and   
           Masoud Asgharian and   
               David B. Wolfson   Covariate Bias Induced by Length-Biased
                                  Sampling of Failure Times  . . . . . . . 737--742
                 Yanyuan Ma and   
                   Guosheng Yin   Cure Rate Model With Mismeasured
                                  Covariates Under Transformation  . . . . 743--756
                     Ta-Hsin Li   Laplace Periodogram for Time Series
                                  Analysis . . . . . . . . . . . . . . . . 757--768
               Yongtao Guan and   
       Rasmus Waagepetersen and   
                 Colin M. Beale   Second-Order Analysis of Inhomogeneous
                                  Spatial Point Processes With
                                  Proportional Intensity Functions . . . . 769--777
                Byron Ellis and   
                 Wing Hung Wong   Learning Causal Bayesian Network
                                  Structures From Experimental Data  . . . 778--789
           David A. van Dyk and   
                  Taeyoung Park   Partially Collapsed Gibbs Samplers . . . 790--796
                   Jing Qin and   
                   Jun Shao and   
                     Biao Zhang   Efficient and Doubly Robust Imputation
                                  for Covariate-Dependent Missing
                                  Responses  . . . . . . . . . . . . . . . 797--810
              Hansheng Wang and   
                    Yingcun Xia   Sliced Regression for Dimension
                                  Reduction  . . . . . . . . . . . . . . . 811--821
                   Lexin Li and   
                      Wenbin Lu   Sufficient Dimension Reduction With
                                  Missing Predictors . . . . . . . . . . . 822--831
         Michael G. Hudgens and   
          M. Elizabeth Halloran   Toward Causal Inference With
                                  Interference . . . . . . . . . . . . . . 832--842
                Yuping Dong and   
              A. S. Hedayat and   
                    B. K. Sinha   Surveillance Strategies for Detecting
                                  Changepoint in Incidence Rate Based on
                                  Exponentially Weighted Moving Average
                                  Methods  . . . . . . . . . . . . . . . . 843--853
                   Lidong E and   
                 Jan Hannig and   
                      Hari Iyer   Fiducial Intervals for Variance
                                  Components in an Unbalanced
                                  Two-Component Normal Mixed Linear Model  854--865
            Debajyoti Sinha and   
            Tapabrata Maiti and   
          Joseph G. Ibrahim and   
                  Bichun Ouyang   Current Methods for Recurrent Events
                                  Data With Dependent Termination  . . . . 866--878
               Herman F. Senter   Applied Linear Statistical Models  . . . 880--880
                        M. Last   Book review: \booktitleApplying
                                  Statistics in the Courtroom: A New
                                  Approach for Attorneys and Expert
                                  Witnesses; The Expert: The Statistical
                                  Analyst in Litigation  . . . . . . . . . 880--881
                  Jerome Reiter   Book review: \booktitleData Quality and
                                  Record Linkage Techniques  . . . . . . . 881--881
               Dalene K. Stangl   Book review: \booktitleEncyclopedia of
                                  Statistics in Behavioral Science . . . . 881--882
              Peter C. Kiessler   Book review: \booktitleExtreme Value
                                  Theory: An Introduction  . . . . . . . . 882--883
                 C. Shane Reese   Book review: \booktitleAn Introduction
                                  to Bayesian Analysis: Theory and Methods 883--884
              Peter C. Kiessler   Book review: \booktitleAn Introduction
                                  to Random Sets; Theory of Random Sets    884--884
                        Xin Yan   Book review: \booktitleLinear Models: An
                                  Integrated Approach  . . . . . . . . . . 884--885
                   Michael Wolf   Book review: \booktitleNonparametric
                                  Econometrics: Theory and Practice  . . . 885--886
                    Thomas Burr   Book review: \booktitlePattern
                                  Recognition and Machine Learning . . . . 886--887
     Christine M. Anderson-Cook   Book review: \booktitleReliability, Life
                                  Testing, and the Prediction of Service
                                  Lives for Engineers and Scientists . . . 887--888
     Christine M. Anderson-Cook   Book review: \booktitleResponse
                                  Surfaces, Mixtures, and Ridge Analyses   888--888
                 David E. Tyler   Book review: \booktitleRobust
                                  Statistics: Theory and Methods . . . . . 888--889
                 Sharad D. Gore   Book review: \booktitleSampling for
                                  Natural Resource Monitoring  . . . . . . 889--890
                Samuel J. Frame   Book review: \booktitleSimulation and
                                  Monte Carlo: With Applications in
                                  Finance and MCMC . . . . . . . . . . . . 890--891
              Elamin H. Elbasha   Book review: \booktitleStatistical
                                  Analysis of Cost-Effectiveness Data  . . 891--891
                      Anonymous   Telegraphic Reviews  . . . . . . . . . . 891--893
          Albert C. Bemmaor and   
                   Daniel Hoppe   On Banerjee and Bhattacharyya (1976),
                                  \em ``A Purchase Incidence Model With
                                  Inverse Gaussian Interpurchase Times,''
                                  Journal of the American Statistical
                                  Association, \bf 71, 823--829  . . . . . 894--895
                      Anonymous   Correction . . . . . . . . . . . . . . . 896--896

Journal of the American Statistical Association
Volume 103, Number 483, September, 2008

      Edwin S. Iversen, Jr. and   
        Giovanni Parmigiani and   
                    Sining Chen   Multiple Model Evaluation Absent the
                                  Gold Standard Through Model Combination  897--909
                  Ying Chen and   
       Wolfgang Härdle and   
                  Seok-Oh Jeong   Nonparametric Risk Management With
                                  Generalized Hyperbolic Distributions . . 910--923
             Dylan S. Small and   
              Paul R. Rosenbaum   War and Wages  . . . . . . . . . . . . . 924--933
               Mikyoung Jun and   
                Reto Knutti and   
              Douglas W. Nychka   Spatial Analysis to Quantify Numerical
                                  Model Bias and Dependence  . . . . . . . 934--947
               Ross Corkrey and   
               Steve Brooks and   
              David Lusseau and   
                Kim Parsons and   
             John W. Durban and   
          Philip S. Hammond and   
               Paul M. Thompson   A Bayesian Capture--Recapture Population
                                  Model With Simultaneous Estimation of
                                  Heterogeneity  . . . . . . . . . . . . . 948--960
                      S. C. Kou   Stochastic Networks in Nanoscale
                                  Biophysics . . . . . . . . . . . . . . . 961--975
                 Jinbo Chen and   
            Rajeev Ayyagari and   
        Nilanjan Chatterjee and   
               David Y. Pee and   
         Catherine Schairer and   
                Celia Byrne and   
           Jacques Benichou and   
               Mitchell H. Gail   Breast Cancer Relative Hazard Estimates
                                  From Case--Control and Cohort Designs
                                  With Missing Data on Mammographic
                                  Density  . . . . . . . . . . . . . . . . 976--988
              Chris Skinner and   
                 Natalie Shlomo   Assessing Identification Risk in Survey
                                  Microdata Using Log-Linear Models  . . . 989--1001
                  Sheng Luo and   
     Ciprian M. Crainiceanu and   
            Thomas A. Louis and   
            Nilanjan Chatterjee   Analysis of Smoking Cessation Patterns
                                  Using a Stochastic Mixed-Effects Model
                                  With a Latent Cured State  . . . . . . . 1002--1013
      Isobel Claire Gormley and   
          Thomas Brendan Murphy   Exploring Voting Blocs Within the Irish
                                  Electorate . . . . . . . . . . . . . . . 1014--1027
           Miles S. Kimball and   
            Claudia R. Sahm and   
             Matthew D. Shapiro   Imputing Risk Tolerance From Survey
                                  Responses  . . . . . . . . . . . . . . . 1028--1038
    Wessel N. van Wieringen and   
        Mark A. van de Wiel and   
           Aad W. van der Vaart   A Test for Partial Differential
                                  Expression . . . . . . . . . . . . . . . 1039--1049
   Jose Manuel Pavía and   
             Beatriz Larraz and   
       Jose Marí Montero   Election Forecasts Using Spatiotemporal
                                  Models . . . . . . . . . . . . . . . . . 1050--1059
          Louis-Paul Rivest and   
         Sophie Baillargeon and   
           Michael Pierrynowski   A Directional Model for the Estimation
                                  of the Rotation Axes of the Ankle Joint  1060--1069
                  Xiao Wang and   
             Matthew Walker and   
                Jayanta Pal and   
          Michael Woodroofe and   
                    Mario Mateo   Model-Independent Estimates of Dark
                                  Matter Distributions . . . . . . . . . . 1070--1084
              Kyounghwa Bae and   
            Bani K. Mallick and   
             Christine G. Elsik   Prediction of Protein Interdomain Linker
                                  Regions by a Nonstationary Hidden Markov
                                  Model  . . . . . . . . . . . . . . . . . 1085--1099
              Shanshan Wang and   
              Wolfgang Jank and   
              Galit Shmueli and   
                     Paul Smith   Modeling Price Dynamics in eBay Auctions
                                  Using Differential Equations . . . . . . 1100--1118
          Robert B. Gramacy and   
              Herbert K. H. Lee   Bayesian Treed Gaussian Process Models
                                  With an Application to Computer Modeling 1119--1130
      Abel Rodríguez and   
            David B. Dunson and   
                Alan E. Gelfand   The Nested Dirichlet Process . . . . . . 1131--1154
                Alois Kneip and   
                James O. Ramsay   Combining Registration and Fitting for
                                  Functional Models  . . . . . . . . . . . 1155--1165
                  Ross Iaci and   
              Xiangrong Yin and   
               T. N. Sriram and   
    Christian Peter Klingenberg   An Informational Measure of Association
                                  and Dimension Reduction for Multiple
                                  Sets and Groups With Applications in
                                  Morphometric Analysis  . . . . . . . . . 1166--1176
                    Bing Li and   
               Songqiao Wen and   
                     Lixing Zhu   On a Projective Resampling Method for
                                  Dimension Reduction With Multivariate
                                  Responses  . . . . . . . . . . . . . . . 1177--1186
                  Yong Zhou and   
             Alan T. K. Wan and   
                  Xiaojing Wang   Estimating Equations Inference With
                                  Missing Data . . . . . . . . . . . . . . 1187--1199
               Guosheng Yin and   
                     Hui Li and   
                   Donglin Zeng   Partially Linear Additive Hazards
                                  Regression With Varying Coefficients . . 1200--1213
               Guosheng Yin and   
               Donglin Zeng and   
                         Hui Li   Power-Transformed Linear Quantile
                                  Regression With Censored Data  . . . . . 1214--1224
               Holger Dette and   
                Frank Bretz and   
          Andrey Pepelyshev and   
           José Pinheiro   Optimal Designs for Dose-Finding Studies 1225--1237
                   Yongtao Guan   On Consistent Nonparametric Intensity
                                  Estimation for Inhomogeneous Spatial
                                  Point Processes  . . . . . . . . . . . . 1238--1247
                  Ying Hung and   
        Veronika Zarnitsyna and   
                  Yan Zhang and   
                  Cheng Zhu and   
                  C. F. Jeff Wu   Binary Time Series Modeling With
                                  Application to Adhesion Frequency
                                  Experiments  . . . . . . . . . . . . . . 1248--1259
             Guido Consonni and   
                  Luca La Rocca   Tests Based on Intrinsic Priors for the
                                  Equality of Two Correlated Proportions   1260--1269
            Chiung-Yu Huang and   
                   Jing Qin and   
               Dean A. Follmann   Empirical Likelihood-Based Estimation of
                                  the Treatment Effect in a
                                  Pretest--Posttest Study  . . . . . . . . 1270--1280
                 Yufeng Liu and   
           David Neil Hayes and   
               Andrew Nobel and   
                   J. S. Marron   Statistical Significance of Clustering
                                  for High-Dimension, Low-Sample Size Data 1281--1293
            Ricardo Fraiman and   
                 Ana Justel and   
                  Marcela Svarc   Selection of Variables for Cluster
                                  Analysis and Classification Rules  . . . 1294--1303
            Peter Radchenko and   
                Gareth M. James   Variable Inclusion and Shrinkage
                                  Algorithms . . . . . . . . . . . . . . . 1304--1315
               Loveday Conquest   Analysing Ecological Data  . . . . . . . 1317--1317
                  Rolf Sundberg   Book review: \booktitleApplied
                                  Chemometrics for Scientists  . . . . . . 1317--1318
                    Keith Heyen   Book review: \booktitleThe Basel II Risk
                                  Parameters: Estimation, Validation, and
                                  Stress Testing . . . . . . . . . . . . . 1318--1319
                 David H. Annis   Book review: \booktitleBayes Linear
                                  Statistics: Theory and Methods . . . . . 1319--1319
           Thomas E. Bradstreet   Book review: \booktitleBioequivalence
                                  Studies in Drug Development: Methods and
                                  Applications . . . . . . . . . . . . . . 1319--1320
                    Angela Dean   Book review: \booktitleThe Construction
                                  of Optimal Stated Choice Experiments:
                                  Theory and Methods . . . . . . . . . . . 1320--1321
               Thomas C. M. Lee   Book review: \booktitleInformation and
                                  Complexity in Statistical Modeling . . . 1321--1322
                      Jeff Gill   Book review: \booktitleIntroduction to
                                  Applied Bayesian Statistics and
                                  Estimation for Social Scientists . . . . 1322--1323
      Christopher R. Bilder and   
                Joshua M. Tebbs   Book review: \booktitleAn Introduction
                                  to Categorical Data Analysis . . . . . . 1323--1323
      Thorsten Rheinländer   Book review: \booktitleIntroduction to
                                  Stochastic Integration . . . . . . . . . 1324--1324
                   Lynne Stokes   Book review: \booktitleIntroduction to
                                  Variance Estimation  . . . . . . . . . . 1324--1325
               Jozef L. Teugels   Book review: \booktitleMarkov Chains:
                                  Models, Algorithms and Applications  . . 1325--1325
                          Bo Li   Book review: \booktitleModel-Based
                                  Geostatistics  . . . . . . . . . . . . . 1325--1326
            Timothy J. Robinson   Book review: \booktitleModels for
                                  Ecological Data: An Introduction . . . . 1326--1326
            Michael R. Chernick   Book review: \booktitleNonparametric
                                  Statistics, With Applications to Science
                                  and Engineering  . . . . . . . . . . . . 1326--1327
     Christine M. Anderson-Cook   Book review: \booktitleOptimum
                                  Experimental Designs, With SAS . . . . . 1327--1328
                      Anonymous   Telegraphic Reviews  . . . . . . . . . . 1328--1330

Journal of the American Statistical Association
Volume 103, Number 484, December, 2008

                Mary Ellen Bock   Statistics: Harnessing the Power of
                                  Information  . . . . . . . . . . . . . . 1331--1333
         William R. Shadish and   
                M. H. Clark and   
               Peter M. Steiner   Can Nonrandomized Experiments Yield
                                  Accurate Answers? A Randomized
                                  Experiment Comparing Random and
                                  Nonrandom Assignments  . . . . . . . . . 1334--1344
         Roderick J. Little and   
                    Qi Long and   
                     Xihong Lin   Comment: Can Nonrandomized Experiments
                                  Yield Accurate Answers? A Randomized
                                  Experiment Comparing Random and
                                  Nonrandom Assignments  . . . . . . . . . 1344--1346
                  Jennifer Hill   Comment: Can Nonrandomized Experiments
                                  Yield Accurate Answers? A Randomized
                                  Experiment Comparing Random and
                                  Nonrandom Assignments  . . . . . . . . . 1346--1350
                Donald B. Rubin   Comment: The Design and Analysis of Gold
                                  Standard Randomized Experiments  . . . . 1350--1353
         William R. Shadish and   
                M. H. Clark and   
               Peter M. Steiner   Rejoinder: Comment: The Design and
                                  Analysis of Gold Standard Randomized
                                  Experiments  . . . . . . . . . . . . . . 1353--1356
         Andrei Y. Yakovlev and   
      Vessela K. Stoimenova and   
               Nikolay M. Yanev   Branching Processes as Models of
                                  Progenitor Cell Populations and
                                  Estimation of the Offspring
                                  Distributions  . . . . . . . . . . . . . 1357--1366
         Dimitris Fouskakis and   
                   David Draper   Comparing Stochastic Optimization
                                  Methods for Variable Selection in Binary
                                  Outcome Prediction, With Application to
                                  Health Policy  . . . . . . . . . . . . . 1367--1381
         John H. J. Einmahl and   
                  Jan R. Magnus   Records in Athletics Through
                                  Extreme-Value Theory . . . . . . . . . . 1382--1391
          Bryan E. Shepherd and   
             Mary W. Redman and   
               Donna P. Ankerst   Does Finasteride Affect the Severity of
                                  Prostate Cancer? A Causal Sensitivity
                                  Analysis . . . . . . . . . . . . . . . . 1392--1404
          A. James O'Malley and   
              Alan M. Zaslavsky   Domain-Level Covariance Analysis for
                                  Multilevel Survey Data With Structured
                                  Nonresponse  . . . . . . . . . . . . . . 1405--1418
           Clive G. Bowsher and   
                   Roland Meeks   The Dynamics of Economic Functions:
                                  Modeling and Forecasting the Yield Curve 1419--1437
         Carlos M. Carvalho and   
              Jeffrey Chang and   
            Joseph E. Lucas and   
           Joseph R. Nevins and   
                Quanli Wang and   
                      Mike West   High-Dimensional Sparse Factor Modeling:
                                  Applications in Gene Expression Genomics 1438--1456
            Edward W. Frees and   
             Emiliano A. Valdez   Hierarchical Insurance Claims Modeling   1457--1469
             Brian S. Caffo and   
     Ciprian M. Crainiceanu and   
                Lijuan Deng and   
               Craig W. Hendrix   A Case Study in Pharmacologic Colon
                                  Imaging Using Principal Curves in
                                  Single-Photon Emission Computed
                                  Tomography . . . . . . . . . . . . . . . 1470--1480
            Michael L. Anderson   Multiple Inference and Gender
                                  Differences in the Effects of Early
                                  Intervention: a Reevaluation of the
                                  Abecedarian, Perry Preschool, and Early
                                  Training Projects  . . . . . . . . . . . 1481--1495
                Daniel Merl and   
               Raquel Prado and   
    Ananías A. Escalante   Assessing the Effect of Selection at the
                                  Amino Acid Level in Malaria Antigen
                                  Sequences Through Bayesian Generalized
                                  Linear Models  . . . . . . . . . . . . . 1496--1507
            David B. Dunson and   
             Amy H. Herring and   
           Anna Maria Siega-Riz   Bayesian Inference on Changes in
                                  Response Densities Over Predictor
                                  Clusters . . . . . . . . . . . . . . . . 1508--1517
                 Haitao Chu and   
                        Lei Nie   A Few Remarks on \em ``A
                                  Capture--Recapture Approach for
                                  Screening Using Two Diagnostic Tests
                                  With Availability of Disease Status for
                                  the Test Positives Only'' by Böhning and
                                  Patilea  . . . . . . . . . . . . . . . . 1518--1519
               Jianqing Fan and   
                      Yichao Wu   Semiparametric Estimation of Covariance
                                  Matrixes for Longitudinal Data . . . . . 1520--1533
     Hans-Georg Müller and   
                       Fang Yao   Functional Additive Models . . . . . . . 1534--1544
            Cari G. Kaufman and   
          Mark J. Schervish and   
              Douglas W. Nychka   Covariance Tapering for Likelihood-Based
                                  Estimation in Large Spatial Data Sets    1545--1555
                Lifeng Wang and   
                 Hongzhe Li and   
               Jianhua Z. Huang   Variable Selection in Nonparametric
                                  Varying-Coefficient Models for Analysis
                                  of Repeated Measurements . . . . . . . . 1556--1569
                  Hua Liang and   
                       Hulin Wu   Parameter Estimation for Differential
                                  Equation Models Using a Framework of
                                  Measurement Error in Regression Models   1570--1583
                   Jiti Gao and   
                Ir\`ene Gijbels   Bandwidth Selection in Nonparametric
                                  Kernel Testing . . . . . . . . . . . . . 1584--1594
                 Zongwu Cai and   
                    Xiaoping Xu   Nonparametric Quantile Estimations for
                                  Dynamic Smooth Coefficient Models  . . . 1595--1608
               Kjell Doksum and   
                Shijie Tang and   
                   Kam-Wah Tsui   Nonparametric Variable Selection: The
                                  EARTH Algorithm  . . . . . . . . . . . . 1609--1620
                   Qing Liu and   
             Keaven M. Anderson   On Adaptive Extensions of Group
                                  Sequential Trials for Clinical
                                  Investigations . . . . . . . . . . . . . 1621--1630
                    Yingcun Xia   A Multiple-Index Model and Dimension
                                  Reduction  . . . . . . . . . . . . . . . 1631--1640
                  J. Kunert and   
                     J. Stufken   Optimal Crossover Designs for Two
                                  Treatments in the Presence of Mixed and
                                  Self-Carryover Effects . . . . . . . . . 1641--1647
          Joseph G. Ibrahim and   
                 Hongtu Zhu and   
                 Niansheng Tang   Model Selection Criteria for
                                  Missing-Data Problems Using the EM
                                  Algorithm  . . . . . . . . . . . . . . . 1648--1658
              Ming-Hui Chen and   
          Joseph G. Ibrahim and   
                    Sungduk Kim   Properties and Implementation of
                                  Jeffreys's Prior in Binomial Regression
                                  Models . . . . . . . . . . . . . . . . . 1659--1664
                Yongdai Kim and   
                 Hosik Choi and   
                    Hee-Seok Oh   Smoothly Clipped Absolute Deviation on
                                  High Dimensions  . . . . . . . . . . . . 1665--1673
                Jiahua Chen and   
                  Abbas Khalili   Order Selection in Finite Mixture Models
                                  With a Nonsmooth Penalty . . . . . . . . 1674--1683
             Jeng-Min Chiou and   
                    Pai-Ling Li   Correlation-Based Functional Clustering
                                  via Subspace Projection  . . . . . . . . 1684--1692
         Stijn Vansteelandt and   
       Tyler J. VanderWeele and   
           Eric J. Tchetgen and   
                James M. Robins   Multiply Robust Inference for
                                  Statistical Interactions . . . . . . . . 1693--1704
                      Anonymous   Book Reviews . . . . . . . . . . . . . . 1705--1728
                      Anonymous   Corrections  . . . . . . . . . . . . . . 1729--1729
                      Anonymous   2008 Editorial Collaborators . . . . . . 1730--1734
                      Anonymous   Index to Volume 103 (2008) . . . . . . . 1735--1743


Journal of the American Statistical Association
Volume 104, Number 485, March, 2009

           Peter A. Lachenbruch   Communicating Statistics and Developing
                                  Professionals: The 2008 ASA Presidential
                                  Address  . . . . . . . . . . . . . . . . 1--4
           Ricardo T. Lemos and   
             Bruno Sansó   A Spatio-Temporal Model for Mean,
                                  Anomaly, and Trend Fields of North
                                  Atlantic Sea Surface Temperature . . . . 5--18
                      D. Higdon   Comment: a Spatio-Temporal Model for
                                  Mean, Anomaly, and Trend Fields of North
                                  Atlantic Sea Surface Temperature . . . . 18--20
                Roy Mendelssohn   Comment: a Spatio-Temporal Model for
                                  Mean, Anomaly, and Trend Fields of North
                                  Atlantic Sea Surface Temperature . . . . 20--22
                C. K. Wikle and   
                  R. F. Milliff   Comment: a Spatio-Temporal Model for
                                  Mean, Anomaly, and Trend Fields of North
                                  Atlantic Sea Surface Temperature . . . . 22--23
                R. T. Lemos and   
                B. Sansó   Rejoinder: a Spatio-Temporal Model for
                                  Mean, Anomaly, and Trend Fields of North
                                  Atlantic Sea Surface Temperature . . . . 23--25
           Jamie L. Bigelow and   
                David B. Dunson   Bayesian Semiparametric Joint Models for
                                  Functional Predictors  . . . . . . . . . 26--36
          Laura M. Sangalli and   
          Piercesare Secchi and   
             Simone Vantini and   
           Alessandro Veneziani   A Case Study in Exploratory Functional
                                  Data Analysis: Geometrical Features of
                                  the Internal Carotid Artery  . . . . . . 37--48
        Douglas E. Schaubel and   
            Robert A. Wolfe and   
            Camelia S. Sima and   
               Robert M. Merion   Estimating the Effect of a
                                  Time-Dependent Treatment by Levels of an
                                  Internal Time-Dependent Covariate:
                                  Application to the Contrast Between
                                  Liver Wait-List and Posttransplant
                                  Mortality  . . . . . . . . . . . . . . . 49--59
            Richard J. Cook and   
          Jerald F. Lawless and   
        Lajmi Lakhal-Chaieb and   
                     Ker-Ai Lee   Robust Estimation of Mean Functions and
                                  Treatment Effects for Recurrent Events
                                  Under Event-Dependent Censoring and
                                  Termination: Application to Skeletal
                                  Complications in Cancer Metastatic to
                                  Bone . . . . . . . . . . . . . . . . . . 60--75
        Daniel A. Henderson and   
            Richard J. Boys and   
            Kim J. Krishnan and   
              Conor Lawless and   
            Darren J. Wilkinson   Bayesian Emulation and Calibration of a
                                  Stochastic Computer Model of
                                  Mitochondrial DNA Deletions in
                                  Substantia Nigra Neurons . . . . . . . . 76--87
          Anthony Y. C. Kuk and   
                      C. C. Tan   Estimating the Time-Varying Rate of
                                  Transmission of SARS in Singapore and
                                  Hong Kong Under Two Environments . . . . 88--96
           Richard L. Smith and   
            Claudia Tebaldi and   
                Doug Nychka and   
                Linda O. Mearns   Bayesian Modeling of Uncertainty in
                                  Ensembles of Climate Models  . . . . . . 97--116
          A. Ronald Gallant and   
            Robert E. McCulloch   On the Determination of General
                                  Scientific Models With Application to
                                  Asset Pricing  . . . . . . . . . . . . . 117--131
             Paul Fearnhead and   
              Despina Vasileiou   Bayesian Analysis of Isochores . . . . . 132--141
                   Feng Guo and   
               Dipak K. Dey and   
              Kent E. Holsinger   A Bayesian Hierarchical Model for
                                  Analysis of Single-Nucleotide
                                  Polymorphisms Diversity in Multilocus,
                                  Multipopulation Samples  . . . . . . . . 142--154
         Erica E. M. Moodie and   
            Robert W. Platt and   
              Michael S. Kramer   Estimating Response-Maximized Decision
                                  Rules With Applications to Breastfeeding 155--165
             Junni L. Zhang and   
            Donald B. Rubin and   
                Fabrizia Mealli   Likelihood-Based Analysis of Causal
                                  Effects of Job-Training Programs Using
                                  Principal Stratification . . . . . . . . 166--176
            Adam J. Rothman and   
           Elizaveta Levina and   
                         Ji Zhu   Generalized Thresholding of Large
                                  Covariance Matrices  . . . . . . . . . . 177--186
                Jiahua Chen and   
                  Abbas Khalili   Order Selection in Finite Mixture Models
                                  With a Nonsmooth Penalty . . . . . . . . 187--196
             R. Dennis Cook and   
                Liliana Forzani   Likelihood-Based Sufficient Dimension
                                  Reduction  . . . . . . . . . . . . . . . 197--208
                 Lisha Chen and   
                   Andreas Buja   Local Multidimensional Scaling for
                                  Nonlinear Dimension Reduction, Graph
                                  Drawing, and Proximity Analysis  . . . . 209--219
                Yi-Hau Chen and   
        Nilanjan Chatterjee and   
             Raymond J. Carroll   Shrinkage Estimators for Robust and
                                  Efficient Inference in Haplotype-Based
                                  Case-Control Studies . . . . . . . . . . 220--233
                  Hua Liang and   
                       Runze Li   Variable Selection for Partially Linear
                                  Models With Measurement Errors . . . . . 234--248
                  Ori Rosen and   
           David S. Stoffer and   
                     Sally Wood   Local Spectral Analysis via a Bayesian
                                  Mixture of Smoothing Splines . . . . . . 249--262
              Lionel Cucala and   
          Jean-Michel Marin and   
        Christian P. Robert and   
             D. M. Titterington   A Bayesian Reassessment of
                                  Nearest-Neighbor Classification  . . . . 263--273
      Athanasios C. Micheas and   
           Christopher K. Wikle   A Bayesian Hierarchical Nonoverlapping
                                  Random Disc Growth Model . . . . . . . . 274--283
             Byeong U. Park and   
                Enno Mammen and   
       Wolfgang Härdle and   
                   Szymon Borak   Time Series Modelling With
                                  Semiparametric Factor Dynamics . . . . . 284--298
           Piotr Fryzlewicz and   
                 Hernando Ombao   Consistent Classification of
                                  Nonstationary Time Series Using
                                  Stochastic Wavelet Representations . . . 299--312
           Christian Francq and   
         Jean-Michel Zako\"\ian   Testing the Nullity of GARCH
                                  Coefficients: Correction of the Standard
                                  Tests and Relative Efficiency
                                  Comparisons  . . . . . . . . . . . . . . 313--324
          M. Hashem Pesaran and   
               Allan Timmermann   Testing Dependence Among Serially
                                  Correlated Multicategory Variables . . . 325--337
             Cristina Rueda and   
 Miguel A. Fernández and   
            Shyamal Das Peddada   Estimation of Parameters Subject to
                                  Order Restrictions on a Circle With
                                  Application to Estimation of Phase
                                  Angles of Cell Cycle Genes . . . . . . . 338--347
            Aurore Delaigle and   
               Jianqing Fan and   
             Raymond J. Carroll   A Design-Adaptive Local Polynomial
                                  Estimator for the Errors-in-Variables
                                  Problem  . . . . . . . . . . . . . . . . 348--359
              Alfio Marazzi and   
              Ana J. Villar and   
                Victor J. Yohai   Robust Response Transformations Based on
                                  Optimal Prediction . . . . . . . . . . . 360--370
                 Zongwu Cai and   
                    Xiaoping Xu   Nonparametric Quantile Estimations for
                                  Dynamic Smooth Coefficient Models  . . . 371--383
              John D. Kloke and   
           Joseph W. McKean and   
            M. Mushfiqur Rashid   Rank-Based Estimation and Associated
                                  Inferences for Linear Models With
                                  Cluster Correlated Errors  . . . . . . . 384--390
               S. A. Murphy and   
                     D. Bingham   Screening Experiments for Developing
                                  Dynamic Treatment Regimes  . . . . . . . 391--408
                      Anonymous   Book Reviews . . . . . . . . . . . . . . 409--426
                      Anonymous   Correction . . . . . . . . . . . . . . . 427--427

Journal of the American Statistical Association
Volume 104, Number 486, June, 2009

                Xuefeng Liu and   
         Michael J. Daniels and   
                    Bess Marcus   Joint Models for the Association of
                                  Longitudinal Binary and Continuous
                                  Processes With Application to a Smoking
                                  Cessation Trial  . . . . . . . . . . . . 429--438
                Pulak Ghosh and   
                Sanjib Basu and   
                  Ram C. Tiwari   Bayesian Analysis of Cancer Rates From
                                  SEER Program Using Parametric and
                                  Semiparametric Joinpoint Regression
                                  Models . . . . . . . . . . . . . . . . . 439--452
                  Jeff Gill and   
                 George Casella   Nonparametric Priors for Ordinal
                                  Bayesian Social Science Models:
                                  Specification and Estimation . . . . . . 453--454
             Siew Leng Teng and   
                   Haiyan Huang   A Statistical Framework to Infer
                                  Functional Gene Relationships From
                                  Biologically Interrelated Microarray
                                  Experiments  . . . . . . . . . . . . . . 465--473
                Pulak Ghosh and   
                      Wanzhu Tu   Assessing Sexual Attitudes and Behaviors
                                  of Young Women: a Joint Model with
                                  Nonlinear Time Effects, Time Varying
                                  Covariates, and Dropouts . . . . . . . . 474--485
           Debopam Bhattacharya   Inferring Optimal Peer Assignment From
                                  Experimental Data  . . . . . . . . . . . 486--500
          Paul R. Rosenbaum and   
              Jeffrey H. Silber   Sensitivity Analysis for Equivalence and
                                  Difference in an Observational Study of
                                  Neonatal Intensive Care Units  . . . . . 501--511
                 Haitao Chu and   
                Sining Chen and   
                Thomas A. Louis   Random Effects Models in a Meta-Analysis
                                  of the Accuracy of Two Diagnostic Tests
                                  Without a Gold Standard  . . . . . . . . 512--523
                 Tanzy Love and   
              Alicia Carriquiry   Repeated Measurements on Distinct Scales
                                  With Censoring --- a Bayesian Approach
                                  Applied to Microarray Analysis of Maize  524--540
     Ciprian M. Crainiceanu and   
             Brian S. Caffo and   
               Chong-Zhi Di and   
              Naresh M. Punjabi   Nonparametric Signal Extraction and
                                  Measurement Error in the Analysis of
                                  Electroencephalographic Activity During
                                  Sleep  . . . . . . . . . . . . . . . . . 541--555
         Finbarr O'Sullivan and   
                  Mark Muzi and   
        Alexander M. Spence and   
           David M. Mankoff and   
        Janet N. O'Sullivan and   
           Niall Fitzgerald and   
           George C. Newman and   
               Kenneth A. Krohn   Nonparametric Residue Analysis of
                                  Dynamic PET Data With Application to
                                  Cerebral FDG Studies in Normals  . . . . 556--571
             Jeng-Min Chiou and   
         Hans-Georg Müller   Modeling Hazard Rates as Functional Data
                                  for the Analysis of Cohort Lifetables
                                  and Mortality Forecasting  . . . . . . . 572--585
          Kristin P. Lennox and   
              David B. Dahl and   
            Marina Vannucci and   
                  Jerry W. Tsai   Density Estimation for Protein
                                  Conformation Angles Using a Bivariate
                                  von Mises Distribution and Bayesian
                                  Nonparametrics . . . . . . . . . . . . . 586--596
                 Jianhua Hu and   
               Adarsh Joshi and   
               Valen E. Johnson   Log-Linear Models for Gene Association   597--607
    Christopher J. Paciorek and   
             Jason S. McLachlan   Mapping Ancient Forests: Bayesian
                                  Inference for Spatio-Temporal Trends in
                                  Forest Composition Using the Fossil
                                  Pollen Proxy Record  . . . . . . . . . . 608--622
                 Hongtu Zhu and   
                   Yimei Li and   
          Joseph G. Ibrahim and   
                Xiaoyan Shi and   
                  Hongyu An and   
                Yashen Chen and   
                    Wei Gao and   
                  Weili Lin and   
             Daniel B. Rowe and   
            Bradley S. Peterson   Regression Models for Identifying Noise
                                  Sources in Magnetic Resonance Images . . 623--637
         Jonathan D. Norton and   
                    Xu-Feng Niu   Intrinsically Autoregressive
                                  Spatiotemporal Models With Application
                                  to Aggregated Birth Outcomes . . . . . . 638--649
             Gilles Durrieu and   
              Laurent Briollais   Sequential Design for Microarray
                                  Experiments  . . . . . . . . . . . . . . 650--660
              Greg Ridgeway and   
              John M. MacDonald   Doubly Robust Internal Benchmarking and
                                  False Discovery Rates for Detecting
                                  Racial Bias in Police Stops  . . . . . . 661--668
          Catriona M. Queen and   
               Casper J. Albers   Intervention and Causality: Forecasting
                                  Traffic Flows Using a Dynamic Bayesian
                                  Network  . . . . . . . . . . . . . . . . 669--681
          Iain M. Johnstone and   
                   Arthur Yu Lu   On Consistency and Sparsity for
                                  Principal Components Analysis in High
                                  Dimensions . . . . . . . . . . . . . . . 682--693
                    Boaz Nadler   Discussion . . . . . . . . . . . . . . . 694--697
          Daniela M. Witten and   
              Trevor Hastie and   
              Robert Tibshirani   Discussion . . . . . . . . . . . . . . . 698--699
                James O. Ramsay   Comments . . . . . . . . . . . . . . . . 700--700
          Iain M. Johnstone and   
                   Arthur Yu Lu   Rejoinder: Comments  . . . . . . . . . . 701--703
                  Bitao Liu and   
         Hans-Georg Müller   Estimating Derivatives for Samples of
                                  Sparsely Observed Functions, With
                                  Application to Online Auction Dynamics   704--717
  Sara López-Pintado and   
                      Juan Romo   On the Concept of Depth for Functional
                                  Data . . . . . . . . . . . . . . . . . . 718--734
                   Jie Peng and   
                   Pei Wang and   
              Nengfeng Zhou and   
                         Ji Zhu   Partial Correlation Estimation by Joint
                                  Sparse Regression Models . . . . . . . . 735--746
              Hansheng Wang and   
                    Yingcun Xia   Shrinkage Estimation of the Varying
                                  Coefficient Model  . . . . . . . . . . . 747--757
                 Weixin Yao and   
               Bruce G. Lindsay   Bayesian Mixture Labeling by Highest
                                  Posterior Density  . . . . . . . . . . . 758--767
              Laura Ventura and   
             Stefano Cabras and   
                 Walter Racugno   Prior Distributions From
                                  Pseudo-Likelihoods in the Presence of
                                  Nuisance Parameters  . . . . . . . . . . 768--774
                  Minge Xie and   
                Kesar Singh and   
                  Cun-Hui Zhang   Confidence Intervals for Population
                                  Ranks in the Presence of Ties and Near
                                  Ties . . . . . . . . . . . . . . . . . . 775--788
             Jan C. Neddermeyer   Computationally Efficient Nonparametric
                                  Importance Sampling  . . . . . . . . . . 788--802
                Liuquan Sun and   
                  Zhigang Zhang   A Class of Transformed Mean Residual
                                  Life Models With Censored Survival Data  803--815
       Francesco Bartolucci and   
              Alessio Farcomeni   A Multivariate Extension of the Dynamic
                                  Logit Model for Longitudinal Data Based
                                  on a Latent Markov Heterogeneity
                                  Structure  . . . . . . . . . . . . . . . 816--831
               Martin Posch and   
           Sonja Zehetmayer and   
                    Peter Bauer   Hunting for Significance With the False
                                  Discovery Rate . . . . . . . . . . . . . 832--840
           David Rios Insua and   
                 Jesus Rios and   
                    David Banks   Adversarial Risk Analysis  . . . . . . . 841--854
                      Anonymous   Book Reviews . . . . . . . . . . . . . . 855--871
                      Anonymous   Corrections  . . . . . . . . . . . . . . 872--872

Journal of the American Statistical Association
Volume 104, Number 487, September, 2009

              Ben B. Hansen and   
                    Jake Bowers   Attributing Effects to a
                                  Cluster-Randomized Get-Out-the-Vote
                                  Campaign . . . . . . . . . . . . . . . . 873--885
                  Lan Huang and   
              Ram C. Tiwari and   
                Zhaohui Zou and   
           Martin Kulldorff and   
                  Eric J. Feuer   Weighted Normal Spatial Scan Statistic
                                  for Heterogeneous Population Data  . . . 886--898
         Nicole H. Augustin and   
               Monica Musio and   
          Klaus von Wilpert and   
               Edgar Kublin and   
              Simon N. Wood and   
              Martin Schumacher   Modeling Spatiotemporal Forest Health
                                  Monitoring Data  . . . . . . . . . . . . 899--911
         Rebecca A. Hubbard and   
         Lurdes Y. T. Inoue and   
                    Paula Diehr   Joint Modeling of Self-Rated Health and
                                  Changes in Physical Functioning  . . . . 912--928
              M. J. Bayarri and   
            James O. Berger and   
            Marc C. Kennedy and   
          Athanasios Kottas and   
                  Rui Paulo and   
                Jerry Sacks and   
              John A. Cafeo and   
               Chin-Hsu Lin and   
                        Jian Tu   Predicting Vehicle Crashworthiness:
                                  Validation of Computer Models for
                                  Functional and Hierarchical Data . . . . 929--943
                 Jianhua Hu and   
                  Xuming He and   
            Gilbert J. Cote and   
                     Ralf Krahe   Singular Value Decomposition-Based
                                  Alternative Splicing Detection . . . . . 944--953
               Guosheng Yin and   
                      Ying Yuan   Bayesian Model Averaging Continual
                                  Reassessment Method in Phase I Clinical
                                  Trials . . . . . . . . . . . . . . . . . 954--968
                Xinwei Deng and   
           V. Roshan Joseph and   
             Agus Sudjianto and   
                  C. F. Jeff Wu   Active Learning Through Sequential
                                  Design, With Applications to Detection
                                  of Money Laundering  . . . . . . . . . . 969--981
         John H. J. Einmahl and   
                     Jun Li and   
                  Regina Y. Liu   Thresholding Events of Extreme in
                                  Simultaneous Monitoring of Multiple
                                  Risks  . . . . . . . . . . . . . . . . . 982--992
         Raymond J. Carroll and   
            Aurore Delaigle and   
                     Peter Hall   Nonparametric Prediction in Measurement
                                  Error Models . . . . . . . . . . . . . . 993--1003
               Jianqing Fan and   
                      Yang Feng   Comment: Nonparametric Prediction in
                                  Measurement Error Models . . . . . . . . 1003--1007
           Susanne M. Schennach   Comment: Nonparametric Prediction in
                                  Measurement Error Models . . . . . . . . 1007--1010
              John Staudenmayer   Comment: Nonparametric Prediction in
                                  Measurement Error Models . . . . . . . . 1010--1012
                Jiayang Sun and   
                  Xiaofeng Wang   Comment: Nonparametric Prediction in
                                  Measurement Error Models . . . . . . . . 1012--1013
         Raymond J. Carroll and   
            Aurore Delaigle and   
                     Peter Hall   Rejoinder: Nonparametric Prediction in
                                  Measurement Error Models . . . . . . . . 1013--1014
                  Bradley Efron   Empirical Bayes Estimates for
                                  Large-Scale Prediction Problems  . . . . 1015--1028
          Scotland C. Leman and   
                 Yuguo Chen and   
                 Michael Lavine   The Multiset Sampler . . . . . . . . . . 1029--1041
            David B. Dunson and   
                  Chuanhua Xing   Nonparametric Bayes Modeling of
                                  Multivariate Categorical Data  . . . . . 1042--1051
                  Dan Nettleton   Testing for the Supremacy of a
                                  Multinomial Cell Probability . . . . . . 1052--1059
                 Minggen Lu and   
                 Ying Zhang and   
                     Jian Huang   Semiparametric Estimation Methods for
                                  Panel Count Data Using Monotone
                                  B-Splines  . . . . . . . . . . . . . . . 1060--1070
           Djalil Chafa\"\i and   
               Didier Concordet   Confidence Regions for the Multinomial
                                  Parameter With Small Sample Size . . . . 1071--1079
            Chad M. Schafer and   
                Philip B. Stark   Constructing Confidence Regions of
                                  Optimal Expected Size  . . . . . . . . . 1080--1089
                Ruth Heller and   
          Paul R. Rosenbaum and   
                 Dylan S. Small   Split Samples and Design Sensitivity in
                                  Observational Studies  . . . . . . . . . 1090--1101
      Yacine A\"\it-Sahalia and   
               Jianqing Fan and   
                      Heng Peng   Nonparametric Transition-Based Tests for
                                  Jump Diffusions  . . . . . . . . . . . . 1102--1116
           Huixia Judy Wang and   
                       Lan Wang   Locally Weighted Censored Quantile
                                  Regression . . . . . . . . . . . . . . . 1117--1128
                   Ying Wei and   
             Raymond J. Carroll   Quantile Regression With Measurement
                                  Error  . . . . . . . . . . . . . . . . . 1129--1143
               Yu-Jen Cheng and   
         Ciprian M. Crainiceanu   Cox Models With Smooth Functional Effect
                                  of Covariates Measured With Error  . . . 1144--1154
                   Qiang Xu and   
          Myunghee Cho Paik and   
               Xiaodong Luo and   
                  Wei-Yann Tsai   Reweighting Estimators for Cox
                                  Regression With Missing Covariates . . . 1155--1167
                    Hao Liu and   
                        Yu Shen   A Semiparametric Regression Cure Model
                                  for Interval-Censored Data . . . . . . . 1168--1178
             Ming-Yen Cheng and   
              Wenyang Zhang and   
                   Lu-Hung Chen   Statistical Estimation in Generalized
                                  Multiparameter Likelihood Models . . . . 1179--1191
                    Yu Shen and   
                  Jing Ning and   
                       Jing Qin   Analyzing Length-Biased Data With
                                  Semiparametric Transformation and
                                  Accelerated Failure Time Models  . . . . 1192--1202
                 Hongtu Zhu and   
               Yasheng Chen and   
          Joseph G. Ibrahim and   
                   Yimei Li and   
                 Colin Hall and   
                      Weili Lin   Intrinsic Regression Models for
                                  Positive-Definite Matrices With
                                  Applications to Diffusion Tensor Imaging 1203--1212
                Junhui Wang and   
              Xiaotong Shen and   
                        Wei Pan   On Large Margin Hierarchical
                                  Classification With Multiple Paths . . . 1213--1223
               Bing-Yi Jing and   
               Junqing Yuan and   
                      Wang Zhou   Jackknife Empirical Likelihood . . . . . 1224--1232
              Hansheng Wang and   
                 Chih-Ling Tsai   Tail Index Regression  . . . . . . . . . 1233--1240
                Megan Othus and   
                      Yi Li and   
                  Ram C. Tiwari   A Class of Semiparametric Mixture Cure
                                  Survival Models With Dependent Censoring 1241--1250
               Zuoheng Wang and   
               Mary Sara McPeek   An Incomplete-Data Quasi-Likelihood
                                  Approach to Haplotype-Based Genetic
                                  Association Studies on~Related
                                  Individuals  . . . . . . . . . . . . . . 1251--1260
             George Casella and   
            Elías Moreno   Assessing Robustness of Intrinsic Tests
                                  of Independence in Two-Way Contingency
                                  Tables . . . . . . . . . . . . . . . . . 1261--1271
                      Anonymous   Book Reviews . . . . . . . . . . . . . . 1272--1291
                      Anonymous   Corrections  . . . . . . . . . . . . . . 1292--1292
                Joseph M. Hilbe   Note: Modeling Future Record
                                  Performances in Athletics  . . . . . . . 1293--1294

Journal of the American Statistical Association
Volume 104, Number 488, December, 2009

          Robert B. Scharpf and   
     Håkon Tjelmeland and   
        Giovanni Parmigiani and   
                Andrew B. Nobel   A Bayesian Model for Cross-Study
                                  Differential Gene Expression . . . . . . 1295--1310
             Debashis Ghosh and   
                  Hyungwon Choi   Comment: a Bayesian Model for
                                  Cross-Study Differential Gene Expression 1310--1314
                Xiaodan Fan and   
                     Jun S. Liu   Comment: a Bayesian Model for
                                  Cross-Study Differential Gene Expression 1314--1318
          Robert B. Scharpf and   
     Håkon Tjelmeland and   
        Giovanni Parmigiani and   
                Andrew B. Nobel   Rejoinder: a Bayesian Model for
                                  Cross-Study Differential Gene Expression 1318--1323
            Siddhartha Chib and   
              Bakhodir Ergashev   Analysis of Multifactor Affine Yield
                                  Curve Models . . . . . . . . . . . . . . 1324--1337
          Carolyn M. Rutter and   
       Diana L. Miglioretti and   
              James E. Savarino   Bayesian Calibration of Microsimulation
                                  Models . . . . . . . . . . . . . . . . . 1338--1350
               Jianqing Fan and   
                Loriano Mancini   Option Pricing With Model-Guided
                                  Nonparametric Methods  . . . . . . . . . 1351--1372
                Jamie Perin and   
           John S. Preisser and   
                Paul J. Rathouz   Semiparametric Efficient Estimation for
                                  Incomplete Longitudinal Binary Data,
                                  With Application to Smoking Trends . . . 1373--1384
         Melissa A. Bingham and   
          Daniel J. Nordman and   
            Stephen B. Vardeman   Modeling and Inference for Measured
                                  Crystal Orientations and a Tractable
                                  Class of Symmetric Distributions for
                                  Rotations in Three Dimensions  . . . . . 1385--1397
          Paul R. Rosenbaum and   
              Jeffrey H. Silber   Amplification of Sensitivity Analysis in
                                  Matched Observational Studies  . . . . . 1398--1405
       Chloé Friguet and   
              Maela Kloareg and   
                  David Causeur   A Factor Model Approach to Multiple
                                  Testing Under Dependence . . . . . . . . 1406--1415
           Anouar El Ghouch and   
                 Marc G. Genton   Local Polynomial Quantile Regression
                                  With Parametric Features . . . . . . . . 1416--1429
      Konstantinos Fokianos and   
              Anders Rahbek and   
           Dag Tjòstheim   Poisson Autoregression . . . . . . . . . 1430--1439
                 Limin Peng and   
                  Jason P. Fine   Competing Risks Quantile Regression  . . 1440--1453
              Radu V. Craiu and   
          Jeffrey Rosenthal and   
                      Chao Yang   Learn From Thy Neighbor: Parallel-Chain
                                  and Regional Adaptive MCMC . . . . . . . 1454--1466
                T. Tony Cai and   
                   Wenguang Sun   Simultaneous Testing of Grouped
                                  Hypotheses: Finding Needles in Multiple
                                  Haystacks  . . . . . . . . . . . . . . . 1467--1481
                   Yongtao Guan   On Nonparametric Variance Estimation for
                                  Second-Order Statistics of Inhomogeneous
                                  Spatial Point Processes With a Known
                                  Parametric Intensity Form  . . . . . . . 1482--1491
                   Jing Qin and   
                 Biao Zhang and   
              Denis H. Y. Leung   Empirical Likelihood in Missing Data
                                  Problems . . . . . . . . . . . . . . . . 1492--1503
                     Axel Gandy   Sequential Implementation of Monte Carlo
                                  Tests With Uniformly Bounded Resampling
                                  Risk . . . . . . . . . . . . . . . . . . 1504--1511
                  Hansheng Wang   Forward Regression for Ultra-High
                                  Dimensional Variable Screening . . . . . 1512--1524
               Davy Paindaveine   On Multivariate Runs Tests for
                                  Randomness . . . . . . . . . . . . . . . 1525--1538
              Otilia Boldea and   
                  Jan R. Magnus   Maximum Likelihood Estimation of the
                                  Multivariate Normal Mixture Model  . . . 1539--1549
     Ciprian M. Crainiceanu and   
           Ana-Maria Staicu and   
                   Chong-Zhi Di   Generalized Multilevel Functional
                                  Regression . . . . . . . . . . . . . . . 1550--1561
                  Ming Yuan and   
                        Hui Zou   Efficient Global Approximation of
                                  Generalized Nonlinear
                                  $\ell_1$-Regularized Solution Paths and
                                  Its Applications . . . . . . . . . . . . 1562--1574
        Martin A. Lindquist and   
                Ian W. McKeague   Logistic Regression With Brownian-Like
                                  Predictors . . . . . . . . . . . . . . . 1575--1585
             Changliang Zou and   
                     Peihua Qiu   Multivariate Statistical Process Control
                                  Using LASSO  . . . . . . . . . . . . . . 1586--1596
                 Peter Hall and   
         D. M. Titterington and   
                   Jing-Hao Xue   Median-Based Classifiers for
                                  High-Dimensional Data  . . . . . . . . . 1597--1608
           Jianhua Z. Huang and   
               Haipeng Shen and   
                   Andreas Buja   The Analysis of Two-Way Functional Data
                                  Using Two-Way Regularized Singular Value
                                  Decompositions . . . . . . . . . . . . . 1609--1620
             Ngai Hang Chan and   
               Song Xi Chen and   
                 Liang Peng and   
                    Cindy L. Yu   Empirical Likelihood Methods Based on
                                  Characteristic Functions With
                                  Applications to Lévy Processes  . . . . . 1621--1630
                   Lan Wang and   
                     Bo Kai and   
                       Runze Li   Local Rank Inference for Varying
                                  Coefficient Models . . . . . . . . . . . 1631--1645
            Yeonseung Chung and   
                David B. Dunson   Nonparametric Bayes Conditional
                                  Distribution Modeling With Variable
                                  Selection  . . . . . . . . . . . . . . . 1646--1660
                     Yi Liu and   
                      Jason Hsu   Testing for Efficacy in Primary and
                                  Secondary Endpoints by Partitioning
                                  Decision Paths . . . . . . . . . . . . . 1661--1670
        Nicolai Meinshausen and   
                Lukas Meier and   
            Peter Bühlmann   $p$-Values for High-Dimensional
                                  Regression . . . . . . . . . . . . . . . 1671--1681
                 Paul Gustafson   What Are the Limits of Posterior
                                  Distributions Arising From Nonidentified
                                  Models, and Why Should We Care?  . . . . 1682--1695
                Zhijie Xiao and   
                  Roger Koenker   Conditional Quantile Estimation for
                                  Generalized Autoregressive Conditional
                                  Heteroscedasticity Models  . . . . . . . 1696--1712
                      Anonymous   Book Reviews . . . . . . . . . . . . . . 1713--1727
                      Anonymous   Correction . . . . . . . . . . . . . . . 1728--1728
                      Anonymous   2009 Editorial Collaborators . . . . . . 1729--1734
                      Anonymous   Index to Volume 104 (2009) . . . . . . . 1735--1744


Journal of the American Statistical Association
Volume 111, Number 515, 2016

             Wouter Duivesteijn   Correction to Jin-Ting Zhang's
                                  ``Approximate and Asymptotic
                                  Distributions of Chi-Squared-Type
                                  Mixtures With Applications'' . . . . . . 1370--1371