Table of contents for issues of The American Statistician

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Volume 55, Number 4, November, 2001
Volume 63, Number 2, May, 2009
Volume 64, Number 1, February, 2010
Volume 64, Number 2, May, 2010
Volume 64, Number 3, August, 2010
Volume 64, Number 4, November, 2010
Volume 65, Number 1, February, 2011
Volume 65, Number 2, May, 2011
Volume 65, Number 3, August, 2011
Volume 65, Number 4, November, 2011
Volume 66, Number 1, 2012
Volume 66, Number 2, 2012
Volume 66, Number 3, 2012
Volume 66, Number 4, 2012
Volume 67, Number 1, 2013
Volume 67, Number 2, 2013
Volume 67, Number 3, 2013
Volume 67, Number 4, 2013
Volume 68, Number 1, 2014
Volume 68, Number 2, 2014
Volume 68, Number 3, 2014
Volume 68, Number 4, 2014
Volume 69, Number 1, 2015
Volume 69, Number 2, 2015
Volume 69, Number 3, 2015
Volume 69, Number 4, 2015
Volume 70, Number 1, 2016
Volume 70, Number 2, 2016
Volume 70, Number 3, 2016
Volume 70, Number 4, 2016
Volume 71, Number 1, 2017
Volume 71, Number 2, 2017
Volume 71, Number 3, 2017
Volume 71, Number 4, 2017
Volume 33, Number 1, March, 2011


The American Statistician
Volume 55, Number 4, November, 2001

              Eric Langford and   
            Neil Schwertman and   
                 Margaret Owens   Is the Property of Being Positively
                                  Correlated Transitive? . . . . . . . . . 322--325


The American Statistician
Volume 63, Number 2, May, 2009

             Carolyn Lauzon and   
                    Brian Caffo   Easy Multiplicity Control in Equivalence
                                  Testing Using Two One-Sided Tests  . . . 147--154


The American Statistician
Volume 64, Number 1, February, 2010

           Robert G. Easterling   Passion-Driven Statistics  . . . . . . . 1--5
                   David R. Fox   Desired and Feared--- Quo vadis or Quid
                                  agis?  . . . . . . . . . . . . . . . . . 6--9
             Roger W. Hoerl and   
                 Ronald D. Snee   Moving the Statistics Profession Forward
                                  to the Next Level  . . . . . . . . . . . 10--14
                  Brian C. Kotz   Thoughts on the Importance of the
                                  Undergraduate Statistics Experience to
                                  the Discipline's (and Society's) Future  15--18
                 Frank P. Soler   Who Is Teaching Introductory Statistics? 19--20
                Rick Cleary and   
                   Sam Woolford   The Business of Desire and Fear  . . . . 21--22
              Elart von Collani   Response to \em ``Desired and Feared ---
                                  What Do We Do Now and Over the Next 50
                                  Years'' by Xiao-Li Meng  . . . . . . . . 23--25
                   Xiao-Li Meng   Rejoinder: Better Training, Deeper
                                  Thinking, and More Policing  . . . . . . 26--29
              Richard H. Browne   The $t$-Test $p$ Value and Its
                                  Relationship to the Effect Size and $
                                  P(X > Y) $  . . . . . . . . . . . . . . . 30--33
                   Wolf Schwarz   Comparing Continuous and Discrete
                                  Birthday Coincidences: ``Same-Day''
                                  versus ``Within 24 Hours'' . . . . . . . 34--36
         Marios G. Pavlides and   
             Michael D. Perlman   On Estimating the Face Probabilities of
                                  Shaved Dice With Partial Data  . . . . . 37--45
        Stephen B. Vardeman and   
     Joanne R. Wendelberger and   
                   Tom Burr and   
          Michael S. Hamada and   
            Leslie M. Moore and   
             J. Marcus Jobe and   
              Max D. Morris and   
                    Huaiqing Wu   Elementary Statistical Methods and
                                  Measurement Error  . . . . . . . . . . . 46--51
      Christopher J. Malone and   
              John Gabrosek and   
            Phyllis Curtiss and   
                      Matt Race   Resequencing Topics in an Introductory
                                  Applied Statistics Course  . . . . . . . 52--58
               Julie Legler and   
                Paul Roback and   
     Kathryn Ziegler-Graham and   
                James Scott and   
          Sharon Lane-Getaz and   
                 Matthew Richey   A Model for an Interdisciplinary
                                  Undergraduate Research Program . . . . . 59--69
              T. D. Stanley and   
         Stephen B. Jarrell and   
           Hristos Doucouliagos   Could It Be Better to Discard 90% of the
                                  Data? A Statistical Paradox  . . . . . . 70--77
        Michael A. Proschan and   
           Jeffrey S. Rosenthal   Beyond the Quintessential Quincunx . . . 78--82
              Henry S. Lynn and   
              Zhanjian Dong and   
                         Zhe Mu   Comparison of Software Algorithms for
                                  Calculating REML Wald Type Confidence
                                  Limits for the Between-Group Variance
                                  Component in a Small Sample One-Way
                                  Random Effects Model Example . . . . . . 83--87
                      Anonymous   Reviews of Books and Teaching Materials  88--96

The American Statistician
Volume 64, Number 2, May, 2010

              Deborah Nolan and   
             Duncan Temple Lang   Computing in the Statistics Curricula    97--107
             Paul Fearnhead and   
             Benjamin M. Taylor   Calculating Strength of Schedule, and
                                  Choosing Teams for March Madness . . . . 108--115
             David H. Annis and   
          Peter C. Kiessler and   
                Robert Lund and   
                Tara L. Steuber   Estimation in Reversible Markov Chains   116--120
          Devan V. Mehrotra and   
                 Xiaomin Lu and   
                    Xiaoming Li   Rank-Based Analyses of Stratified
                                  Experiments: Alternatives to the van
                                  Elteren Test . . . . . . . . . . . . . . 121--130
              C. Lozada-Can and   
                  A. C. Davison   Three Examples of Accurate Likelihood
                                  Inference  . . . . . . . . . . . . . . . 131--139
              J. T. Ormerod and   
                     M. P. Wand   Explaining Variational Approximations    140--153
           Gunnar Taraldsen and   
             Bo Henry Lindqvist   Improper Priors Are Not Improper . . . . 154--158
                 Xiang Zhou and   
               Jerome P. Reiter   A Note on Bayesian Inference After
                                  Multiple Imputation  . . . . . . . . . . 159--163
           Nicholas T. Longford   Bayesian Decision Making About Small
                                  Binomial Rates With Uncertainty About
                                  the Prior  . . . . . . . . . . . . . . . 164--169
                      Yijun Zuo   Is the $t$ Confidence Interval $^-X \pm
                                  t_\alpha (n - 1) (s / \sqrt {\{ n \} })$
                                  Optimal? . . . . . . . . . . . . . . . . 170--173
           Michael Friendly and   
          Pedro Valero-Mora and   
Joaquín Ibáñez Ulargui   The First (Known) Statistical Graph:
                                  Michael Florent van Langren and the
                                  ``Secret'' of Longitude  . . . . . . . . 185--191
               Michael P. Cohen   Letter to the Editor . . . . . . . . . . 192--192
              Martin Hogbin and   
                      W. Nijdam   Letter to the Editor . . . . . . . . . . 193--194
                      Anonymous   Correction . . . . . . . . . . . . . . . 195--195

The American Statistician
Volume 64, Number 3, August, 2010

             David Beaudoin and   
                  Tim B. Swartz   Strategies for Pulling the Goalie in
                                  Hockey . . . . . . . . . . . . . . . . . 197--204
           Martin Wolkewitz and   
            Arthur Allignol and   
          Martin Schumacher and   
                 Jan Beyersmann   Two Pitfalls in Survival Analyses of
                                  Time-Dependent Exposure: a Case Study in
                                  a Cohort of Oscar Nominees . . . . . . . 205--211
                  Nancy S. Hall   Ronald Fisher and Gertrude Cox: Two
                                  Statistical Pioneers Sometimes Cooperate
                                  and Sometimes Collide  . . . . . . . . . 212--220
               David Aldous and   
                      Tung Phan   When Can One Test an Explanation?
                                  Compare and Contrast Benford's Law and
                                  the Fuzzy CLT  . . . . . . . . . . . . . 221--227
                     Mark Inlow   A Moment Generating Function Proof of
                                  the Lindeberg--Lévy Central Limit Theorem 228--230
             Nitis Mukhopadhyay   When Finiteness Matters: Counterexamples
                                  to Notions of Covariance, Correlation,
                                  and Independence . . . . . . . . . . . . 231--233
             Joe Hirschberg and   
                      Jenny Lye   A Geometric Comparison of the Delta and
                                  Fieller Confidence Intervals . . . . . . 234--241
                     Jesse Frey   Fixed-Width Sequential Confidence
                                  Intervals for a Proportion . . . . . . . 242--249
                  Hsiuying Wang   Closed Form Prediction Intervals Applied
                                  for Disease Counts . . . . . . . . . . . 250--256
            Russell Y. Webb and   
             Peter J. Smith and   
                  Abdulla Firag   On the Probability of Improved Accuracy
                                  With Increased Sample Size . . . . . . . 257--262
                Ke-Hai Yuan and   
               Peter M. Bentler   Consistency of Normal-Distribution-Based
                                  Pseudo Maximum Likelihood Estimates When
                                  Data Are Missing at Random . . . . . . . 263--267
                      Anonymous   Reviews of Books and Teaching Materials  268--275
                      Anonymous   Letters to the Editor  . . . . . . . . . 276--276

The American Statistician
Volume 64, Number 4, November, 2010

             Stephen M. Stigler   The Changing History of Robustness . . . 277--281
          Joseph Blitzstein and   
                   Xiao-Li Meng   Nano-Project Qualifying Exam Process: An
                                  Intensified Dialogue Between Students
                                  and Faculty  . . . . . . . . . . . . . . 282--290
                  Zhiguo Li and   
        Jeremy M. G. Taylor and   
                        Bin Nan   Construction of Confidence Intervals and
                                  Regions for Ordered Binomial
                                  Probabilities  . . . . . . . . . . . . . 291--298
                Ruth Heller and   
          Paul R. Rosenbaum and   
                 Dylan S. Small   Using the Cross-Match Test to Appraise
                                  Covariate Balance in Matched Pairs . . . 299--309
              Michael J. Schell   Identifying Key Statistical Papers From
                                  1985 to 2002 Using Citation Data for
                                  Applied Biostatisticians . . . . . . . . 310--317
               Ariel Alonso and   
           Saskia Liti\`ere and   
              Annouschka Laenen   A Note on the Indeterminacy of the
                                  Random-Effects Distribution in
                                  Hierarchical Models  . . . . . . . . . . 318--324
            James S. Hodges and   
                 Brian J. Reich   Adding Spatially-Correlated Errors Can
                                  Mess Up the Fixed Effect You Love  . . . 325--334
             Henry W. Block and   
               Thomas H. Savits   A General Example for Benford Data . . . 335--339
               Sander Greenland   Simpson's Paradox From Adding Constants
                                  in Contingency Tables as an Example of
                                  Bayesian Noncollapsibility . . . . . . . 340--344
                   Kenneth Rice   A Decision-Theoretic Formulation of
                                  Fisher's Approach to Testing . . . . . . 345--349
           Elena Kulinskaya and   
       Stephan Morgenthaler and   
              Robert G. Staudte   Variance Stabilizing the Difference of
                                  Two Binomial Proportions . . . . . . . . 350--356
                      Anonymous   Reviews of Books and Teaching Materials  357--361
                      Anonymous   Letters to the Editor  . . . . . . . . . 362--363
                      Anonymous   2010 Editorial Collaborators . . . . . . 364--365
                      Anonymous   Index to Volume 64 . . . . . . . . . . . 366--368


The American Statistician
Volume 65, Number 1, February, 2011

              Joan Garfield and   
            Andrew Zieffler and   
              Daniel Kaplan and   
             George W. Cobb and   
             Beth L. Chance and   
                John P. Holcomb   Rethinking Assessment of Student
                                  Learning in Statistics Courses . . . . . 1--10
             Dylan S. Small and   
             Kevin G. Volpp and   
              Paul R. Rosenbaum   Structured Testing of $ 2 \times 2 $
                                  Factorial Effects: An Analytic Plan
                                  Requiring Fewer Observations . . . . . . 11--15
             Andrew J. Cron and   
                      Mike West   Efficient Classification-Based
                                  Relabeling in Mixture Models . . . . . . 16--20
                      Bo Lu and   
              Robert Greevy and   
                   Xinyi Xu and   
                      Cole Beck   Optimal Nonbipartite Matching and Its
                                  Statistical Applications . . . . . . . . 21--30
                  Chan Zeng and   
               Zhaoxing Pan and   
         Samantha MaWhinney and   
       Anna E. Barón and   
                  Gary O. Zerbe   Permutation and $F$ Distribution of
                                  Tests in the Multivariate General Linear
                                  Model  . . . . . . . . . . . . . . . . . 31--36
               Herbert A. David   Euler's Contributions to Mathematics
                                  Useful in Statistics . . . . . . . . . . 37--42
                Robert A. Oster   Section Editor's Notes . . . . . . . . . 43--43
          William V. Harper and   
          Ted G. Eschenbach and   
                Thomas R. James   Concerns About Maximum Likelihood
                                  Estimation for the Three-Parameter
                                  Weibull Distribution: Case Study of
                                  Statistical Software . . . . . . . . . . 44--54
                  Yeting Du and   
          Christopher Hundt and   
               David B. Wolfson   Previously Unrecognized Links Between
                                  Statistical Dependence and Some Common
                                  Modes of Convergence . . . . . . . . . . 55--60
                      Anonymous   Reviews of Books and Teaching Materials  61--68
                      Anonymous   Letters to the Editors . . . . . . . . . 69--69

The American Statistician
Volume 65, Number 2, May, 2011

            Melissa D. Begg and   
               Roger D. Vaughan   Are Biostatistics Students Prepared to
                                  Succeed in the Era of Interdisciplinary
                                  Science? (And How Will We Know?) . . . . 71--79
Jean-François Plante and   
                     Nancy Reid   Statistics in the News . . . . . . . . . 80--88
                M. C. Jones and   
                J. F. Rosco and   
                  Arthur Pewsey   Skewness-Invariant Measures of Kurtosis  89--95
          James B. McDonald and   
                 Patrick Turley   Distributional Characteristics: Just a
                                  Few More Moments . . . . . . . . . . . . 96--103
             Hakan Demirtas and   
                 Donald Hedeker   A Practical Way for Computing
                                  Approximate Lower and Upper Correlation
                                  Bounds . . . . . . . . . . . . . . . . . 104--109
                    Kevin Hayes   A Geometrical Interpretation of an
                                  Alternative Formula for the Sample
                                  Covariance . . . . . . . . . . . . . . . 110--112
                Robert A. Oster   Section Editor's Notes . . . . . . . . . 113--114
              S. S. J. Wang and   
                     M. P. Wand   Using \tt Infer.NET for Statistical
                                  Analyses . . . . . . . . . . . . . . . . 115--126
                     Li Zhu and   
                   Liyun Ni and   
                        Bin Yao   Group Sequential Methods and Software
                                  Applications . . . . . . . . . . . . . . 127--135
                      Anonymous   Reviews of Books and Teaching Materials  136--139
                      Anonymous   Letters to the Editors . . . . . . . . . 140--140
               Theodore P. Hill   Letter to the Editor: Benford's Law
                                  Blunders . . . . . . . . . . . . . . . . 141--141

The American Statistician
Volume 65, Number 3, August, 2011

            John W. Emerson and   
               Taylor B. Arnold   Statistical Sleuthing by Leveraging
                                  Human Nature: a Study of Olympic Figure
                                  Skating  . . . . . . . . . . . . . . . . 143--148
           Dennis Gilliland and   
                    Don Edwards   Using Randomized Confidence Limits to
                                  Balance Risk: An Application to Medicare
                                  Investigations . . . . . . . . . . . . . 149--153
            Hayley E. Jones and   
         David J. Spiegelhalter   The Identification of ``Unusual''
                                  Health-Care Providers From a
                                  Hierarchical Model . . . . . . . . . . . 154--163
              Nathan Morris and   
                  Robert Elston   A Note on Comparing the Power of Test
                                  Statistics at Low Significance Levels    164--166
                Carey E. Priebe   Fisher's Conditionality Principle in
                                  Statistical Pattern Recognition  . . . . 167--169
              G. D. I. Barr and   
                       K. Dowie   Swivelling Probabilities --- The Winning
                                  Hand at Poker  . . . . . . . . . . . . . 170--176
         Christine Franklin and   
              Brad Hartlaub and   
                  Roxy Peck and   
          Richard Scheaffer and   
                David Thiel and   
    Katherine Tranbarger Freier   AP Statistics: Building Bridges Between
                                  High School and College Statistics
                                  Education  . . . . . . . . . . . . . . . 177--182
            Nicole A. Lazar and   
                Jaxk Reeves and   
             Christine Franklin   A Capstone Course for Undergraduate
                                  Statistics Majors  . . . . . . . . . . . 183--189
               Marlene A. Smith   Missteps in Multiple Regression Student
                                  Projects: Beyond
                                  Association-Not-Causation  . . . . . . . 190--197
                      Yong Kong   The Expectation of Sample Central
                                  Moments  . . . . . . . . . . . . . . . . 198--199
                Robert A. Oster   Section Editor's Notes . . . . . . . . . 200--200
                      Anonymous   Reviews of Books and Teaching Materials  201--208
                      Anonymous   Letters to the Editors . . . . . . . . . 209--211

The American Statistician
Volume 65, Number 4, November, 2011

             Dennis D. Boos and   
           Leonard A. Stefanski   $P$-Value Precision and Reproducibility  213--221
                   Colin Foster   The Significance of a Square-Root Rule   222--222
          Josue G. Martinez and   
         Raymond J. Carroll and   
         Samuel Müller and   
          Joshua N. Sampson and   
            Nilanjan Chatterjee   Empirical Performance of
                                  Cross-Validation With Oracle Methods in
                                  a Genomics Context . . . . . . . . . . . 223--228
 José R. Zubizarreta and   
         Caroline E. Reinke and   
             Rachel R. Kelz and   
          Jeffrey H. Silber and   
              Paul R. Rosenbaum   Matching for Several Sparse Nominal
                                  Variables in a Case-Control Study of
                                  Readmission Following Surgery  . . . . . 229--238
                  Yung-Pin Chen   Do the Chi-Square Test and Fisher's
                                  Exact Test Agree in Determining Extreme
                                  for $ 2 \times 2 $ Tables? . . . . . . . 239--245
            Prakash Gorroochurn   Errors of Probability in Historical
                                  Context  . . . . . . . . . . . . . . . . 246--254
             Lyle D. Broemeling   An Account of Early Statistical
                                  Inference in Arab Cryptology . . . . . . 255--257
                Edith Seier and   
              Douglas G. Bonett   A Polyplot for Visualizing Location,
                                  Spread, Skewness, and Kurtosis . . . . . 258--261
                Yves Nievergelt   Increasing Data with a Negative Slope    262--262
                Robert A. Oster   Section Editor's Notes . . . . . . . . . 263--264
          Kellie B. Keeling and   
                Robert J. Pavur   Statistical Accuracy of Spreadsheet
                                  Software . . . . . . . . . . . . . . . . 265--273
              Brady T. West and   
             Andrzej T. Galecki   An Overview of Current Software
                                  Procedures for Fitting Linear Mixed
                                  Models . . . . . . . . . . . . . . . . . 274--282
                      Anonymous   Reviews of Books and Teaching Materials  283--297
                      Anonymous   2011 Editorial Collaborators . . . . . . 298--299


The American Statistician
Volume 66, Number 1, 2012

             Philippe Barbe and   
             William C. Horrace   A Critical Reanalysis of Maryland State
                                  Police Searches  . . . . . . . . . . . . 1--7
                 Jesse Frey and   
     Andrés Pérez   Exact Binomial Confidence Intervals for
                                  Randomized Response  . . . . . . . . . . 8--15
          Robert S. Poulson and   
            Gary L. Gadbury and   
               David B. Allison   Treatment Heterogeneity and Individual
                                  Qualitative Interaction  . . . . . . . . 16--24
              A. S. Hedayat and   
                      Guoqin Su   Robustness of the Simultaneous
                                  Estimators of Location and Scale From
                                  Approximating a Histogram by a Normal
                                  Density Curve  . . . . . . . . . . . . . 25--33
          Bailey K. Fosdick and   
              Adrian E. Raftery   Estimating the Correlation in Bivariate
                                  Normal Data With Known Variances and
                                  Small Sample Sizes . . . . . . . . . . . 34--41
          Michael L. Lavine and   
                James S. Hodges   On Rigorous Specification of ICAR Models 42--49
     Alvaro Nosedal-Sanchez and   
          Curtis B. Storlie and   
           Thomas C. M. Lee and   
             Ronald Christensen   Reproducing Kernel Hilbert Spaces for
                                  Penalized Regression: a Tutorial . . . . 50--60
                Daniel F. Stone   Measurement Error and the Hot Hand . . . 61--66
                      Anonymous   Reviews of Books and Teaching Materials  67--74

The American Statistician
Volume 66, Number 2, 2012

         John W. Seaman III and   
         John W. Seaman Jr. and   
                James D. Stamey   Hidden Dangers of Specifying
                                  Noninformative Priors  . . . . . . . . . 77--84
            Tanya P. Garcia and   
                Priya Kohli and   
              Mohsen Pourahmadi   Regressograms and Mean-Covariance Models
                                  for Incomplete Longitudinal Data . . . . 85--91
            Shelley Hurwitz and   
              John S. Gardenier   Ethical Guidelines for Statistical
                                  Practice: The First 60 Years and Beyond  99--103
               Ruud Wetzels and   
     Raoul P. P. P. Grasman and   
           Eric-Jan Wagenmakers   A Default Bayesian Hypothesis Test for
                                  ANOVA Designs  . . . . . . . . . . . . . 104--111
                     Ananda Sen   On the Interrelation Between the Sample
                                  Mean and the Sample Variance . . . . . . 112--117
                Jay M. Ver Hoef   Who Invented the Delta Method? . . . . . 124--127

The American Statistician
Volume 66, Number 3, 2012

       Theodore G. Karrison and   
             Mark J. Ratain and   
          Walter M. Stadler and   
                 Gary L. Rosner   Estimation of Progression-Free Survival
                                  for All Treated Patients in the
                                  Randomized Discontinuation Trial Design  155--162
            Iliana Ignatova and   
          Roland C. Deutsch and   
                    Don Edwards   Closed Sequential and Multistage
                                  Inference on Binary Responses With or
                                  Without Replacement  . . . . . . . . . . 163--172
               Mehmet Kocak and   
               Arzu Onar-Thomas   A Simulation-Based Evaluation of the
                                  Asymptotic Power Formulas for Cox Models
                                  in Small Sample Cases  . . . . . . . . . 173--179
              Lingyun Zhang and   
                Xinzhong Xu and   
                     Gemai Chen   The Exact Likelihood Ratio Test for
                                  Equality of Two Normal Populations . . . 180--184
  José R. Berrendero and   
          Javier Cárcamo   The Tangent Classifier . . . . . . . . . 185--194
           Michael Friendly and   
       Nicolas de Sainte Agathe   André-Michel Guerry's Ordonnateur
                                  Statistique: The First Statistical
                                  Calculator?  . . . . . . . . . . . . . . 195--200
                      Anonymous   Reviews of Books and Teaching Materials  201--206
               Lawren Smithline   Letter to the Editor . . . . . . . . . . 207--207

The American Statistician
Volume 66, Number 4, 2012

                Sarah Keogh and   
                  Donal O'Neill   A Statistical Analysis of the Fairness
                                  of Alternative Handicapping Systems in
                                  Ten-Pin Bowling  . . . . . . . . . . . . 209--213
                 Steven G. From   A Comparison of the Moment and Factorial
                                  Moment Bounds for Discrete Random
                                  Variables  . . . . . . . . . . . . . . . 214--216
                   Tommy Wright   The Equivalence of Neyman Optimum
                                  Allocation for Sampling and Equal
                                  Proportions for Apportioning the U.S.
                                  House of Representatives . . . . . . . . 217--224
          Yves Tillé and   
                   Matti Langel   Histogram-Based Interpolation of the
                                  Lorenz Curve and Gini Index for Grouped
                                  Data . . . . . . . . . . . . . . . . . . 225--231
                     Liang Hong   A Remark on the Alternative Expectation
                                  Formula  . . . . . . . . . . . . . . . . 232--233
             Stavros Kourouklis   A New Estimator of the Variance Based on
                                  Minimizing Mean Squared Error  . . . . . 234--236
            J. Kelly Cunningham   Should \em S Get More Press? . . . . . . 237--237
                Robert A. Oster   Section Editor's Notes . . . . . . . . . 238--238
                      Anonymous   Reviews of Books and Teaching Materials  239--242
                      Anonymous   Letter to the Editor . . . . . . . . . . 243--245
                      Anonymous   Editorial Collaborators  . . . . . . . . 246--247
                      Anonymous   Editorial Board EOV  . . . . . . . . . . ebi--ebi


The American Statistician
Volume 67, Number 1, 2013

              Andrew Gelman and   
            Christian P. Robert   ``Not Only Defended But Also Applied'':
                                  The Perceived Absurdity of Bayesian
                                  Inference  . . . . . . . . . . . . . . . 1--5
                Stephen Stigler   Comment: Bayesian Inference: The Rodney
                                  Dangerfield of Statistics? . . . . . . . 6--7
            Stephen E. Fienberg   Comment: Bayesian Ideas Reemerged in the
                                  1950s  . . . . . . . . . . . . . . . . . 7--8
              Wesley O. Johnson   Comment: Bayesian Statistics in the
                                  Twenty First Century . . . . . . . . . . 9--11
                Deborah G. Mayo   Discussion: Bayesian Methods: Applied?
                                  Yes. Philosophical Defense? In Flux  . . 11--15
              Andrew Gelman and   
            Christian P. Robert   Rejoinder: The Anti-Bayesian Moment and
                                  Its Passing  . . . . . . . . . . . . . . 16--17
                   Sandy Zabell   Paul Meier on Legal Consulting . . . . . 18--21
                Rick Picard and   
                 Brian Williams   Rare Event Estimation for Computer
                                  Models . . . . . . . . . . . . . . . . . 22--32
              Valeria Sambucini   On the Nature of the Stationary Point of
                                  a Quadratic Response Surface: a Bayesian
                                  Simulation-Based Approach  . . . . . . . 33--41
                Bruce Levin and   
                Cheng-Shiun Leu   Note on an Identity Between Two Unbiased
                                  Variance Estimators for the Grand Mean
                                  in a Simple Random Effects Model . . . . 42--43
              Roberto Behar and   
                 Pere Grima and   
     Lluís Marco-Almagro   Twenty-Five Analogies for Explaining
                                  Statistical Concepts . . . . . . . . . . 44--48
           Subhash C. Bagui and   
           Dulal K. Bhaumik and   
                    K. L. Mehra   A Few Counter Examples Useful in
                                  Teaching Central Limit Theorems  . . . . 49--56
             Stephen M. Stigler   The Digital Approximation of the
                                  Binomial by the Poisson  . . . . . . . . 57--59
                      Anonymous   Reviews of Books and Teaching Materials  60--63
                      Anonymous   Letters to the Editor  . . . . . . . . . 64--66

The American Statistician
Volume 67, Number 2, 2013

          Paul R. Rosenbaum and   
              Jeffrey H. Silber   Using the Exterior Match to Compare Two
                                  Entwined Matched Control Groups  . . . . 67--75
                   Micha Mandel   Simulation-Based Confidence Intervals
                                  for Functions With Complicated
                                  Derivatives  . . . . . . . . . . . . . . 76--81
         Anthony J. Webster and   
                   Richard Kemp   Estimating Omissions From Searches . . . 82--89
            Sergio Wechsler and   
             Rafael Izbicki and   
    Luís Gustavo Esteves   A Bayesian Look at Nonidentifiability: A
                                  Simple Example . . . . . . . . . . . . . 90--93
        Stephen B. Vardeman and   
                  Max D. Morris   Majority Voting by Independent
                                  Classifiers Can Increase Error Rates . . 94--96
              Mithat Gönen   Visualizing Longitudinal Data With
                                  Dropouts . . . . . . . . . . . . . . . . 97--103
                Robert A. Oster   Section Editor's Notes . . . . . . . . . 104--104
               Richard G. Lomax   Statistical Accuracy of iPad
                                  Applications: An Initial Examination . . 105--108
                      Anonymous   Reviews of Books and Teaching Materials  109--113
                      Anonymous   Letter to the Editor . . . . . . . . . . 114--114
                Brian Caffo and   
             Carolyn Lauzon and   
            Joachim Röhmel   Correction to ``Easy Multiplicity
                                  Control in Equivalence Testing Using Two
                                  One-Sided Tests''  . . . . . . . . . . . 115--116

The American Statistician
Volume 67, Number 3, 2013

         Francesca Greselin and   
                  Antonio Punzo   Closed Likelihood Ratio Testing
                                  Procedures to Assess Similarity of
                                  Covariance Matrices  . . . . . . . . . . 117--128
                   Kevin Wright   Revisiting Immer's Barley Data . . . . . 129--133
                Chong Zhang and   
                 Yufeng Liu and   
                   Zhengxiao Wu   On the Effect and Remedies of Shrinkage
                                  on Classification Probability Estimation 134--142
                Jingchen Hu and   
                Robin Mitra and   
                  Jerome Reiter   Are Independent Parameter Draws
                                  Necessary for Multiple Imputation? . . . 143--149
          Richard J. Barker and   
                William A. Link   Bayesian Multimodel Inference by RJMCMC:
                                  A Gibbs Sampling Approach  . . . . . . . 150--156
             Daniel A. Griffith   Better Articulating Normal Curve Theory
                                  for Introductory Mathematical Statistics
                                  Students: Power Transformations and
                                  Their Back-Transformations . . . . . . . 157--169
                Robert A. Oster   Section Editor's Notes . . . . . . . . . 170--170
               Yoonsang Kim and   
              Young-Ku Choi and   
                   Sherry Emery   Logistic Regression With Multiple Random
                                  Effects: A Simulation Study of
                                  Estimation Methods and Statistical
                                  Packages . . . . . . . . . . . . . . . . 171--182
                      Anonymous   Reviews of Books and Teaching Materials  183--189
                      Anonymous   Letter to the Editor . . . . . . . . . . 190--190

The American Statistician
Volume 67, Number 4, 2013

               Kristian Lum and   
          Megan Emily Price and   
                    David Banks   Applications of Multiple Systems
                                  Estimation in Human Rights Research  . . 191--200
            Stephen E. Fienberg   Comment: Innovations Associated with
                                  Multiple Systems Estimation in Human
                                  Rights Settings  . . . . . . . . . . . . 201--202
               Joseph B. Kadane   Comment  . . . . . . . . . . . . . . . . 202--203
                 Fritz Scheuren   Comment  . . . . . . . . . . . . . . . . 203--205
               Kristian Lum and   
          Megan Emily Price and   
                    David Banks   Rejoinder  . . . . . . . . . . . . . . . 205--206
                 Paul Fogel and   
         Douglas M. Hawkins and   
              Chris Beecher and   
                George Luta and   
               S. Stanley Young   A Tale of Two Matrix Factorizations  . . 207--218
             Nicholas J. Horton   I Hear, I Forget. I Do, I Understand: A
                                  Modified Moore-Method Mathematical
                                  Statistics Course  . . . . . . . . . . . 219--228
              Howard Gitlow and   
                    Hernan Awad   Intro Stats Students Need Both
                                  Confidence and Tolerance (Intervals) . . 229--234
                   Yeyi Zhu and   
         Ladia M. Hernandez and   
              Peter Mueller and   
              Yongquan Dong and   
              Michele R. Forman   Data Acquisition and Preprocessing in
                                  Studies on Humans: What is Not Taught in
                                  Statistics Classes?  . . . . . . . . . . 235--241
            Richard L. Warr and   
                 Roger A. Erich   Should the Interquartile Range Divided
                                  by the Standard Deviation be Used to
                                  Assess Normality?  . . . . . . . . . . . 242--244
             Changyong Feng and   
               Hongyue Wang and   
                     Yu Han and   
                Yinglin Xia and   
                      Xin M. Tu   The Mean Value Theorem and Taylor's
                                  Expansion in Statistics  . . . . . . . . 245--248
         Sivan Aldor-Noiman and   
          Lawrence D. Brown and   
               Andreas Buja and   
             Wolfgang Rolke and   
                Robert A. Stine   The Power to See: A New Graphical Test
                                  of Normality . . . . . . . . . . . . . . 249--260
                      Anonymous   Reviews of Books and Teaching Materials  261--265
             Nancy L. Segal and   
                   Jorge Torres   A Repeated Grammatical Error Does Not
                                  Make it Right  . . . . . . . . . . . . . 266--266
                      Anonymous   Editorial Collaborators  . . . . . . . . 267--268


The American Statistician
Volume 68, Number 1, 2014

           Timothy W. Armistead   Resurrecting the Third Variable: A
                                  Critique of Pearl's Causal Analysis of
                                  Simpson's Paradox  . . . . . . . . . . . 1--7
                    Judea Pearl   Comment: Understanding Simpson's Paradox 8--13
             Ronald Christensen   Comment  . . . . . . . . . . . . . . . . 13--17
                   Keli Liu and   
                   Xiao-Li Meng   Comment: A Fruitful Resolution to
                                  Simpson's Paradox via Multiresolution
                                  Inference  . . . . . . . . . . . . . . . 17--29
              Timothy Armistead   Rejoinder  . . . . . . . . . . . . . . . 30--31
                      Peng Ding   Three Occurrences of the
                                  Hyperbolic-Secant Distribution . . . . . 32--35
              Edward J. Bedrick   Two Useful Reformulations of the Hazard
                                  Ratio  . . . . . . . . . . . . . . . . . 36--41
             Geoffrey Jones and   
              Wesley O. Johnson   Prior Elicitation: Interactive
                                  Spreadsheet Graphics With Sliders Can Be
                                  Fun, and Informative . . . . . . . . . . 42--51
               Lynn Roy LaMotte   The Gram--Schmidt Construction as a
                                  Basis for Linear Models  . . . . . . . . 52--55
                   A. J. Hayter   Simultaneous Confidence Intervals for
                                  Several Quantiles of an Unknown
                                  Distribution . . . . . . . . . . . . . . 56--62
          Matthew Schofield and   
                Patrick Breheny   Reviews of Books and Teaching Materials  63--63
             Nitis Mukhopadhyay   Griffith, D. A. (2013), ``Better
                                  Articulating Normal Curve Theory for
                                  Introductory Mathematical Statistics
                                  Students: Power Transformations and
                                  Their Back--Transformations,''
                                  \booktitleThe American Statistician, \bf
                                  67, 157-169: Comment by Mukhopadhyay and
                                  Reply  . . . . . . . . . . . . . . . . . 67--67
             Daniel A. Griffith   Reply  . . . . . . . . . . . . . . . . . 67--69

The American Statistician
Volume 68, Number 2, 2014

              David A. Harville   The Need for More Emphasis on
                                  Prediction: A ``Nondenominational''
                                  Model-Based Approach . . . . . . . . . . 71--83
                      Hal Stern   Comment  . . . . . . . . . . . . . . . . 83--84
              Dale L. Zimmerman   Comment  . . . . . . . . . . . . . . . . 85--86
               Robert McCulloch   Comment  . . . . . . . . . . . . . . . . 87--88
            Donald A. Berry and   
                 Scott M. Berry   Comment  . . . . . . . . . . . . . . . . 88--89
              David A. Harville   Rejoinder  . . . . . . . . . . . . . . . 89--92
                 Woojoo Lee and   
                   Yudi Pawitan   Direct Calculation of the Variance of
                                  Maximum Penalized Likelihood Estimates
                                  via EM Algorithm . . . . . . . . . . . . 93--97
           Reto Bürgin and   
              Gilbert Ritschard   A Decorated Parallel Coordinate Plot for
                                  Categorical Longitudinal Data  . . . . . 98--103
          Matthew W. Guerra and   
                 Justine Shults   A Note on the Simulation of
                                  Overdispersed Random Variables With
                                  Specified Marginal Means and Product
                                  Correlations . . . . . . . . . . . . . . 104--107
           Ulrike Grömping   Mosaic Plots are Useful for Visualizing
                                  Low-Order Projections of Factorial
                                  Designs  . . . . . . . . . . . . . . . . 108--116
                      Anonymous   Reviews of Books and Teaching Materials  117--124
               Stuart Baker and   
                Jian-Lun Xu and   
                    Ping Hu and   
                     Peng Huang   Vardeman, S. B. and Morris, M. D.
                                  (2013), ``Majority Voting by Independent
                                  Classifiers can Increase Error Rates,''
                                  The American Statistician, \bf 67,
                                  94--96: Comment by Baker, Xu, Hu, and
                                  Huang and Reply  . . . . . . . . . . . . 125--126
                   Bart Holland   Segal, N. L., and Torres, J. (2013), ``A
                                  Repeated Grammatical Error Does Not Make
                                  it Right,'' The American Statistician,
                                  \bf 67, 266: Comment by Holland and
                                  Reply  . . . . . . . . . . . . . . . . . 127--127
        Stephen B. Vardeman and   
                  Max D. Morris   Reply  . . . . . . . . . . . . . . . . . 127--127
             Nancy L. Segal and   
              Jorge Luis Torres   Reply  . . . . . . . . . . . . . . . . . 127--128
         Yefim Haim Michlin and   
                    Ofer Shaham   Ignatova, I., Deutsch, R. C., and
                                  Edwards, D. (2012), ``Closed Sequential
                                  and Multistage Inference on Binary
                                  Responses With or Without Replacement,''
                                  The American Statistician, \bf 66,
                                  163--172: Comment by Michlin and Shaham
                                  and Reply  . . . . . . . . . . . . . . . 128--128
              Lina Ignatova and   
          Roland C. Deutsch and   
                    Don Edwards   Reply  . . . . . . . . . . . . . . . . . 129--129
                   Gul Inan and   
              Ozlem Ilk-Dag and   
              Alexander de Leon   Kim, Y., Choi, Y.-K., and Emery, S.
                                  (2013), ``Logistic Regression With
                                  Multiple Random Effects: A Simulation
                                  Study of Estimation Methods and
                                  Statistical Packages,'' The American
                                  Statistician, \bf 67, 171--182 . . . . . 129--130
               Yoonsang Kim and   
                   Sherry Emery   Reply  . . . . . . . . . . . . . . . . . 130--131
                      Anonymous   Correction . . . . . . . . . . . . . . . 132--132

The American Statistician
Volume 68, Number 3, 2014

          Mark F. Schilling and   
                   Jimmy A. Doi   A Coverage Probability Approach to
                                  Finding an Optimal Binomial Confidence
                                  Procedure  . . . . . . . . . . . . . . . 133--145
                Weiwen Miao and   
            Joseph L. Gastwirth   New Statistical Tests for Detecting
                                  Disparate Impact Arising From Two-Stage
                                  Selection Processes  . . . . . . . . . . 146--157
              Albert Vexler and   
               Wan-Min Tsai and   
                 Alan D. Hutson   A Simple Density-Based Empirical
                                  Likelihood Ratio Test for Independence   158--169
         Djilali Ait Aoudia and   
           Éric Marchand   On a Simple Construction of a Bivariate
                                  Probability Function With a Common
                                  Marginal . . . . . . . . . . . . . . . . 170--173
       Christopher E. Marks and   
             Andrew G. Glen and   
        Matthew W. Robinson and   
             Lawrence M. Leemis   Applying Bootstrap Methods to System
                                  Reliability  . . . . . . . . . . . . . . 174--182
                  Kai Zhang and   
          Lawrence D. Brown and   
              Edward George and   
                     Linda Zhao   Uniform Correlation Mixture of Bivariate
                                  Normal Distributions and Hypercubically
                                  Contoured Densities That Are Marginally
                                  Normal . . . . . . . . . . . . . . . . . 183--187
                     Liang Hong   Two New Elementary Derivations of
                                  Geometric Expectation  . . . . . . . . . 188--190
              Peter H. Westfall   Kurtosis as Peakedness, 1905--2014.
                                  R.I.P. . . . . . . . . . . . . . . . . . 191--195
        Catherine Michalopoulou   A Unique Collaboration: Prominent
                                  Statisticians' Survey Work in Greece in
                                  1946 . . . . . . . . . . . . . . . . . . 196--203
                Robert A. Oster   Section Editor's Notes . . . . . . . . . 204--204
            Sara Fontdecaba and   
                 Pere Grima and   
          Xavier Tort-Martorell   Analyzing DOE With Statistical Software
                                  Packages: Controversies and Proposals    205--211
                      Anonymous   Reviews of Books and Teaching Materials  212--219
             Changyong Feng and   
               Hongyue Wang and   
                     Yu Han and   
                Yinglin Xia and   
                      Xin M. Tu   Reply  . . . . . . . . . . . . . . . . . 220--220
                     Liang Hong   Letter to the Editor . . . . . . . . . . 220--220

The American Statistician
Volume 68, Number 4, 2014

              Robert F. Bordley   Reference Class Forecasting: Resolving
                                  Its Challenge to Statistical Modeling    221--229
           Jennifer L. Kirk and   
                 Michael P. Fay   An Introduction to Practical Sequential
                                  Inferences via Single-Arm Binary
                                  Response Studies Using the
                                  \pkgbinseqtest R Package . . . . . . . . 230--242
                    Jun Yan and   
                   Chao Guo and   
            Laurie E. Paarlberg   Are Nonprofit Antipoverty Organizations
                                  Located Where They Are Needed? A Spatial
                                  Analysis of the Greater Hartford Region  243--252
                   Fan Yang and   
 José R. Zubizarreta and   
             Dylan S. Small and   
                Scott Lorch and   
              Paul R. Rosenbaum   Dissonant Conclusions When Testing the
                                  Validity of an Instrumental Variable . . 253--263
         Phillip E. Pfeifer and   
      Yael Grushka-Cockayne and   
     Kenneth C. Lichtendahl Jr.   The Promise of Prediction Contests . . . 264--270
            Thaddeus Tarpey and   
              R. Todd Ogden and   
                Eva Petkova and   
             Ronald Christensen   A Paradoxical Result in Estimating
                                  Regression Coefficients  . . . . . . . . 271--276
                      Shaoji Xu   A Property of Geometric Mean Regression  277--281
                     B. O'Neill   Some Useful Moment Results in Sampling
                                  Problems . . . . . . . . . . . . . . . . 282--296
                 A. B. Owen and   
                 P. A. Roediger   The Sign of the Logistic Regression
                                  Coefficient  . . . . . . . . . . . . . . 297--301
          Vito M. R. Muggeo and   
             Gianfranco Lovison   The ``Three Plus One'' Likelihood-Based
                                  Test Statistics: Unified Geometrical and
                                  Graphical Interpretations  . . . . . . . 302--306
                      Anonymous   Reviews of Books and Teaching Materials  307--315
                      Peng Ding   Comment on Tarpey, T., Ogden, R. T.,
                                  Petkova, E., and Christensen R. (2014),
                                  ``A Paradoxical Result in Estimating
                                  Regression Coefficients,'' \booktitleThe
                                  American Statistician, \bf 68, 271--276  316--316
             Nitis Mukhopadhyay   Comment and Reply: Warr, R. L. and
                                  Erich, R. A. (2013), ``Should the
                                  Interquartile Range Divided by the
                                  Standard Deviation be Used to Assess
                                  Normality?,'' \booktitleThe American
                                  Statistician \bf 67, 242--244  . . . . . 316--317
            Richard L. Warr and   
                 Roger A. Erich   Reply  . . . . . . . . . . . . . . . . . 317--317
         Sivan Aldor-Noiman and   
          Lawrence D. Brown and   
               Andreas Buja and   
             Wolfgang Rolke and   
                Robert A. Stine   Comment: Aldor-Noiman, S., Brown, L. D.,
                                  Buja, A., Rolke, W., and Stine, R. A.
                                  (2013), ``The Power to See: A New
                                  Graphical Test of Normality,''
                                  \booktitleThe American Statistician, \bf
                                  67, 249--260 . . . . . . . . . . . . . . 318--318
                      Anonymous   Editorial Collaborators  . . . . . . . . 319--320
                      Anonymous   Editorial Board EOV  . . . . . . . . . . ebi--ebi


The American Statistician
Volume 69, Number 1, 2015

               Gregory P. Samsa   Has It Really Been Demonstrated That
                                  Most Genomic Research Findings Are
                                  False? . . . . . . . . . . . . . . . . . 1--4
                  Joel E. Cohen   Markov's Inequality and Chebyshev's
                                  Inequality for Tail Probabilities: A
                                  Sharper Image  . . . . . . . . . . . . . 5--7
                     Liang Hong   The Absolute Difference Law For
                                  Expectations . . . . . . . . . . . . . . 8--10
                Lisa M. Lee and   
         Frances A. McCarty and   
                 Tenny R. Zhang   Ethical Numbers: Ethics Training in U.S.
                                  Graduate Statistics Programs, 2013--2014 11--16
           Valeria Espinosa and   
                Donald B. Rubin   Did the Military Interventions in the
                                  Mexican Drug War Increase Violence?  . . 17--27
                   Wei Wang and   
                 Dylan S. Small   Monotone B-Spline Smoothing for a
                                  Generalized Linear Model Response  . . . 28--33
           Guangxiang Zhang and   
                   John J. Chen   Biostatistics Faculty and NIH Awards at
                                  U.S. Medical Schools . . . . . . . . . . 34--40
                Stephen Portnoy   Maximizing Probability Bounds Under
                                  Moment-Matching Restrictions . . . . . . 41--44
          Yaakov Malinovsky and   
                 Paul S. Albert   A Note on the Minimax Solution for the
                                  Two-Stage Group Testing Problem  . . . . 45--52
                      Anonymous   Book Review: Reviews of Books and
                                  Teaching Materials . . . . . . . . . . . 53--61
            Spyros Missiakoulis   Letter to the Editor . . . . . . . . . . 62--62

The American Statistician
Volume 69, Number 2, 2015

               Jessica Utts and   
                   Nicole Lazar   Editors' Note  . . . . . . . . . . . . . 63--63
       Christy Chuang-Stein and   
 Narayanaswamy Balakrishnan and   
           Marcus Berzofsky and   
                Amy Herring and   
               Fred Hulting and   
              John McKenzie and   
               Dionne Price and   
            Stephen Stigler and   
            George Williams and   
             Ronald Wasserstein   Celebrating the 175th Anniversary of ASA 64--67
            Robert L. Mason and   
           John D. McKenzie Jr.   A Brief History of the American
                                  Statistical Association, 1990--2014  . . 68--78
               James J. Cochran   ASA Presidents and Executive Directors
                                  Look Back on their Terms in Office . . . 79--85
          Jon R. Kettenring and   
         Kenneth J. Koehler and   
           John D. McKenzie Jr.   Challenges and Opportunities for
                                  Statistics in the Next 25 Years  . . . . 86--90
            Robert N. Rodriguez   Who Will Celebrate Our 200th
                                  Anniversary? Growing the Next Generation
                                  of ASA Members . . . . . . . . . . . . . 91--95
                Ron Wasserstein   Communicating the Power and Impact of
                                  Our Profession: A Heads Up for the Next
                                  Executive Directors of the ASA . . . . . 96--99
                   Jessica Utts   The Many Facets of Statistics Education:
                                  175 Years of Common Themes . . . . . . . 100--107
            David L. DeMets and   
          Janet Turk Wittes and   
                Nancy L. Geller   The Influence of Biostatistics at the
                                  National Heart, Lung, and Blood
                                  Institute  . . . . . . . . . . . . . . . 108--120
           Allan J. Rossman and   
            Roy St. Laurent and   
                     Josh Tabor   Advanced Placement Statistics: Expanding
                                  the Scope of Statistics Education  . . . 121--126
                  Eric A. Vance   Recent Developments and Their
                                  Implications for the Future of Academic
                                  Statistical Consulting Centers . . . . . 127--137
             Nicholas J. Horton   Challenges and Opportunities for
                                  Statistics and Statistical Education:
                                  Looking Back, Looking Forward  . . . . . 138--145
             Saralees Nadarajah   On the Computation of Gauss
                                  Hypergeometric Functions . . . . . . . . 146--148
                      Anonymous   Reviews of Books and Teaching Materials  149--153
              Robert Easterling   There's Nothing Wrong With
                                  Clopper--Pearson Binomial Confidence
                                  Limits . . . . . . . . . . . . . . . . . 154--155
          Mark F. Schilling and   
                   Jimmy A. Doi   Reply  . . . . . . . . . . . . . . . . . 155--156

The American Statistician
Volume 69, Number 3, 2015

                     Liang Hong   Another Remark on the Alternative
                                  Expectation Formula  . . . . . . . . . . 157--159
       Per Gösta Andersson   A Classroom Approach to the Construction
                                  of an Approximate Confidence Interval of
                                  a Poisson Mean Using One Observation . . 160--164
                Joyee Ghosh and   
              Andrew E. Ghattas   Bayesian Variable Selection Under
                                  Collinearity . . . . . . . . . . . . . . 165--173
                Darrick Yee and   
                      Andrew Ho   Discreteness Causes Bias in
                                  Percentage-Based Comparisons: A Case
                                  Study From Educational Testing . . . . . 174--181
       Timothy A. C. Hughes and   
                   Jaechoul Lee   A New Test for Short Memory in Long
                                  Memory Time Series . . . . . . . . . . . 182--190
                 Shiyao Liu and   
                Huaiqing Wu and   
              William Q. Meeker   Understanding and Addressing the
                                  Unbounded ``Likelihood'' Problem . . . . 191--200
      Anne-Laure Boulesteix and   
               Robert Hable and   
               Sabine Lauer and   
           Manuel J. A. Eugster   A Statistical Framework for Hypothesis
                                  Testing in Real Data Comparison Studies  201--212
             Derek S. Young and   
           Glenn F. Johnson and   
                 Mosuk Chow and   
           James L. Rosenberger   The Challenges in Developing an Online
                                  Applied Statistics Program: Lessons
                                  Learned at Penn State University . . . . 213--220
                 Hyunju Lee and   
                    Ji Hwan Cha   On Two General Classes of Discrete
                                  Bivariate Distributions  . . . . . . . . 221--230
             Brigitte Baldi and   
                   Jessica Utts   What Your Future Doctor Should Know
                                  About Statistics: Must-Include Topics
                                  for Introductory Undergraduate
                                  Biostatistics  . . . . . . . . . . . . . 231--240
                  P. Vellaisamy   On Probabilistic Proofs of Certain
                                  Binomial Identities  . . . . . . . . . . 241--243
                      Anonymous   Reviews of Books and Teaching Materials  244--252
             R. Dennis Cook and   
            Liliana Forzani and   
                   Adam Rothman   Letter to the Editor . . . . . . . . . . 253--254
            Thaddeus Tarpey and   
              R. Todd Ogden and   
                Eva Petkova and   
             Ronald Christensen   Reply  . . . . . . . . . . . . . . . . . 254--255
                      Peng Ding   Reply  . . . . . . . . . . . . . . . . . 255--256
            Iliana Ignatova and   
             Roland Deutsch and   
                    Don Edwards   Kirk, J. L., and Fay, M. P. ``An
                                  Introduction to Practical Sequential
                                  Inferences Via Single-Arm Binary
                                  Response Studies Using the Binseqtest R
                                  Package,'' \em The American
                                  Statistician, \bf 68, 230--242 . . . . . 256--257
               Emil M. Friedman   Nontransitivity, Correlation, and
                                  Causation: Langford, E., Schwertman, N.,
                                  and Owens, M. (2001), ``Is the Property
                                  of Being Positively Correlated
                                  Transitive?'' The American Statistician,
                                  \bf 55, 322--325: Comment by Friedman    257--257
      Stavros D. Veresoglou and   
             Matthias C. Rillig   Evidence-Based Data Analysis: Protecting
                                  the World From Bad Code? Comment by
                                  Veresoglou and Rillig  . . . . . . . . . 257--257

The American Statistician
Volume 69, Number 4, 2015

         Nicholas J. Horton and   
              Johanna S. Hardin   Teaching the Next Generation of
                                  Statistics Students to ``Think With
                                  Data'': Special Issue on Statistics and
                                  the Undergraduate Curriculum . . . . . . 259--265
                    George Cobb   Mere Renovation is Too Little Too Late:
                                  We Need to Rethink our Undergraduate
                                  Curriculum from the Ground Up  . . . . . 266--282
          Nicholas Chamandy and   
         Omkar Muralidharan and   
                   Stefan Wager   Teaching Statistics at Google-Scale  . . 283--291
              Deborah Nolan and   
             Duncan Temple Lang   Explorations in Statistics Research: An
                                  Approach to Expose Undergraduates to
                                  Authentic Data Analysis  . . . . . . . . 292--299
           Byran J. Smucker and   
                 A. John Bailer   Beyond Normal: Preparing Undergraduates
                                  for the Work Force in a Statistical
                                  Consulting Capstone  . . . . . . . . . . 300--306
              Scott D. Grimshaw   A Framework for Infusing Authentic Data
                                  Experiences Within Statistics Courses    307--314
          Jennifer L. Green and   
            Erin E. Blankenship   Fostering Conceptual Understanding in
                                  Mathematical Statistics  . . . . . . . . 315--325
          Natalie J. Blades and   
          G. Bruce Schaalje and   
         William F. Christensen   The Second Course in Statistics: Design
                                  and Analysis of Experiments? . . . . . . 326--333
                     Ben Baumer   A Data Science Course for
                                  Undergraduates: Thinking With Data . . . 334--342
                  J. Hardin and   
                   R. Hoerl and   
         Nicholas J. Horton and   
                   D. Nolan and   
                  B. Baumer and   
               O. Hall-Holt and   
                 P. Murrell and   
                    R. Peng and   
                  P. Roback and   
             D. Temple Lang and   
                     M. D. Ward   Data Science in Statistics Curricula:
                                  Preparing Students to ``Think with
                                  Data'' . . . . . . . . . . . . . . . . . 343--353
              Shonda Kuiper and   
           Rodney X. Sturdivant   Using Online Game-Based Simulations to
                                  Strengthen Students' Understanding of
                                  Practical Statistical Issues in
                                  Real-World Data Analysis . . . . . . . . 354--361
              Nathan Tintle and   
                Beth Chance and   
                George Cobb and   
                   Soma Roy and   
               Todd Swanson and   
               Jill VanderStoep   Combating Anti-Statistical Thinking
                                  Using Simulation-Based Methods
                                  Throughout the Undergraduate Curriculum  362--370
              Tim C. Hesterberg   What Teachers Should Know About the
                                  Bootstrap: Resampling in the
                                  Undergraduate Statistics Curriculum  . . 371--386
              Davit Khachatryan   Incorporating Statistical Consulting
                                  Case Studies in Introductory Time Series
                                  Courses  . . . . . . . . . . . . . . . . 387--396
             Scotland Leman and   
               Leanna House and   
                   Andrew Hoegh   Developing a New Interdisciplinary
                                  Computational Analytics Undergraduate
                                  Program: A
                                  Qualitative-Quantitative-Qualitative
                                  Approach . . . . . . . . . . . . . . . . 397--408
                Beth Chance and   
                      Roxy Peck   From Curriculum Guidelines to Learning
                                  Outcomes: Assessment at the Program
                                  Level  . . . . . . . . . . . . . . . . . 409--416
       Allison Amanda Moore and   
             Jennifer J. Kaplan   Program Assessment for an Undergraduate
                                  Statistics Major . . . . . . . . . . . . 417--424
                      Anonymous   Reviews of Books and Teaching Materials  425--434
                      Anonymous   Editorial Collaborators  . . . . . . . . 435--438
                      Anonymous   Editorial Board EOV  . . . . . . . . . . ebi--ebi


The American Statistician
Volume 70, Number 1, 2016

                      Xu Xu and   
           Peter Z. G. Qian and   
                       Qing Liu   Samurai Sudoku-Based Space-Filling
                                  Designs for Data Pooling . . . . . . . . 1--8
            Marcio A. Diniz and   
             Jasper De Bock and   
                Arthur Van Camp   Characterizing Dirichlet Priors  . . . . 9--17
           Omar A. Kittaneh and   
        Mohammad A. U. Khan and   
             Muhammed Akbar and   
                Husam A. Bayoud   Average Entropy: A New Uncertainty
                                  Measure with Application to Image
                                  Segmentation . . . . . . . . . . . . . . 18--24
               Merritt Lyon and   
               Li C. Cheung and   
            Joseph L. Gastwirth   The Advantages of Using Group Means in
                                  Estimating the Lorenz Curve and Gini
                                  Index From Grouped Data  . . . . . . . . 25--32
               Eugene Demidenko   The $p$-Value You Can't Buy  . . . . . . 33--38
              Joseph J. Lee and   
                Donald B. Rubin   Evaluating the Validity of Post-Hoc
                                  Subgroup Inferences: A Case Study  . . . 39--46
          Corwin Matthew Zigler   The Central Role of Bayes' Theorem for
                                  Joint Estimation of Causal Effects and
                                  Propensity Scores  . . . . . . . . . . . 47--54
                Robert Lund and   
                   Gang Liu and   
                       Qin Shao   A New Approach to ANOVA Methods for
                                  Autocorrelated Data  . . . . . . . . . . 55--62
           Timothy W. Armistead   Misunderstood and Unattributed:
                                  Revisiting M. H. Doolittle's Measures of
                                  Association, With a Note on Bayes'
                                  Theorem  . . . . . . . . . . . . . . . . 63--73
               R. Wayne Oldford   Self-Calibrating Quantile-Quantile Plots 74--90
             Jocelyn T. Chi and   
                Eric C. Chi and   
            Richard G. Baraniuk   $k$-POD: A Method for $k$-Means
                                  Clustering of Missing Data . . . . . . . 91--99
                  John E. Angus   Bootstrapping a Universal Pivot When
                                  Nuisance Parameters are Estimated  . . . 100--107
                 Tal Galili and   
                Isaac Meilijson   An Example of an Improvable
                                  Rao--Blackwell Improvement, Inefficient
                                  Maximum Likelihood Estimator, and
                                  Unbiased Generalized Bayes Estimator . . 108--113
          Iain L. MacDonald and   
              Brendon M. Lapham   Even More Direct Calculation of the
                                  Variance of a Maximum
                                  Penalized-Likelihood Estimator . . . . . 114--118
                Philip B. Stark   Book Review: \booktitlePrivacy, Big
                                  Data, and the Public Good: Frameworks
                                  for Engagement, Julia Lane , Victoria
                                  Stodden , Stefan Bender , and Helen
                                  Nissenbaum (eds.). New York, NY:
                                  Cambridge University Press, 2014, xix +
                                  320 pp., \$29.99 (P), ISBN:
                                  978-1-107-63768-9} . . . . . . . . . . . 119--119
                      Anonymous   Reviews of Books and Teaching Materials  120--126
             Stephen M. Stigler   Letter to the Editor . . . . . . . . . . 127--127

The American Statistician
Volume 70, Number 2, 2016

      Ronald L. Wasserstein and   
                Nicole A. Lazar   The ASA's Statement on $p$-Values:
                                  Context, Process, and Purpose  . . . . . 129--133
      Hossein Hoshyarmanesh and   
         Amirhossein Karami and   
              Adel Mohammadpour   Confidence Intervals for the Scale
                                  Parameter of Exponential Family of
                                  Distributions  . . . . . . . . . . . . . 134--137
                 Pere Grima and   
             Lourdes Rodero and   
          Xavier Tort-Martorell   Explaining the Importance of Variability
                                  to Engineering Students  . . . . . . . . 138--142
                 Hakan Demirtas   A Note on the Relationship Between the
                                  Phi Coefficient and the Tetrachoric
                                  Correlation Under Nonnormal Underlying
                                  Distributions  . . . . . . . . . . . . . 143--148
                  Henry S. Lynn   Training the Next Generation of
                                  Statisticians: From Head to Heart  . . . 149--151
              Michael D. Porter   A Statistical Approach to Crime Linkage  152--165
           Martin L. Lesser and   
        Meredith B. Akerman and   
                      Nina Kohn   Analogies for Helping Clinicians and
                                  Investigators Better Understand the
                                  Principles and Practice of Biostatistics 166--170
Eloísa Díaz-Francés   Simple Estimation Intervals for Poisson,
                                  Exponential, and Inverse Gaussian Means
                                  Obtained by Symmetrizing the Likelihood
                                  Function . . . . . . . . . . . . . . . . 171--180
            Thaddeus Tarpey and   
                  R. Todd Ogden   Statistical Modeling to Inform Optimal
                                  Game Strategy: Markov Plays H-O-R-S-E    181--186
           Susan M. Perkins and   
            Peter Bacchetti and   
           Cynthia S. Davey and   
    Christopher J. Lindsell and   
             Madhu Mazumdar and   
            Robert A. Oster and   
           Peter N. Peduzzi and   
             David M. Rocke and   
             Kyle D. Rudser and   
                   Mimi Kim and   
          the Biostatistics and   
               Epidemiology and   
Research Design (BERD) Key Function Committee of the Clinical and   
Translational Science (CTSA) Consortium   Best Practices for Biostatistical
                                  Consultation and Collaboration in
                                  Academic Health Centers  . . . . . . . . 187--194
                   Min Wang and   
                  Guangying Liu   A Simple Two-Sample Bayesian $t$-Test
                                  for Hypothesis Testing . . . . . . . . . 195--201
                   Adam Loy and   
             Lendie Follett and   
                  Heike Hofmann   Variations of $Q$--$Q$ Plots: The Power
                                  of Our Eyes! . . . . . . . . . . . . . . 202--214
    Christopher S. Pentoney and   
                 Dale E. Berger   Confidence Intervals and the
                                  Within-the-Bar Bias  . . . . . . . . . . 215--220
                      Anonymous   Reviews of Books and Teaching Materials  221--223
             Saralees Nadarajah   Letter to the Editor . . . . . . . . . . 224--224
                      Anonymous   Correction . . . . . . . . . . . . . . . 225--225

The American Statistician
Volume 70, Number 3, 2016

            Prakash Gorroochurn   On Galton's Change From ``Reversion'' to
                                  ``Regression'' . . . . . . . . . . . . . 227
                Xavier Puig and   
          Martí Font and   
                  Josep Ginebra   A Unified Approach to Authorship
                                  Attribution and Verification . . . . . . 232
              Albert Vexler and   
                     Li Zou and   
                 Alan D. Hutson   Data-Driven Confidence Interval
                                  Estimation Incorporating Prior
                                  Information with an Adjustment for
                                  Skewed Data  . . . . . . . . . . . . . . 243
                 J. G. Liao and   
              Duanping Liao and   
                    Arthur Berg   Calibrated Bayes Factors in Assessing
                                  Genetic Association Models . . . . . . . 250
                John C. Wierman   The Class Joke Contest: Encouraging
                                  Creativity and Improving Attendance  . . 257
              Deborah Nolan and   
                  Jamis Perrett   Teaching and Learning Data
                                  Visualization: Ideas and Assignments . . 260
             Miguel de Carvalho   Mean, What do You Mean?  . . . . . . . . 270
                    Jia Liu and   
          Daniel J. Nordman and   
              William Q. Meeker   The Number of MCMC Draws Needed to
                                  Compute Bayesian Credible Bounds . . . . 275
          Nicholas G. Reich and   
             Justin Lessler and   
         Krzysztof Sakrejda and   
           Stephen A. Lauer and   
       Sopon Iamsirithaworn and   
           Derek A. T. Cummings   Case Study in Evaluating Time Series
                                  Prediction Models Using the Relative
                                  Mean Absolute Error  . . . . . . . . . . 285
                      Peng Ding   On the Conditional Distribution of the
                                  Multivariate t Distribution  . . . . . . 293
          Christian Kleiber and   
                  Achim Zeileis   Visualizing Count Data Regressions Using
                                  Rootograms . . . . . . . . . . . . . . . 296
           Jyotirmoy Sarkar and   
                 Mamunur Rashid   Visualizing Mean, Median, Mean
                                  Deviation, and Standard Deviation of a
                                  Set of Numbers . . . . . . . . . . . . . 304
                      Anonymous   Reviews of Books and Teaching Materials  313
                    Ben O'Neill   Corrigendum  . . . . . . . . . . . . . . 323

The American Statistician
Volume 70, Number 4, 2016

           Kimihiro Noguchi and   
       Fernando Marmolejo-Ramos   Assessing Equality of Means Using the
                                  Overlap of Range-Preserving Confidence
                                  Intervals  . . . . . . . . . . . . . . . 325--334
              Leonhard Held and   
                    Manuela Ott   How the Maximal Evidence of $P$-Values
                                  Against Point Null Hypotheses Depends on
                                  Sample Size  . . . . . . . . . . . . . . 335--341
    Christopher Abdul-Chani and   
                     Jesse Frey   Improving the Big East Conference
                                  Basketball Tournament  . . . . . . . . . 342--349
          Matthias Katzfuss and   
         Jonathan R. Stroud and   
           Christopher K. Wikle   Understanding the Ensemble Kalman Filter 350--357
                    Yan Xia and   
                    Yanyun Yang   Bias Introduced by Rounding in Multiple
                                  Imputation for Ordered Categorical
                                  Variables  . . . . . . . . . . . . . . . 358--364
                  Brendan Rocks   Interval Estimation for the ``Net
                                  Promoter Score'' . . . . . . . . . . . . 365--372
             David Quarfoot and   
              Richard A. Levine   How Robust Are Multirater Interrater
                                  Reliability Indices to Changes in
                                  Frequency Distribution?  . . . . . . . . 373--384
                Jack Bowden and   
                  Chris Jackson   Weighing Evidence ``Steampunk'' Style
                                  via the Meta-Analyser  . . . . . . . . . 385--394
                    Adam Jaeger   Computation of Two- and
                                  Three-Dimensional Confidence Regions
                                  With the Likelihood Ratio  . . . . . . . 395--398
                  Joel E. Cohen   Statistics of Primes (and Probably Twin
                                  Primes) Satisfy Taylor's Law from
                                  Ecology  . . . . . . . . . . . . . . . . 399--404
                    Amy Wagaman   Meeting Student Needs for Multivariate
                                  Data Analysis: A Case Study in Teaching
                                  an Undergraduate Multivariate Data
                                  Analysis Course  . . . . . . . . . . . . 405--412
                 Piaomu Liu and   
           Edsel A. Peña   Sojourning With the Homogeneous Poisson
                                  Process  . . . . . . . . . . . . . . . . 413--423
                      Anonymous   Reviews of Books and Teaching Materials  424--433
             Lawrence M. Lesser   Letter to the Editor . . . . . . . . . . 434--434
                      Anonymous   Editorial Collaborators  . . . . . . . . 435--437
                      Anonymous   Editorial Board EOV  . . . . . . . . . . ebi--ebi


The American Statistician
Volume 71, Number 1, 2017

                     Aarti Shah   What is Mentoring? . . . . . . . . . . . 1--2
              David Morganstein   Mentoring in the ASA: A Commentary . . . 3--4
                    Mary Kwasny   Mentoring in the ASA: A Rejoinder  . . . 5--5
 Christine M. Anderson-Cook and   
          Michael S. Hamada and   
            Leslie M. Moore and   
         Joanne R. Wendelberger   Statistical Mentoring at Early Training
                                  and Career Stages  . . . . . . . . . . . 6--14
              Eric A. Vance and   
           Donna E. LaLonde and   
                      Lin Zhang   The Big Tent for Statistics: Mentoring
                                  Required . . . . . . . . . . . . . . . . 15--22
              Eric A. Vance and   
             Erin Tanenbaum and   
               Amarjot Kaur and   
               Mark C. Otto and   
                 Richard Morris   An Eight-Step Guide to Creating and
                                  Sustaining a Mentoring Program . . . . . 23--29
               Mark Daniel Ward   Building Bridges: The Role of an
                                  Undergraduate Mentor . . . . . . . . . . 30--33
             Lauren Vollmer and   
           Aparna Keshaviah and   
            Dmitriy Poznyak and   
                Sharon Zhao and   
                   Fei Xing and   
                Nicholas Beyler   Re-Defining the \em Who, \em When, and
                                  \em Where of Mentoring for Professional
                                  Statisticians  . . . . . . . . . . . . . 34--37
                   Kim Love and   
              Eric A. Vance and   
      Frank E. Harrell, Jr. and   
          Dallas E. Johnson and   
          Michael H. Kutner and   
             Ronald D. Snee and   
                      Doug Zahn   Developing a Career in the Practice of
                                  Statistics: The Mentor's Perspective . . 38--46
              Amanda L. Golbeck   Mentoring Faculty Women in Statistics:
                                  Exploring Challenges and Opportunities
                                  for Leadership Development . . . . . . . 47--54
    Jacqueline M. Hughes-Oliver   Mentoring to Achieve Diversity in
                                  Graduate Programs  . . . . . . . . . . . 55--60
               Jiangtao Gou and   
           Fengqing (Zoe) Zhang   Experience Simpson's Paradox in the
                                  Classroom  . . . . . . . . . . . . . . . 61--66
   Leandro da Silva Pereira and   
      Lucas Monteiro Chaves and   
        Devanil Jaques de Souza   An Intuitive Geometric Approach to the
                                  Gauss Markov Theorem . . . . . . . . . . 67--70
                     Li Zhu and   
        Kimberly F. Sellers and   
         Darcy Steeg Morris and   
                  Galit Shmueli   Bridging the Gap: A Generalized
                                  Stochastic Process for Count Data  . . . 71--80
         Richard G. Spencer and   
        Benjamin D. Cortese and   
           Vanessa A. Lukas and   
                  Nancy Pleshko   Point Estimates of Test Sensitivity and
                                  Specificity from Sample Means and
                                  Variances  . . . . . . . . . . . . . . . 81--87
          Edward L. Ionides and   
         Alexander Giessing and   
               Yaacov Ritov and   
                  Scott E. Page   Response to the ASA's Statement on
                                  $p$-Values: Context, Process, and
                                  Purpose  . . . . . . . . . . . . . . . . 88--89
                 Susan E. Hodge   Letter to the Editor: Average Entropy
                                  Does Not Measure Uncertainty . . . . . . 89--90
               Omar A. Kittaneh   Response to ``Average Entropy Does Not
                                  Measure Uncertainty''  . . . . . . . . . 91--91
                   Reza Ramezan   Reviews of Books and Teaching Materials  92--96

The American Statistician
Volume 71, Number 2, 2017

              Brian Knaeble and   
                    Seth Dutter   Reversals of Least-Square Estimates and
                                  Model-Invariant Estimation for
                                  Directions of Unique Effects . . . . . . 97--105
                 Shaobo Jin and   
          Måns Thulin and   
                   Rolf Larsson   Approximate Bayesianity of Frequentist
                                  Confidence Intervals for a Binomial
                                  Proportion . . . . . . . . . . . . . . . 106--111
                Hillel Bar-Gera   The Target Parameter of Adjusted
                                  $R$-Squared in Fixed-Design Experiments  112--119
               Yudi Pawitan and   
                    Youngjo Lee   Wallet Game: Probability, Likelihood,
                                  and Extended Likelihood  . . . . . . . . 120--122
        Bartolomeo Stellato and   
       Bart P. G. Van Parys and   
                Paul J. Goulart   Multivariate Chebyshev Inequality With
                                  Estimated Mean and Variance  . . . . . . 123--127
                    Ryan Martin   A Statistical Inference Course Based on
                                  $p$-Values . . . . . . . . . . . . . . . 128--136
                 Jo A. Wick and   
               Hung-Wen Yeh and   
              Byron J. Gajewski   A Bayesian Analysis of Synchronous
                                  Distance Learning versus Matched
                                  Traditional Control in Graduate
                                  Biostatistics Courses  . . . . . . . . . 137--144
                Robert A. Stine   Explaining Normal Quantile-Quantile
                                  Plots Through Animation: The
                                  Water-Filling Analogy  . . . . . . . . . 145--147
            Philippa Swartz and   
             Mike Grosskopf and   
              Derek Bingham and   
                  Tim B. Swartz   The Quality of Pitches in Major League
                                  Baseball . . . . . . . . . . . . . . . . 148--154
              Amy L. Phelps and   
              Kathryn A. Szabat   The Current Landscape of Teaching
                                  Analytics to Business Students at
                                  Institutions of Higher Education: Who is
                                  Teaching What? . . . . . . . . . . . . . 155--161
          Olanrewaju Akande and   
                     Fan Li and   
                  Jerome Reiter   An Empirical Comparison of Multiple
                                  Imputation Methods for Categorical Data  162--170
          Stuart R. Lipsitz and   
     Garrett M. Fitzmaurice and   
            Debajyoti Sinha and   
         Nathanael Hevelone and   
         Edward Giovannucci and   
            Quoc-Dien Trinh and   
                      Jim C. Hu   Efficient Computation of Reduced
                                  Regression Models  . . . . . . . . . . . 171--176
               Zhi-Sheng Ye and   
                       Nan Chen   Closed-Form Estimators for the Gamma
                                  Distribution Derived From Likelihood
                                  Equations  . . . . . . . . . . . . . . . 177--181
                      Anonymous   Reviews of Books and Teaching Materials  182--186
               Michael P. Cohen   Non-Asymptotic Mean and Variance Also
                                  Approximately Satisfy Taylor's Law . . . 187
              Iain L. MacDonald   Models for count data  . . . . . . . . . 187--190
        Kimberly F. Sellers and   
            Darcy S. Morris and   
              Galit Shmueli and   
                         Li Zhu   Reply [to ``Models for count data''] . . 190

The American Statistician
Volume 71, Number 3, 2017

              Wen-Han Hwang and   
            Richard Huggins and   
                   Lu-Fang Chen   A Note on the Inverse Birthday Problem
                                  With Applications  . . . . . . . . . . . 191--201
            Jarod Y. L. Lee and   
             James J. Brown and   
                 Louise M. Ryan   Sufficiency Revisited: Rethinking
                                  Statistical Algorithms in the Big Data
                                  Era  . . . . . . . . . . . . . . . . . . 202--208
             Roger W. Hoerl and   
                 Ronald D. Snee   Statistical Engineering: An Idea Whose
                                  Time Has Come? . . . . . . . . . . . . . 209--219
               Heidi Spratt and   
                Erin E. Fox and   
                Nawar Shara and   
                 Madhu Mazumdar   Strategies for Success: Early-Stage
                                  Collaborating Biostatistics Faculty in
                                  an Academic Health Center  . . . . . . . 220--230
            Sitsofe Tsagbey and   
         Miguel de Carvalho and   
                Garritt L. Page   All Data are Wrong, but Some are Useful?
                                  Advocating the Need for Data Auditing    231--235
                 Tahir Ekin and   
             Francesca Ieva and   
           Fabrizio Ruggeri and   
                    Refik Soyer   On the Use of the Concentration Function
                                  in Medical Fraud Assessment  . . . . . . 236--241
           Victor Fossaluza and   
             Rafael Izbicki and   
   Gustavo Miranda da Silva and   
    Luís Gustavo Esteves   Coherent Hypothesis Testing  . . . . . . 242--248
         William B. Fairley and   
        Peter J. Kempthorne and   
                Julie Novak and   
             Scott McGarvie and   
                Steve Crunk and   
               Bee Leng Lee and   
               Alan J. Salzberg   Resolving a Multi-Million Dollar
                                  Contract Dispute With a Latin Square . . 249--258
                    Jeff Witmer   Bayes and MCMC for Undergraduates  . . . 259--264
              Subhash Bagui and   
                    K. L. Mehra   Convergence of Known Distributions to
                                  Limiting Normal or Non-normal
                                  Distributions: An Elementary Ratio
                                  Technique  . . . . . . . . . . . . . . . 265--271
      Panagiotis (Panos) Toulis   A Useful Pivotal Quantity  . . . . . . . 272--274
               Chunpeng Fan and   
                   Lin Wang and   
                       Lynn Wei   Comparing Two Tests for Two Rates  . . . 275--281
                      Anonymous   Reviews of Books and Teaching Materials  282--289

The American Statistician
Volume 71, Number 4, 2017

                   Ning Hao and   
                Hao Helen Zhang   A Note on High-Dimensional Linear
                                  Regression With Interactions . . . . . . 291--297
                     Frank Tuyl   A Note on Priors for the Multinomial
                                  Model  . . . . . . . . . . . . . . . . . 298--301
         Thomas J. DiCiccio and   
            Todd A. Kuffner and   
              G. Alastair Young   A Simple Analysis of the Exact
                                  Probability Matching Prior in the
                                  Location-Scale Model . . . . . . . . . . 302--304
                 Jesse Frey and   
                    Yimin Zhang   What Do Interpolated Nonparametric
                                  Confidence Intervals for Population
                                  Quantiles Guarantee? . . . . . . . . . . 305--309
                    Dabao Zhang   A Coefficient of Determination for
                                  Generalized Linear Models  . . . . . . . 310--316
Alejandro Quintela-del-Río and   
Mario Francisco-Fernández   Excel Templates: A Helpful Tool for
                                  Teaching Statistics  . . . . . . . . . . 317--325
              Peter K. Dunn and   
           Michael D. Carey and   
          Michael B. Farrar and   
        Alice M. Richardson and   
             Christine McDonald   Introductory Statistics Textbooks and
                                  the GAISE Recommendations  . . . . . . . 326--335
Luís Gustavo Esteves and   
             Rafael Izbicki and   
             Rafael Bassi Stern   Teaching Decision Theory Proof
                                  Strategies Using a Crowdsourcing Problem 336--343
         Philip M. Westgate and   
            Woodrow W. Burchett   A Comparison of Correlation Structure
                                  Selection Penalties for Generalized
                                  Estimating Equations . . . . . . . . . . 344--353
                 Joseph B. Lang   Mean--Minimum Exact Confidence Intervals 354--368
                      Anonymous   Reviews of Books and Teaching Materials  369--372
             Ronald Christensen   Comment on ``The Target Parameter of
                                  Adjusted R-Squared in Fixed-Design
                                  Experiments'' by Bar-Gera (2017) . . . . 373--375
                      Anonymous   Editorial Collaborators  . . . . . . . . 376--377
                      Anonymous   Editorial Board EOV  . . . . . . . . . . ??


The Mathematical Intelligencer
Volume 33, Number 1, March, 2011

                Arno Berger and   
               Theodore P. Hill   Benford's law strikes back: no simple
                                  explanation in sight for mathematical
                                  gem  . . . . . . . . . . . . . . . . . . 85--91