Table of contents for issues of Biometrika

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Volume 92, Number 1, March, 2005
Volume 96, Number 4, December, 2009
Volume 97, Number 1, March, 2010
Volume 97, Number 2, June, 2010
Volume 97, Number 3, September, 2010
Volume 97, Number 4, December, 2010
Volume 98, Number 1, March, 2011
Volume 98, Number 2, June, 2011
Volume 98, Number 3, September, 2011
Volume 98, Number 4, December, 2011
Volume 99, Number 1, March, 2012
Volume 99, Number 2, June, 2012
Volume 99, Number 3, September, 2012
Volume 99, Number 4, December, 2012
Volume 100, Number 1, March, 2013
Volume 100, Number 2, June, 2013
Volume 100, Number 3, September, 2013
Volume 100, Number 4, December, 2013
Volume 101, Number 1, March, 2014
Volume 101, Number 2, June, 2014
Volume 101, Number 3, September, 2014
Volume 101, Number 4, December, 2014
Volume 102, Number 1, March, 2015
Volume 102, Number 2, June, 2015
Volume 102, Number 3, September, 2015
Volume 102, Number 4, December, 2015
Volume 103, Number 1, March, 2016
Volume 103, Number 2, June, 2016
Volume 103, Number 3, September, 2016
Volume 103, Number 4, December, 2016
Volume 104, Number 1, March, 2017
Volume 104, Number 2, June, 2017
Volume 104, Number 3, September, 2017
Volume 104, Number 4, December 1, 2017
Volume 105, Number 1, March 1, 2018
Volume 105, Number 2, June 1, 2018
Volume 105, Number 3, September 1, 2018


Biometrika
Volume 92, Number 1, March, 2005

         Gauri Sankar Datta and   
               J. N. K. Rao and   
             David Daniel Smith   On Measuring the Variability of Small
                                  Area Estimators under a Basic Area Level
                                  Model  . . . . . . . . . . . . . . . . . 183--196


Biometrika
Volume 96, Number 4, December, 2009

                     Soumik Pal   A note on a conjectured sharpness
                                  principle for probabilistic forecasting
                                  with calibration . . . . . . . . . . . . 1019--1023


Biometrika
Volume 97, Number 1, March, 2010

             Johanna Ziegel and   
            Adrian Baddeley and   
  Karl-Anton Dorph-Petersen and   
            Eva B. Vedel Jensen   Systematic sampling with errors in
                                  sample locations . . . . . . . . . . . . 1--13
    Tatiyana V. Apanasovich and   
                 Marc G. Genton   Cross-covariance functions for
                                  multivariate random fields based on
                                  latent dimensions  . . . . . . . . . . . 15--30
                 Peter Hall and   
                   Jing-Hao Xue   Incorporating prior probabilities into
                                  high-dimensional classifiers . . . . . . 31--48
                   Fang Yao and   
         Hans-Georg Müller   Functional quadratic regression  . . . . 49--64
                 D. M. Farewell   Marginal analyses of longitudinal data
                                  with an informative pattern of
                                  observations . . . . . . . . . . . . . . 65--78
                Suojin Wang and   
               Lianfen Qian and   
             Raymond J. Carroll   Generalized empirical likelihood methods
                                  for analyzing longitudinal data  . . . . 79--93
                Aniko Szabo and   
             E. Olusegun George   On the use of stochastic ordering to
                                  test for trend with clustered binary
                                  data . . . . . . . . . . . . . . . . . . 95--108
           Ying Kuen Cheung and   
          Mitchell S. V. Elkind   Stochastic approximation with virtual
                                  observations for dose-finding on
                                  discrete levels  . . . . . . . . . . . . 109--121
              Manabu Kuroki and   
                Zhihong Cai and   
                       Zhi Geng   Sharp bounds on causal effects in
                                  case-control and cohort studies  . . . . 123--132
          Thomas H. Scheike and   
                Yanqing Sun and   
              Mei-Jie Zhang and   
               Tina Kold Jensen   A semiparametric random effects model
                                  for multivariate competing risks data    133--145
           Huixia Judy Wang and   
                  Xiao-Hua Zhou   Estimation of the retransformed
                                  conditional mean in health care cost
                                  studies  . . . . . . . . . . . . . . . . 147--158
                    N. Reid and   
                D. A. S. Fraser   Mean loglikelihood and higher-order
                                  approximations . . . . . . . . . . . . . 159--170
  Eric J. Tchetgen Tchetgen and   
            James M. Robins and   
               Andrea Rotnitzky   On doubly robust estimation in a
                                  semiparametric odds ratio model  . . . . 171--180
           Felix Abramovich and   
           Vadim Grinshtein and   
            Athanasia Petsa and   
            Theofanis Sapatinas   On Bayesian testimation and its
                                  application to wavelet thresholding  . . 181--198
                      Yuzhi Cai   Forecasting for quantile self-exciting
                                  threshold autoregressive time series
                                  models . . . . . . . . . . . . . . . . . 199--208
                  D. R. Cox and   
                     M. Y. Wong   A note on the sensitivity to assumptions
                                  of a generalized linear mixed model  . . 209--214
               Alan Agresti and   
                    Euijung Ryu   Pseudo-score confidence intervals for
                                  parameters in discrete statistical
                                  models . . . . . . . . . . . . . . . . . 215--222
                     L. Wei and   
                P. F. Craigmile   Global and local spectral-based tests
                                  for periodicities  . . . . . . . . . . . 223--230
              Willa W. Chen and   
                   Rohit S. Deo   Weighted least squares approximate
                                  restricted likelihood estimation for
                                  vector autoregressive processes  . . . . 231--237
              Yanbing Zheng and   
                    Jun Zhu and   
                    Anindya Roy   Nonparametric Bayesian inference for the
                                  spectral density function of a random
                                  field  . . . . . . . . . . . . . . . . . 238--245
                Lin-An Chen and   
              Dung-Tsa Chen and   
                    Wenyaw Chan   The distribution-based $p$-value for the
                                  outlier sum in differential gene
                                  expression analysis  . . . . . . . . . . 246--253
              Jeongyoun Ahn and   
                   J. S. Marron   The maximal data piling direction for
                                  discrimination . . . . . . . . . . . . . 254--259

Biometrika
Volume 97, Number 2, June, 2010

           P. Bühlmann and   
                 M. Kalisch and   
                 M. H. Maathuis   Variable selection in high-dimensional
                                  linear models: partially faithful
                                  distributions and the PC-simple
                                  algorithm  . . . . . . . . . . . . . . . 261--278
               Yuexiao Dong and   
                        Bing Li   Dimension reduction for non-elliptically
                                  distributed predictors: second-order
                                  methods  . . . . . . . . . . . . . . . . 279--294
                 Liping Zhu and   
                   Tao Wang and   
                 Lixing Zhu and   
             Louis Ferré   Sufficient dimension reduction through
                                  discretization-expectation estimation    295--304
                 Zonghui Hu and   
           Dean A. Follmann and   
                       Jing Qin   Semiparametric dimension reduction
                                  estimation for mean response with
                                  missing data . . . . . . . . . . . . . . 305--319
                  D. Y. Lin and   
                        D. Zeng   On the relative efficiency of using
                                  summary statistics versus
                                  individual-level data in meta-analysis   321--332
              Paul R. Rosenbaum   Evidence factors in observational
                                  studies  . . . . . . . . . . . . . . . . 333--345
                   Jun Shao and   
                  Xinxin Yu and   
                      Bob Zhong   A theory for testing hypotheses under
                                  covariate-adaptive randomization . . . . 347--360
                  A. J. Lee and   
                A. J. Scott and   
                     C. J. Wild   Efficient estimation in multi-phase
                                  case-control studies . . . . . . . . . . 361--374
                   A. Gandy and   
        J. T. Kvalòy and   
                  A. Bottle and   
                        F. Zhou   Risk-adjusted monitoring of time to
                                  event  . . . . . . . . . . . . . . . . . 375--388
                     T. Cai and   
                    L. Tian and   
                 Hajime Uno and   
           Scott D. Solomon and   
                      L. J. Wei   Calibrating parametric subject-specific
                                  risk estimation  . . . . . . . . . . . . 389--404
               Samuel S. Wu and   
               Weizhen Wang and   
                Mark C. K. Yang   Interval estimation for drop-the-losers
                                  designs  . . . . . . . . . . . . . . . . 405--418
                         Y. Mei   Efficient scalable schemes for
                                  monitoring a large number of data
                                  streams  . . . . . . . . . . . . . . . . 419--433
               J. Sanderson and   
              P. Fryzlewicz and   
                    M. W. Jones   Estimating linear dependence between
                                  nonstationary time series using the
                                  locally stationary wavelet model . . . . 435--446
             Paul Fearnhead and   
              David Wyncoll and   
                  Jonathan Tawn   A sequential smoothing algorithm with
                                  linear computational cost  . . . . . . . 447--464
         Carlos M. Carvalho and   
         Nicholas G. Polson and   
                 James G. Scott   The horseshoe estimator for sparse
                                  signals  . . . . . . . . . . . . . . . . 465--480
                 T. A. Severini   Likelihood ratio statistics based on an
                                  integrated likelihood  . . . . . . . . . 481--496
         Thomas J. Diciccio and   
              G. Alastair Young   Objective Bayes and conditional
                                  inference in exponential families  . . . 497--504
            M. L. Lakhal-Chaieb   Copula inference under censoring . . . . 505--512
                   H. Dette and   
                    C. Kiss and   
                 M. Bevanda and   
                       F. Bretz   Optimal designs for the emax, log-linear
                                  and exponential models . . . . . . . . . 513--518

Biometrika
Volume 97, Number 3, September, 2010

                Ali Shojaie and   
             George Michailidis   Penalized likelihood methods for
                                  estimation of sparse high-dimensional
                                  directed acyclic graphs  . . . . . . . . 519--538
            Adam J. Rothman and   
           Elizaveta Levina and   
                         Ji Zhu   A new approach to Cholesky-based
                                  covariance regularization in high
                                  dimensions . . . . . . . . . . . . . . . 539--550
             Chunming Zhang and   
                 Yuan Jiang and   
                        Yi Chai   Penalized Bregman divergence for
                                  large-dimensional regression and
                                  classification . . . . . . . . . . . . . 551--566
                 Kim Kenobi and   
              Ian L. Dryden and   
                     Huiling Le   Shape curves and geodesic modelling  . . 567--584
                  Xiao Wang and   
                   Jinglai Shen   A class of grouped Brunk estimators and
                                  penalized spline estimators for monotone
                                  regression . . . . . . . . . . . . . . . 585--601
                  Yong Chen and   
                 Kung-Yee Liang   On the asymptotic behaviour of the
                                  pseudolikelihood ratio test statistic
                                  with boundary problems . . . . . . . . . 603--620
           Veronika Czellar and   
              Elvezio Ronchetti   Accurate and robust tests for indirect
                                  inference  . . . . . . . . . . . . . . . 621--630
             Nancy R. Zhang and   
          David O. Siegmund and   
                  Hanlee Ji and   
                      Jun Z. Li   Detecting simultaneous changepoints in
                                  multiple sequences . . . . . . . . . . . 631--645
           Tyler J. Vanderweele   Sufficient cause interactions for
                                  categorical and ordinal exposures with
                                  three levels . . . . . . . . . . . . . . 647--659
                   Zhiqiang Tan   Bounded, efficient and doubly robust
                                  estimation with inverse weighting  . . . 661--682
        Nilanjan Chatterjee and   
              Samiran Sinha and   
              W. Ryan Diver and   
      Heather Spencer Feigelson   Analysis of cohort studies with
                                  multivariate and partially observed
                                  disease classification data  . . . . . . 683--698
               Donglin Zeng and   
                    Jianwen Cai   A semiparametric additive rate model for
                                  recurrent events with an informative
                                  terminal event . . . . . . . . . . . . . 699--712
                    Li Chen and   
                  D. Y. Lin and   
                   Donglin Zeng   Attributable fraction functions for
                                  censored event times . . . . . . . . . . 713--726
                   Ji-Ping Wang   Estimating species richness by a
                                  Poisson-compound gamma model . . . . . . 727--740
             Nicolas Chopin and   
            Christian P. Robert   Properties of nested sampling  . . . . . 741--755
       Getulio J. A. Amaral and   
              Andrew T. A. Wood   Empirical likelihood methods for
                                  two-dimensional shape analysis . . . . . 757--764
         Peter J. Brockwell and   
              Alexander Lindner   Strictly stationary solutions of
                                  autoregressive moving average equations  765--772

Biometrika
Volume 97, Number 4, December, 2010

               Sonja Greven and   
                   Thomas Kneib   On the behaviour of marginal and
                                  conditional AIC in linear mixed models   773--789
     Hans-Georg Müller and   
                       Fang Yao   Additive modelling of functional
                                  gradients  . . . . . . . . . . . . . . . 791--805
                 F. Ferraty and   
                    P. Hall and   
                        P. Vieu   Most-predictive design points for
                                  functional data predictors . . . . . . . 807--824
          Howard D. Bondell and   
             Brian J. Reich and   
                    Huixia Wang   Noncrossing quantile regression curve
                                  estimation . . . . . . . . . . . . . . . 825--838
                  Jing Qian and   
                     Limin Peng   Censored quantile regression with
                                  partially functional effects . . . . . . 839--850
      Abhishek Bhattacharya and   
                David B. Dunson   Nonparametric Bayesian density
                                  estimation on manifolds with
                                  applications to planar shapes  . . . . . 851--865
               Yongtao Guan and   
                        Ye Shen   A weighted estimating equation approach
                                  for inhomogeneous spatial point
                                  processes  . . . . . . . . . . . . . . . 867--880
                 Peter Hall and   
                    Hugh Miller   Bootstrap confidence intervals and
                                  hypothesis tests for extrema of
                                  parameters . . . . . . . . . . . . . . . 881--892
                    Junhui Wang   Consistent selection of the number of
                                  clusters via crossvalidation . . . . . . 893--904
            Cheng Yong Tang and   
                   Chenlei Leng   Penalized high-dimensional empirical
                                  likelihood . . . . . . . . . . . . . . . 905--919
             Stijn Vansteelandt   Estimation of controlled direct effects
                                  on a dichotomous outcome using logistic
                                  structural direct effect models  . . . . 921--934
 Alessandro Baldi Antognini and   
          Alessandra Giovagnoli   Compound optimal allocation for
                                  individual and collective ethics in
                                  binary clinical trials . . . . . . . . . 935--946
                    Qi Tang and   
               Peter Z. G. Qian   Enhancing the sample average
                                  approximation method with $U$ designs    947--960
                  Ying Hung and   
              Yasuo Amemiya and   
               Chien-Fu Jeff Wu   Probability-based Latin hypercube
                                  designs for slid-rectangular regions . . 961--968
                  Kani Chen and   
                   Xingwei Tong   Varying coefficient transformation
                                  models with censored data  . . . . . . . 969--976
                 C. D. Barr and   
               F. P. Schoenberg   On the Voronoi estimator for the
                                  intensity of an inhomogeneous planar
                                  Poisson process  . . . . . . . . . . . . 977--984
                   Xin Chen and   
                 R. Dennis Cook   Some insights into continuum regression
                                  and its asymptotic properties  . . . . . 985--989
               Ana-Maria Staicu   On the equivalence of prospective and
                                  retrospective likelihood methods in
                                  case-control studies . . . . . . . . . . 990--996
           Andrea Rotnitzky and   
                Lingling Li and   
                    Xiaochun Li   A note on overadjustment in inverse
                                  probability weighted estimation  . . . . 997--1001
              Diana J. Cole and   
             Byron J. T. Morgan   Parameter redundancy with covariates . . 1002--1005
         Tamás Rudas and   
          Wicher P. Bergsma and   
    Renáta Németh   Marginal log-linear parameterization of
                                  conditional independence models  . . . . 1006--1012
                     Soumik Pal   Amendments and Corrections: 'On a
                                  conjectured sharpness principle for
                                  probabilistic forecasting with
                                  calibration' [errata to MR2767288] . . . 1013--1013


Biometrika
Volume 98, Number 1, March, 2011

                   Jian Guo and   
           Elizaveta Levina and   
         George Michailidis and   
                         Ji Zhu   Joint estimation of multiple graphical
                                  models . . . . . . . . . . . . . . . . . 1--15
             Lorenzo Trippa and   
          Peter Müller and   
                 Wesley Johnson   The multivariate beta process and an
                                  extension of the Polya tree model  . . . 17--34
                    D. Pati and   
                B. J. Reich and   
                   D. B. Dunson   Bayesian geostatistical modelling with
                                  informative sampling locations . . . . . 35--48
              S. P. Preston and   
              Andrew T. A. Wood   Bootstrap inference for mean reflection
                                  shape and size-and-shape with
                                  three-dimensional landmark data  . . . . 49--63
           George Poyiadjis and   
              Arnaud Doucet and   
             Sumeetpal S. Singh   Particle approximations of the score and
                                  observed information matrix in state
                                  space models with application to
                                  parameter estimation . . . . . . . . . . 65--80
                   Zhibiao Zhao   A self-normalized confidence interval
                                  for the mean of a class of nonstationary
                                  processes  . . . . . . . . . . . . . . . 81--90
          Jianqiang C. Wang and   
                  J. D. Opsomer   On asymptotic normality and variance
                                  estimation for nondifferentiable survey
                                  estimators . . . . . . . . . . . . . . . 91--106
        Hervé Cardot and   
              Etienne Josserand   Horvitz-Thompson estimators for
                                  functional data: asymptotic confidence
                                  bands and optimal allocation for
                                  stratified sampling  . . . . . . . . . . 107--118
                  Jae Kwang Kim   Parametric fractional imputation for
                                  missing data analysis  . . . . . . . . . 119--132
                  Zhihua Su and   
                 R. Dennis Cook   Partial envelopes for efficient
                                  estimation in multivariate linear
                                  regression . . . . . . . . . . . . . . . 133--146
            John M. Neuhaus and   
           Charles E. Mcculloch   Estimation of covariate effects in
                                  generalized linear mixed models with
                                  informative cluster sizes  . . . . . . . 147--162
                   Hua Yun Chen   A unified framework for studying
                                  parameter identifiability and estimation
                                  in biased sampling designs . . . . . . . 163--175
            Chiung-Yu Huang and   
                       Jing Qin   Nonparametric estimation for
                                  length-biased and right-censored data    177--186
             Johanna Ziegel and   
        Eva B. Vedel Jensen and   
      Karl-Anton Dorph-Petersen   Variance estimation for generalized
                                  Cavalieri estimators . . . . . . . . . . 187--198
          Armin Schwartzman and   
                     Xihong Lin   The effect of correlation in false
                                  discovery rate estimation  . . . . . . . 199--214
                      A. Qu and   
                   G. Y. Yi and   
              P. X.-K. Song and   
                        P. Wang   Assessing the validity of weighted
                                  generalized estimating equations . . . . 215--224
       Göran Kauermann and   
                Jean D. Opsomer   Data-driven selection of the spline
                                  dimension in penalized spline regression 225--230
              M. Papathomas and   
             P. Dellaportas and   
              V. G. S. Vasdekis   A novel reversible jump algorithm for
                                  generalized linear models  . . . . . . . 231--236
                   A. Farcomeni   Recapture models under equality
                                  constraints for the conditional capture
                                  probabilities  . . . . . . . . . . . . . 237--242
                 Guodong Li and   
                   Wai Keung Li   Testing a linear time series model
                                  against its threshold extension  . . . . 243--250

Biometrika
Volume 98, Number 2, June, 2011

              Bradley Efron and   
                 Nancy R. Zhang   False discovery rates and copy number
                                  variation  . . . . . . . . . . . . . . . 251--271
                 Jichun Xie and   
                T. Tony Cai and   
                     Hongzhe Li   Sample size and power analysis for
                                  sparse signal recovery in genome-wide
                                  association studies  . . . . . . . . . . 273--290
            A. Bhattacharya and   
                   D. B. Dunson   Sparse Bayesian infinite factor models   291--306
                 Hongtu Zhu and   
          Joseph G. Ibrahim and   
                 Niansheng Tang   Bayesian influence analysis: a geometric
                                  approach . . . . . . . . . . . . . . . . 307--323
             M. H. Maathuis and   
                  M. G. Hudgens   Nonparametric inference for competing
                                  risks current status data with
                                  continuous, discrete or grouped
                                  observation times  . . . . . . . . . . . 325--340
                  Tianle Hu and   
                    Bin Nan and   
                 Xihong Lin and   
                James M. Robins   Time-dependent cross ratio estimation
                                  for bivariate failure times  . . . . . . 341--354
                       Yehua Li   Efficient semiparametric regression for
                                  longitudinal data with nonparametric
                                  covariance estimation  . . . . . . . . . 355--370
               Lingzhou Xue and   
                        Hui Zou   Sure independence screening and
                                  compressed random sensing  . . . . . . . 371--380
            Jelle J. Goeman and   
    Hans C. van Houwelingen and   
                    Livio Finos   Testing against a high-dimensional
                                  alternative in the generalized linear
                                  model: asymptotic type I error control   381--390
                Han-Joo Kim and   
         A. Richard Entsuah and   
                 Justine Shults   The union closure method for testing a
                                  fixed sequence of families of hypotheses 391--401
                  M. Levine and   
               D. R. Hunter and   
                    D. Chauveau   Maximum smoothed likelihood for
                                  multivariate mixtures  . . . . . . . . . 403--416
                 Peter Hall and   
                 Johanna Ziegel   Distribution estimators and confidence
                                  intervals for stereological volumes  . . 417--431
            Noelle I. Samia and   
                  Kung-Sik Chan   Maximum likelihood estimation of a
                                  generalized threshold stochastic
                                  regression model . . . . . . . . . . . . 433--448
              S. Biedermann and   
                   H. Dette and   
                    D. C. Woods   Optimal design for additive partially
                                  nonlinear models . . . . . . . . . . . . 449--458
                 G. Chauvet and   
              J.-C. Deville and   
                      D. Haziza   On balanced random imputation in surveys 459--471
           Sanjay Chaudhuri and   
                    Malay Ghosh   Empirical likelihood for small area
                                  estimation . . . . . . . . . . . . . . . 473--480
             Marc G. Genton and   
                 Yanyuan Ma and   
                    Huiyan Sang   On the likelihood function of Gaussian
                                  max-stable processes . . . . . . . . . . 481--488
               John T. Kent and   
       Mohsen Mohammadzadeh and   
                Ali M. Mosammam   The dimple in Gneiting's
                                  spatial-temporal covariance model  . . . 489--494
               R. M. Kuiper and   
                H. Hoijtink and   
               M. J. Silvapulle   An Akaike-type information criterion for
                                  model selection under inequality
                                  constraints  . . . . . . . . . . . . . . 495--501

Biometrika
Volume 98, Number 3, September, 2011

                  Zhiguo Li and   
                Susan A. Murphy   Sample size formulae for two-stage
                                  randomized trials with survival outcomes 503--518
         A. Baldi Antognini and   
                   M. Zagoraiou   The covariate-adaptive biased coin
                                  design for balancing clinical trials in
                                  the presence of prognostic factors . . . 519--535
              Lianming Wang and   
                David B. Dunson   Bayesian isotonic density regression . . 537--551
                    A. Jara and   
                   T. E. Hanson   A class of mixtures of dependent
                                  tail-free processes  . . . . . . . . . . 553--566
                Ryan Martin and   
                Surya T. Tokdar   Semiparametric inference in mixture
                                  models with predictive recursion
                                  marginal likelihood  . . . . . . . . . . 567--582
           Robert T. Krafty and   
               Martica Hall and   
                   Wensheng Guo   Functional mixed effects spectral
                                  analysis . . . . . . . . . . . . . . . . 583--598
                 Ting Zhang and   
                    Wei Biao Wu   Testing parametric assumptions of trends
                                  of a nonstationary time series . . . . . 599--614
            Reinhard Furrer and   
                 Marc G. Genton   Aggregation-cokriging for highly
                                  multivariate spatial data  . . . . . . . 615--631
                 F. Ballani and   
                   M. Schlather   A construction principle for
                                  multivariate extreme value distributions 633--645
               Zhijian Chen and   
                Grace Y. Yi and   
                    Changbao Wu   Marginal methods for correlated binary
                                  data with misclassified responses  . . . 647--662
                         Z. Tan   Efficient restricted estimators for
                                  conditional mean models with missing
                                  data . . . . . . . . . . . . . . . . . . 663--684
              M. C. Donohue and   
              R. Overholser and   
                      R. Xu and   
                       F. Vaida   Conditional Akaike information under
                                  generalized linear and proportional
                                  hazards mixed models . . . . . . . . . . 685--700
             C. N. Kuruwita and   
           K. B. Kulasekera and   
                C. M. Gallagher   Generalized varying coefficient models
                                  with unknown link function . . . . . . . 701--710
                      Xu Xu and   
                Ben Haaland and   
               Peter Z. G. Qian   Sudoku-based space-filling designs . . . 711--720
                      Xu He and   
               Peter Z. G. Qian   Nested orthogonal array-based Latin
                                  hypercube designs  . . . . . . . . . . . 721--731
              Ryan Lekivetz and   
                     Boxin Tang   Robust designs through partially clear
                                  two-factor interactions  . . . . . . . . 733--739
                 Baisuo Jin and   
               Mong-Na Lo Huang   Construction of $ \varphi_p$-optimal
                                  exact designs with minimum experimental
                                  run size for a linear log contrast model
                                  in mixture experiments . . . . . . . . . 741--747
    E. J. Tchetgen Tchetgen and   
                   A. Rotnitzky   On protected estimation of an odds ratio
                                  model with missing binary exposure and
                                  confounders  . . . . . . . . . . . . . . 749--754
           Ioannis Kosmidis and   
                    David Firth   Multinomial logit bias reduction via the
                                  Poisson log-linear model . . . . . . . . 755--759

Biometrika
Volume 98, Number 4, December, 2011

Tha\'ìs C. O. Fonseca and   
               Mark F. J. Steel   Non-Gaussian spatiotemporal modelling
                                  through scale mixing . . . . . . . . . . 761--774
             Chunfeng Huang and   
               Tailen Hsing and   
                   Noel Cressie   Nonparametric estimation of the
                                  variogram and its spectrum . . . . . . . 775--789
                 A. Belloni and   
            V. Chernozhukov and   
                        L. Wang   Square-root lasso: pivotal recovery of
                                  sparse signals via conic programming . . 791--806
                 Jacob Bien and   
           Robert J. Tibshirani   Sparse estimation of a covariance matrix 807--820
               Chenlei Leng and   
                          Bo Li   Forward adaptive banding for estimating
                                  large covariance matrices  . . . . . . . 821--830
         Torben Martinussen and   
          Thomas H. Scheike and   
                David M. Zucker   The Aalen additive gamma frailty hazards
                                  model  . . . . . . . . . . . . . . . . . 831--843
               M. Rosenblum and   
             M. J. Van Der Laan   Optimizing randomized trial designs to
                                  distinguish which subpopulations benefit
                                  from treatment . . . . . . . . . . . . . 845--860
             Xavier de Luna and   
         Ingeborg Waernbaum and   
           Thomas S. Richardson   Covariate selection for the
                                  nonparametric estimation of an average
                                  treatment effect . . . . . . . . . . . . 861--875
                Ganggang Xu and   
                    Suojin Wang   A goodness-of-fit test of logistic
                                  regression models for case-control data
                                  with measurement error . . . . . . . . . 877--886
                  A. Mallik and   
                     B. Sen and   
                M. Banerjee and   
                 G. Michailidis   Threshold estimation based on a
                                  $p$-value framework in dose-response and
                                  regression settings  . . . . . . . . . . 887--900
               Clifford Lam and   
                  Qiwei Yao and   
                    Neil Bathia   Estimation of latent factors for
                                  high-dimensional time series . . . . . . 901--918
              Mathias Drton and   
              Benjamin Williams   Quantifying the failure of bootstrap
                                  likelihood ratio tests . . . . . . . . . 919--934
                   D. Vogel and   
                       R. Fried   Elliptical graphical modelling . . . . . 935--951
              C. J. Skinner and   
                    J. D'Arrigo   Inverse probability weighting for
                                  clustered nonresponse  . . . . . . . . . 953--966
               Xiaowei Wang and   
                   J. P. Morgan   Blocking, efficiency and weighted
                                  optimality . . . . . . . . . . . . . . . 967--978
             D. O. Siegmund and   
                N. R. Zhang and   
                       B. Yakir   False discovery rate for scanning
                                  statistics . . . . . . . . . . . . . . . 979--985
             R. R. Ramsahai and   
                S. L. Lauritzen   Likelihood analysis of the binary
                                  instrumental variable model  . . . . . . 987--994
              Xingdong Feng and   
                  Xuming He and   
                     Jianhua Hu   Wild bootstrap for quantile regression   995--999
            Cheng Yong Tang and   
                   Chenlei Leng   Empirical likelihood and quantile
                                  regression in longitudinal data analysis 1001--1006
                Enno Mammen and   
         Jens Perch Nielsen and   
             Bernd Fitzenberger   Generalized linear time series
                                  regression . . . . . . . . . . . . . . . 1007--1014


Biometrika
Volume 99, Number 1, March, 2012

             Stephen M. Stigler   Studies in the history of probability
                                  and statistics, L: Karl Pearson and the
                                  rule of three  . . . . . . . . . . . . . 1--14
                        H. Wang   Factor profiled sure independence
                                  screening  . . . . . . . . . . . . . . . 15--28
                   Qing Mai and   
                    Hui Zou and   
                      Ming Yuan   A direct approach to sparse discriminant
                                  analysis in ultra-high dimensions  . . . 29--42
             Emma F. Eastoe and   
               Jonathan A. Tawn   Modelling the distribution of the
                                  cluster maxima of exceedances of
                                  subasymptotic thresholds . . . . . . . . 43--55
            Matthew T. Harrison   Conservative hypothesis tests and
                                  confidence intervals using importance
                                  sampling . . . . . . . . . . . . . . . . 57--69
             Rahul Mukerjee and   
                     Boxin Tang   Optimal fractions of two-level
                                  factorials under a baseline
                                  parameterization . . . . . . . . . . . . 71--84
              Jae Kwang Kim and   
                   J. N. K. Rao   Combining data from two independent
                                  surveys: a model-assisted approach . . . 85--100
                  D. Azriel and   
                  M. Mandel and   
                      Y. Rinott   Optimal allocation to maximize the power
                                  of two-sample tests for binary response  101--113
       Tyler J. VanderWeele and   
                   Zhiqiang Tan   Directed acyclic graphs with
                                  edge-specific bounds . . . . . . . . . . 115--126
                Yongdai Kim and   
             Lancelot James and   
               Rafael Weissbach   Bayesian analysis of multistate event
                                  history data: beta-Dirichlet process
                                  prior  . . . . . . . . . . . . . . . . . 127--140
              Weiping Zhang and   
                   Chenlei Leng   A moving average Cholesky factor model
                                  in covariance modelling for longitudinal
                                  data . . . . . . . . . . . . . . . . . . 141--150
                Grace Y. Yi and   
                 Yanyuan Ma and   
             Raymond J. Carroll   A functional generalized method of
                                  moments approach for longitudinal
                                  studies with missing responses and
                                  covariate measurement error  . . . . . . 151--165
               Donglin Zeng and   
               Qingxia Chen and   
              Ming-Hui Chen and   
          Joseph G. Ibrahim and   
           Amgen Research Group   Estimating treatment effects with
                                  treatment switching via semicompeting
                                  risks models: an application to a
                                  colorectal cancer study  . . . . . . . . 167--184
                Liuquan Sun and   
               Xinyuan Song and   
                  Zhigang Zhang   Mean residual life models with
                                  time-dependent coefficients under right
                                  censoring  . . . . . . . . . . . . . . . 185--197
            Chiung-Yu Huang and   
                   Jing Qin and   
               Dean A. Follmann   A maximum pseudo-profile likelihood
                                  estimator for the Cox model under
                                  length-biased sampling . . . . . . . . . 199--210
               Xiaodong Luo and   
                  Wei Yann Tsai   A proportional likelihood ratio model    211--222
                 Alan Huang and   
                Paul J. Rathouz   Proportional likelihood ratio models for
                                  mean regression  . . . . . . . . . . . . 223--229
                 D. J. Fletcher   Estimating overdispersion when fitting a
                                  generalized linear model to sparse data  230--237
             Davide Ferrari and   
              Davide La Vecchia   On robust estimation via pseudo-additive
                                  information  . . . . . . . . . . . . . . 238--244
                   Aiyi Liu and   
               Chunling Liu and   
               Zhiwei Zhang and   
                 Paul S. Albert   Optimality of group testing in the
                                  presence of misclassification  . . . . . 245--251

Biometrika
Volume 99, Number 2, June, 2012

      Jennifer L. Wadsworth and   
               Jonathan A. Tawn   Dependence modelling for spatial
                                  extremes . . . . . . . . . . . . . . . . 253--272
                 D. S. Choi and   
                P. J. Wolfe and   
                  E. M. Airoldi   Stochastic blockmodels with a growing
                                  number of classes  . . . . . . . . . . . 273--284
                  N. X. Lin and   
                  J. Q. Shi and   
                   R. Henderson   Doubly misspecified models . . . . . . . 285--298
                A. Delaigle and   
                    P. Hall and   
                      N. Bathia   Componentwise classification and
                                  clustering of functional data  . . . . . 299--313
                Yongdai Kim and   
                  Sunghoon Kwon   Global optimality of nonconvex penalized
                                  estimators . . . . . . . . . . . . . . . 315--325
              Yongseok Park and   
        Jeremy M. G. Taylor and   
            John D. Kalbfleisch   Pointwise nonparametric maximum
                                  likelihood estimator of stochastically
                                  ordered survivor functions . . . . . . . 327--343
                   Hong Zhu and   
                 Mei-Cheng Wang   Analysing bivariate survival data with
                                  interval sampling and application to
                                  cancer epidemiology  . . . . . . . . . . 345--361
                    Yu Shen and   
                  Jing Ning and   
                       Jing Qin   Likelihood approaches for the invariant
                                  density ratio model with biased-sampling
                                  data . . . . . . . . . . . . . . . . . . 363--378
                  Kani Chen and   
                Huazhen Lin and   
                      Yong Zhou   Efficient estimation for the Cox model
                                  with varying coefficients  . . . . . . . 379--392
         Robert M. Elashoff and   
                    Gang Li and   
                      Ying Zhou   Nonparametric inference for assessing
                                  treatment efficacy in randomized
                                  clinical trials with a time-to-event
                                  outcome and all-or-none compliance . . . 393--404
           Huixia Judy Wang and   
       Leonard A. Stefanski and   
                    Zhongyi Zhu   Corrected-loss estimation for quantile
                                  regression with covariate measurement
                                  errors . . . . . . . . . . . . . . . . . 405--421
                   Ying Wei and   
                 Yanyuan Ma and   
             Raymond J. Carroll   Multiple imputation in quantile
                                  regression . . . . . . . . . . . . . . . 423--438
           Andrea Rotnitzky and   
               Quanhong Lei and   
               Mariela Sued and   
                James M. Robins   Improved double-robust estimation in
                                  missing data and causal inference models 439--456
             D. Pfeffermann and   
                      S. Correa   Empirical bootstrap bias correction and
                                  estimation of prediction mean square
                                  error in small area estimation . . . . . 457--472
                    Chun Li and   
              Bryan E. Shepherd   A new residual for ordinal outcomes  . . 473--480
              J. E. Griffin and   
                    P. J. Brown   Structuring shrinkage: some correlated
                                  priors for regression  . . . . . . . . . 481--487
                T. Schweder and   
                    D. Sadykova   Information dynamics and optimal
                                  sampling in capture-recapture  . . . . . 488--493
                  D. Magirr and   
                    T. Jaki and   
                   J. Whitehead   A generalized Dunnett test for multi-arm
                                  multi-stage clinical studies with
                                  treatment selection  . . . . . . . . . . 494--501
           Tyler J. Vanderweele   Inference for additive interaction under
                                  exposure misclassification . . . . . . . 502--508
         Gauri Sankar Datta and   
               J. N. K. Rao and   
             David Daniel Smith   Amendments and Corrections: ``On
                                  Measuring the Variability of Small Area
                                  Estimators under a Basic Area Level
                                  Model'' [MR2158619]  . . . . . . . . . . 509--509

Biometrika
Volume 99, Number 3, September, 2012

    Omiros Papaspiliopoulos and   
                 Yvo Pokern and   
          Gareth O. Roberts and   
               Andrew M. Stuart   Nonparametric estimation of diffusions:
                                  a differential equations approach  . . . 511--531
           Nicolas Verzelen and   
                 Wenwen Tao and   
         Hans-Georg Müller   Inferring stochastic dynamics from
                                  functional data  . . . . . . . . . . . . 533--550
               Sungkyu Jung and   
              Ian L. Dryden and   
                   J. S. Marron   Analysis of principal nested spheres . . 551--568
                  Hung Hung and   
                Peishien Wu and   
                   Iping Tu and   
                    Suyun Huang   On multilinear principal component
                                  analysis of order-two tensors  . . . . . 569--583
            Karim Oualkacha and   
              Louis-Paul Rivest   On the estimation of an average rigid
                                  body motion  . . . . . . . . . . . . . . 585--598
               Marco Carone and   
           Masoud Asgharian and   
                 Mei-Cheng Wang   Nonparametric incidence estimation from
                                  prevalent cohort survival data . . . . . 599--613
                    Li Chen and   
                  D. Y. Lin and   
                   Donglin Zeng   Predictive accuracy of covariates for
                                  event times  . . . . . . . . . . . . . . 615--630
                  Ming Zhou and   
                  Jae Kwang Kim   An efficient method of estimation for
                                  longitudinal surveys with monotone
                                  missing data . . . . . . . . . . . . . . 631--648
                    Jing Xu and   
              Gilbert Mackenzie   Modelling covariance structure in
                                  bivariate marginal models for
                                  longitudinal data  . . . . . . . . . . . 649--662
                  S. Favaro and   
                   A. Lijoi and   
               I. Prünster   On the stick-breaking representation of
                                  normalized inverse Gaussian priors . . . 663--674
         Thomas J. DiCiccio and   
            Todd A. Kuffner and   
              G. Alastair Young   Objective Bayes, conditional inference
                                  and the signed root likelihood ratio
                                  statistic  . . . . . . . . . . . . . . . 675--686
                  Zhihua Su and   
                 R. Dennis Cook   Inner envelopes: efficient estimation in
                                  multivariate linear regression . . . . . 687--702
               Chenlei Leng and   
                Cheng Yong Tang   Penalized empirical likelihood and
                                  growing dimensional general estimating
                                  equations  . . . . . . . . . . . . . . . 703--716
                      W. Lu and   
                Y. Goldberg and   
                     J. P. Fine   On the robustness of the adaptive lasso
                                  to model misspecification  . . . . . . . 717--731
                Adam J. Rothman   Positive definite estimators of large
                                  covariance matrices  . . . . . . . . . . 733--740
                  D. R. Cox and   
          Christiana Kartsonaki   The fitting of complex parametric models 741--747
                   C. Devon Lin   Designs of variable resolution . . . . . 748--754
                   Fei Wang and   
                    Lu Wang and   
               Peter X.-K. Song   Quadratic inference function approach to
                                  merging longitudinal studies: validation
                                  and joint estimation . . . . . . . . . . 755--762

Biometrika
Volume 99, Number 4, December, 2012

                P. R. Rosenbaum   Testing one hypothesis twice in
                                  observational studies  . . . . . . . . . 763--774
                    J. Yang and   
                 K. Miescke and   
                   P. Mccullagh   Classification based on a permanental
                                  process with cyclic approximation  . . . 775--786
         Paul H. Garthwaite and   
            Frank Critchley and   
      Karim Anaya-Izquierdo and   
         Emmanuel Mubwandarikwa   Orthogonalization of vectors with
                                  minimal adjustment . . . . . . . . . . . 787--798
                 Peter Hall and   
                Tapabrata Maiti   Choosing trajectory and data type when
                                  classifying functional data  . . . . . . 799--811
                David Kraus and   
            Victor M. Panaretos   Dispersion operators and resistant
                                  second-order functional data analysis    813--832
               John T. Kent and   
                Kanti V. Mardia   A geometric approach to projective shape
                                  and the cross ratio  . . . . . . . . . . 833--849
               Hanwen Huang and   
                 Yufeng Liu and   
                   J. S. Marron   Bidirectional discrimination with
                                  application to data visualization  . . . 851--864
                      Hung Hung   A two-stage dimension-reduction method
                                  for transformed responses and its
                                  applications . . . . . . . . . . . . . . 865--877
                 Tingni Sun and   
                  Cun-Hui Zhang   Scaled sparse linear regression  . . . . 879--898
              Xiaotong Shen and   
           Hsin-Cheng Huang and   
                        Wei Pan   Simultaneous supervised clustering and
                                  feature selection over a graph . . . . . 899--914
               Binyan Jiang and   
                   Wei-Liem Loh   On the sparsity of signals in a random
                                  sample . . . . . . . . . . . . . . . . . 915--928
               James Y. Dai and   
         Charles Kooperberg and   
            Michael Leblanc and   
               Ross L. Prentice   Two-stage testing procedures with
                                  independent filtering for genome-wide
                                  gene-environment interaction . . . . . . 929--944
               F. J. Breidt and   
                     G. Chauvet   Penalized balanced sampling  . . . . . . 945--958
           Ronald W. Butler and   
             Douglas A. Bronson   Bootstrap confidence bands for sojourn
                                  distributions in multistate semi-Markov
                                  models with right censoring  . . . . . . 959--972
                  Hui Jiang and   
                  Julia Salzman   Statistical properties of an early
                                  stopping rule for resampling-based
                                  multiple testing . . . . . . . . . . . . 973--980
           Merlise A. Clyde and   
                    Joyee Ghosh   Finite population estimators in
                                  stochastic search variable selection . . 981--988
                P. G. M. Forbes   Compatible weighted proper scoring rules 989--994
       Kwun Chuen Gary Chan and   
             Ying Qing Chen and   
                   Chong-Zhi Di   Proportional mean residual life model
                                  for right-censored length-biased data    995--1000
            Cheng Yong Tang and   
                   Yongsong Qin   An efficient empirical likelihood
                                  approach for estimating equations with
                                  missing data . . . . . . . . . . . . . . 1001--1007


Biometrika
Volume 100, Number 1, March, 2013

                  A. C. Davison   Editorial  . . . . . . . . . . . . . . . 1--1
                   John Aldrich   Karl Pearson's \booktitleBiometrika:
                                  1901--36 . . . . . . . . . . . . . . . . 3--15
             D. M. Titterington   \booktitleBiometrika highlights from
                                  volume 28 onwards  . . . . . . . . . . . 17--73
          Anjishnu Banerjee and   
            David B. Dunson and   
                Surya T. Tokdar   Efficient Gaussian process regression
                                  for large datasets . . . . . . . . . . . 75--89
             Peter J. Green and   
                    Alun Thomas   Sampling decomposable graphs using a
                                  Markov chain on junction trees . . . . . 91--110
                  C. Dombry and   
        F. Éyi-Minko and   
                     M. Ribatet   Conditional simulation of max-stable
                                  processes  . . . . . . . . . . . . . . . 111--124
          Jeremy T. Gaskins and   
             Michael J. Daniels   A nonparametric prior for simultaneous
                                  covariance estimation  . . . . . . . . . 125--138
                T. Tony Cai and   
                 Hongzhe Li and   
                Weidong Liu and   
                     Jichun Xie   Covariate-adjusted precision matrix
                                  estimation with an application in
                                  genetical genomics . . . . . . . . . . . 139--156
             X. Jessie Jeng and   
                T. Tony Cai and   
                     Hongzhe Li   Simultaneous discovery of rare and
                                  common segment variants  . . . . . . . . 157--172
                  Chenxi Li and   
                  Jason P. Fine   Smoothed nonparametric estimation for
                                  current status competing risks data  . . 173--187
                 W. R. Bell and   
                G. S. Datta and   
                       M. Ghosh   Benchmarking small area estimators . . . 189--202
                Seonjin Kim and   
                   Zhibiao Zhao   Unified inference for sparse and dense
                                  longitudinal models  . . . . . . . . . . 203--212
            William Kleiber and   
                 Marc G. Genton   Spatially varying cross-correlation
                                  coefficients in the presence of nugget
                                  effects  . . . . . . . . . . . . . . . . 213--220
                  Simon N. Wood   On $p$-values for smooth components of
                                  an extended generalized additive model   221--228
                   Qing Mai and   
                        Hui Zou   The Kolmogorov filter for variable
                                  screening in high-dimensional binary
                                  classification . . . . . . . . . . . . . 229--234
            Peter M. Aronow and   
               Donald K. K. Lee   Interval estimation of population means
                                  under unknown but bounded probabilities
                                  of sample selection  . . . . . . . . . . 235--240
        Elizabeth L. Ogburn and   
           Tyler J. Vanderweele   Bias attenuation results for
                                  nondifferentially mismeasured ordinal
                                  and coarsened confounders  . . . . . . . 241--248
               Shengli Zhao and   
                 Pengfei Li and   
              Rohana Karunamuni   Blocked two-level regular factorial
                                  designs with weak minimum aberration . . 249--253
                Yuanzhen He and   
                     Boxin Tang   Strong orthogonal arrays and associated
                                  Latin hypercubes for computer
                                  experiments  . . . . . . . . . . . . . . 254--260
                 Axel Gandy and   
                F. Din-Houn Lau   Non-restarting cumulative sum charts and
                                  control of the false discovery rate  . . 261--268
           Kwun Chuen Gary Chan   Nuisance parameter elimination for
                                  proportional likelihood ratio models
                                  with nonignorable missingness and random
                                  truncation . . . . . . . . . . . . . . . 269--276
                  S. L. Rathbun   Optimal estimation of Poisson intensity
                                  with partially observed covariates . . . 277--281

Biometrika
Volume 100, Number 2, June, 2013

             Yoav Benjamini and   
                Vered Madar and   
                Philip B. Stark   Simultaneous confidence intervals
                                  uniformly more likely to determine signs 283--300
               Xiaolong Luo and   
                 Guang Chen and   
            S. Peter Ouyang and   
              Bruce W. Turnbull   A multiple comparison procedure for
                                  hypotheses with gatekeeping structure    301--317
                Yi-Hau Chen and   
        Nilanjan Chatterjee and   
             Raymond J. Carroll   Using shared genetic controls in studies
                                  of gene-environment interactions . . . . 319--338
               Qingxia Chen and   
               Donglin Zeng and   
          Joseph G. Ibrahim and   
               Mouna Akacha and   
                 Heinz Schmidli   Estimating time-varying effects for
                                  overdispersed recurrent events data with
                                  treatment switching  . . . . . . . . . . 339--354
           Felix Abramovich and   
               Vadim Grinshtein   Estimation of a sparse group of sparse
                                  vectors  . . . . . . . . . . . . . . . . 355--370
                 Yanyuan Ma and   
                     Liping Zhu   Efficiency loss and the linearity
                                  condition in dimension reduction . . . . 371--383
              Jae Kwang Kim and   
                  C. J. Skinner   Weighting in survey analysis under
                                  informative sampling . . . . . . . . . . 385--398
                         Z. Tan   Simple design-efficient calibration
                                  estimators for rejective and
                                  high-entropy sampling  . . . . . . . . . 399--415
                Peisong Han and   
                        Lu Wang   Estimation with missing data: beyond
                                  double robustness  . . . . . . . . . . . 417--430
                 Peter Hall and   
                Yingcun Xia and   
                   Jing-Hao Xue   Simple tiered classifiers  . . . . . . . 431--445
           Robert T. Krafty and   
            William O. Collinge   Penalized multivariate Whittle
                                  likelihood for power spectrum estimation 447--458
               N. G. Polson and   
                    J. G. Scott   Data augmentation for non-Gaussian
                                  regression models using variance-mean
                                  mixtures . . . . . . . . . . . . . . . . 459--471
              C. G. Kaufman and   
                    B. A. Shaby   The role of the range parameter for
                                  estimation and prediction in
                                  geostatistics  . . . . . . . . . . . . . 473--484
                A. Roverato and   
              M. Lupparelli and   
                    L. La Rocca   Log-mean linear models for binary data   485--494
               Hongyuan Cao and   
               Wenguang Sun and   
             Michael R. Kosorok   The optimal power puzzle: scrutiny of
                                  the monotone likelihood ratio assumption
                                  in multiple testing  . . . . . . . . . . 495--502
                Ruth Heller and   
                Yair Heller and   
                  Malka Gorfine   A consistent multivariate test of
                                  association based on ranks of distances  503--510
                   R. Huser and   
                  A. C. Davison   Composite likelihood estimation for the
                                  Brown-Resnick process  . . . . . . . . . 511--518
                   Ting Yan and   
                     Jinfeng Xu   A central limit theorem in the $ \beta
                                  $-model for undirected random graphs
                                  with a diverging number of vertices  . . 519--524
               Yuanyuan Lin and   
                      Kani Chen   Efficient estimation of the censored
                                  linear regression model  . . . . . . . . 525--530
                James R. Schott   On the likelihood ratio test for
                                  envelope models in multivariate linear
                                  regression . . . . . . . . . . . . . . . 531--537

Biometrika
Volume 100, Number 3, September, 2013

     Miguel A. Martinez-Beneito   A general modelling framework for
                                  multivariate disease mapping . . . . . . 539--553
             J.-F. Beaumont and   
                  D. Haziza and   
                  A. Ruiz-Gazen   A unified approach to robust estimation
                                  in finite population sampling  . . . . . 555--569
                  R. Arnold and   
                     P. E. Jupp   Statistics of orthogonal axial frames    571--586
                   C. Y. Robert   Automatic declustering of rare events    587--606
     Hans-Georg Müller and   
                  Yichao Wu and   
                       Fang Yao   Continuously additive models for
                                  nonlinear functional regression  . . . . 607--622
               Weining Shen and   
            Surya T. Tokdar and   
               Subhashis Ghosal   Adaptive Bayesian multivariate density
                                  estimation with Dirichlet mixtures . . . 623--640
                    Zhou Yu and   
                 Liping Zhu and   
                  Heng Peng and   
                     Lixing Zhu   Dimension reduction and predictor
                                  selection in semiparametric models . . . 641--654
                  Yang Ning and   
                        Han Liu   High-dimensional semiparametric
                                  bigraphical models . . . . . . . . . . . 655--670
        Daniel F. McCaffrey and   
             J. R. Lockwood and   
              Claude M. Setodji   Inverse probability weighting with
                                  error-prone covariates . . . . . . . . . 671--680
                Baqun Zhang and   
      Anastasios A. Tsiatis and   
              Eric B. Laber and   
                 Marie Davidian   Robust estimation of optimal dynamic
                                  treatment regimes for sequential
                                  treatment decisions  . . . . . . . . . . 681--694
                     S. Kim and   
                     J. Cai and   
                          W. Lu   More efficient estimators for
                                  case-cohort studies  . . . . . . . . . . 695--708
             Feng-Chang Lin and   
            Young K. Truong and   
                  Jason P. Fine   Robust analysis of semiparametric
                                  renewal process models . . . . . . . . . 709--726
             Feng-Chang Lin and   
                Jianwen Cai and   
              Jason P. Fine and   
                Huichuan J. Lai   Nonparametric estimation of the mean
                                  function for recurrent event data with
                                  missing event category . . . . . . . . . 727--740
                     Bo Liu and   
                  Wenbin Lu and   
                   Jiajia Zhang   Kernel smoothed profile likelihood
                                  estimation in the accelerated failure
                                  time frailty model for clustered
                                  survival data  . . . . . . . . . . . . . 741--755
                    Menggang Yu   Adjusted regression estimation for
                                  time-to-event data with differential
                                  measurement error  . . . . . . . . . . . 757--763
           Kwun Chuen Gary Chan   Survival analysis without survival data:
                                  connecting length-biased and
                                  case-control data  . . . . . . . . . . . 764--770
              P. G. Bissiri and   
                  A. Ongaro and   
                   S. G. Walker   Species sampling models: consistency for
                                  the number of species  . . . . . . . . . 771--777
                 O. Davidov and   
                  G. Iliopoulos   Convergence of Luo and Tsai's iterative
                                  algorithm for estimation in proportional
                                  likelihood ratio models  . . . . . . . . 778--780

Biometrika
Volume 100, Number 4, December, 2013

                      Anonymous   Contents of Volume 100 . . . . . . . . . i--vi
                      Anonymous   Acknowledgements . . . . . . . . . . . . vii--ix
                    M. Frei and   
              H. R. Künsch   Bridging the ensemble Kalman and
                                  particle filters . . . . . . . . . . . . 781--800
             Antonio Canale and   
                David B. Dunson   Nonparametric Bayes modelling of count
                                  processes  . . . . . . . . . . . . . . . 801--816
            Nathan M. Stein and   
                   Xiao-Li Meng   Practical perfect sampling using
                                  composite bounding chains: the
                                  Dirichlet-multinomial model  . . . . . . 817--830
              Thomas Lumley and   
              Alastair J. Scott   Two-sample rank tests under complex
                                  sampling . . . . . . . . . . . . . . . . 831--842
           V. Dongmo Jiongo and   
                  D. Haziza and   
                    P. Duchesne   Controlling the bias of robust
                                  small-area estimators  . . . . . . . . . 843--858
                 Xiaoxi Liu and   
                   Donglin Zeng   Variable selection in semiparametric
                                  transformation models for right-censored
                                  data . . . . . . . . . . . . . . . . . . 859--876
            Chiung-Yu Huang and   
                       Jing Qin   Semiparametric estimation for the
                                  additive hazards model with
                                  left-truncated and right-censored data   877--888
              Xiaogang Duan and   
                  Xiao-Hua Zhou   Composite quantile regression for the
                                  receiver operating characteristic curve  889--900
                   Kun Chen and   
                Hongbo Dong and   
                  Kung-Sik Chan   Reduced rank regression via adaptive
                                  nuclear norm penalization  . . . . . . . 901--920
                  P. Fryzlewicz   High-dimensional volatility matrix
                                  estimation via wavelets and thresholding 921--938
             R. Dennis Cook and   
                      Zhihua Su   Scaled envelopes: scale-invariant and
                                  efficient estimation in multivariate
                                  linear regression  . . . . . . . . . . . 939--954
                  Xiao Wang and   
                    Pang Du and   
                   Jinglai Shen   Smoothing splines with varying smoothing
                                  parameter  . . . . . . . . . . . . . . . 955--970
                    A. Kume and   
              S. P. Preston and   
              Andrew T. A. Wood   Saddlepoint approximations for the
                                  normalizing constant of Fisher-Bingham
                                  distributions on products of spheres and
                                  Stiefel manifolds  . . . . . . . . . . . 971--984
                  D. Magirr and   
                    T. Jaki and   
                   M. Posch and   
               F. Klinglmueller   Simultaneous confidence intervals that
                                  are compatible with closed testing in
                                  adaptive designs . . . . . . . . . . . . 985--996
                Qiong Zhang and   
               Peter Z. G. Qian   Designs for crossvalidating
                                  approximation models . . . . . . . . . . 997--1004
                  Simon N. Wood   A simple test for random effects in
                                  regression models  . . . . . . . . . . . 1005--1010
                 A. Armagan and   
               D. B. Dunson and   
                     J. Lee and   
                W. U. Bajwa and   
                      N. Strawn   Posterior consistency in linear models
                                  under shrinkage priors . . . . . . . . . 1011--1018
                   Edward Susko   Likelihood ratio tests with boundary
                                  constraints using data-dependent degrees
                                  of freedom . . . . . . . . . . . . . . . 1019--1023
                         Z. Tan   Amendments and Corrections: ``Simple
                                  design-efficient calibration estimators
                                  for rejective and high-entropy
                                  sampling'' [corrections to MR3068442]    1024--1024
             D. M. Titterington   Amendments and Corrections:
                                  ``\booktitleBiometrika highlights from
                                  volume 28 onwards'' [corrections to
                                  MR3034324] . . . . . . . . . . . . . . . 1024--1024


Biometrika
Volume 101, Number 1, March, 2014

      Jennifer L. Wadsworth and   
               Jonathan A. Tawn   Efficient inference for spatial extreme
                                  value processes associated to
                                  log-Gaussian random functions  . . . . . 1--15
            Grant B. Weller and   
                  Daniel Cooley   A sum characterization of hidden regular
                                  variation with likelihood inference via
                                  expectation-maximization . . . . . . . . 17--36
                 Maarten Jansen   Information criteria for variable
                                  selection under sparsity . . . . . . . . 37--55
               Yingying Fan and   
                      Jinchi Lv   Asymptotic properties for combined $ L_1
                                  $ and concave regularization . . . . . . 57--70
                  Shifeng Xiong   Better subset regression . . . . . . . . 71--84
              Arend Voorman and   
                Ali Shojaie and   
                 Daniela Witten   Graph estimation with joint additive
                                  models . . . . . . . . . . . . . . . . . 85--101
                 Teng Zhang and   
                        Hui Zou   Sparse precision matrix estimation via
                                  lasso penalized $D$-trace loss . . . . . 103--120
               Michael Vogt and   
                  Oliver Linton   Nonparametric estimation of a periodic
                                  sequence in the presence of a smooth
                                  trend  . . . . . . . . . . . . . . . . . 121--140
               Andrea Kraus and   
            Victor M. Panaretos   Frequentist estimation of an epidemic's
                                  spreading potential when observations
                                  are scarce . . . . . . . . . . . . . . . 141--154
               Jingchen Liu and   
              Andrew Gelman and   
              Jennifer Hill and   
                 Yu-Sung Su and   
                Jonathan Kropko   On the stationary distribution of
                                  iterative imputations  . . . . . . . . . 155--173
                A. Skrondal and   
                S. Rabe-Hesketh   Protective estimation of mixed-effects
                                  logistic regression when data are not
                                  missing at random  . . . . . . . . . . . 175--188
          Simon P. J. Byrne and   
                A. Philip Dawid   Retrospective-prospective symmetry in
                                  the likelihood and Bayesian analysis of
                                  case-control studies . . . . . . . . . . 189--204
                Xinyu Zhang and   
                 Guohua Zou and   
                      Hua Liang   Model averaging and weight choice in
                                  linear mixed-effects models  . . . . . . 205--218
                  J. Peters and   
               P. Bühlmann   Identifiability of Gaussian structural
                                  equation models with equal error
                                  variances  . . . . . . . . . . . . . . . 219--228
             Changliang Zou and   
                Liuhua Peng and   
                  Long Feng and   
                   Zhaojun Wang   Multivariate sign-based high-dimensional
                                  tests for sphericity . . . . . . . . . . 229--236
            S. Vansteelandt and   
             T. Martinussen and   
        E. J. Tchetgen Tchetgen   On adjustment for auxiliary covariates
                                  in additive hazard models for the
                                  analysis of randomized experiments . . . 237--244
                    C. Heinrich   The mode functional is not elicitable    245--251
           T. C. O. Fonseca and   
          M. A. R. Ferreira and   
                    H. S. Migon   `Objective Bayesian analysis for the
                                  Student-$t$ regression model'  . . . . . 252--252

Biometrika
Volume 101, Number 2, June, 2014

            Sihai Dave Zhao and   
                T. Tony Cai and   
                     Hongzhe Li   Direct estimation of differential
                                  networks . . . . . . . . . . . . . . . . 253--268
                  Lee H. Dicker   Variance estimation in high-dimensional
                                  linear models  . . . . . . . . . . . . . 269--284
                 S. Petrone and   
                J. Rousseau and   
                  C. Scricciolo   Bayes and empirical Bayes: do they
                                  merge? . . . . . . . . . . . . . . . . . 285--302
                 Lizhen Lin and   
                David B. Dunson   Bayesian monotone regression using
                                  Gaussian process projection  . . . . . . 303--317
                Jiajie Chen and   
               Peter Z. G. Qian   Latin hypercube designs with controlled
                                  correlations and multi-dimensional
                                  stratification . . . . . . . . . . . . . 319--332
                    Yu Tang and   
                    Hongquan Xu   Permuting regular fractional factorial
                                  designs for screening quantitative
                                  factors  . . . . . . . . . . . . . . . . 333--350
             Arman Sabbaghi and   
        Tirthankar Dasgupta and   
                  C. F. Jeff Wu   Indicator functions and the algebra of
                                  the linear-quadratic parameterization    351--363
               Hsin-Ping Wu and   
                   John Stufken   Locally $ \phi_p$-optimal designs for
                                  generalized linear models with a
                                  single-variable quadratic polynomial
                                  predictor  . . . . . . . . . . . . . . . 365--375
            Adrian Baddeley and   
Jean-François Coeurjolly and   
                  Ege Rubak and   
           Rasmus Waagepetersen   Logistic regression for spatial Gibbs
                                  point processes  . . . . . . . . . . . . 377--392
                    C. Deng and   
        R. P. Waagepetersen and   
                        Y. Guan   A combined estimating function approach
                                  for fitting stationary point process
                                  models . . . . . . . . . . . . . . . . . 393--408
              Davide Pigoli and   
           John A. D. Aston and   
              Ian L. Dryden and   
              Piercesare Secchi   Distances and inference for covariance
                                  operators  . . . . . . . . . . . . . . . 409--422
              Manabu Kuroki and   
                    Judea Pearl   Measurement bias and effect restoration
                                  in causal inference  . . . . . . . . . . 423--437
              Jae Kwang Kim and   
                      Jongho Im   Propensity score adjustment with several
                                  follow-ups . . . . . . . . . . . . . . . 439--448
                    D. Zhan and   
                     J. D. Hart   Testing equality of a large number of
                                  densities  . . . . . . . . . . . . . . . 449--464
                   Yijian Huang   Bootstrap for the case-cohort design . . 465--476
                  Baiguo An and   
                Jianhua Guo and   
                     Yufeng Liu   Hypothesis testing for band size
                                  detection of high-dimensional banded
                                  precision matrices . . . . . . . . . . . 477--483
              Seunggeun Lee and   
                    Fei Zou and   
                 Fred A. Wright   Convergence of sample eigenvalues,
                                  eigenvectors, and principal component
                                  scores for ultra-high dimensional data   484--490
               M. Soleymani and   
                   S. M. S. Lee   Sequential combination of weighted and
                                  nonparametric bagging for classification 491--498
                    G. P. Nason   Multiscale variance stabilization via
                                  maximum likelihood . . . . . . . . . . . 499--504

Biometrika
Volume 101, Number 3, September, 2014

                 R. L. Prentice   Self-consistent nonparametric maximum
                                  likelihood estimator of the bivariate
                                  survivor function  . . . . . . . . . . . 505--518
                   Hong Zhu and   
                 Mei-Cheng Wang   Nonparametric inference on bivariate
                                  survival data with interval sampling:
                                  association estimation and testing . . . 519--533
                 C. Chauvel and   
                   J. O'Quigley   Tests for comparing estimated survival
                                  functions  . . . . . . . . . . . . . . . 535--552
             Mei-Cheng Wang and   
                Chiung-Yu Huang   Statistical inference methods for
                                  recurrent event processes with shape and
                                  size parameters  . . . . . . . . . . . . 553--566
                A. Delaigle and   
                    P. Hall and   
                  J. R. Wishart   New approaches to nonparametric and
                                  semiparametric regression for univariate
                                  and multivariate group testing data  . . 567--585
                    D. Wang and   
              C. S. McMahan and   
            C. M. Gallagher and   
               K. B. Kulasekera   Semiparametric group testing regression
                                  models . . . . . . . . . . . . . . . . . 587--598
                 Xiaoyu Jia and   
               Shing M. Lee and   
               Ying Kuen Cheung   Characterization of the likelihood
                                  continual reassessment method  . . . . . 599--612
                 Zonghui Hu and   
           Dean A. Follmann and   
                   Naisyin Wang   Estimation of mean response via the
                                  effective balancing score  . . . . . . . 613--624
                Chong Zhang and   
                     Yufeng Liu   Multicategory angle-based large-margin
                                  classification . . . . . . . . . . . . . 625--640
                   S. Kundu and   
                   D. B. Dunson   Latent factor models for density
                                  estimation . . . . . . . . . . . . . . . 641--654
                Anthony Lee and   
       Krzysztof \Latuszy\'nski   Variance bounding and geometric
                                  ergodicity of Markov chain Monte Carlo
                                  kernels for approximate Bayesian
                                  computation  . . . . . . . . . . . . . . 655--671
           Andrew F. Magyar and   
                 David E. Tyler   The asymptotic inadmissibility of the
                                  spatial sign covariance matrix for
                                  elliptically symmetric distributions . . 673--688
                Jiancheng Jiang   Multivariate functional-coefficient
                                  regression models for nonlinear vector
                                  time series data . . . . . . . . . . . . 689--702
                   Min Tsao and   
                         Fan Wu   Extended empirical likelihood for
                                  estimating equations . . . . . . . . . . 703--710
                  A. Vexler and   
                     G. Tao and   
                   A. D. Hutson   Posterior expectation based on empirical
                                  likelihoods  . . . . . . . . . . . . . . 711--718
               Micha Mandel and   
                   Yosef Rinott   Estimation from cross-sectional samples
                                  under bias and dependence  . . . . . . . 719--725
            John J. Hanfelt and   
                     Lijia Wang   Simple relaxed conditional likelihood    726--732
               A. Boisbunon and   
                    Y. Maruyama   Inadmissibility of the best equivariant
                                  predictive density in the unknown
                                  variance case  . . . . . . . . . . . . . 733--740
             S. D. Georgiou and   
               S. Stylianou and   
                  K. Drosou and   
                 C. Koukouvinos   Construction of orthogonal and nearly
                                  orthogonal designs for computer
                                  experiments  . . . . . . . . . . . . . . 741--747
              Shurong Zheng and   
               Dandan Jiang and   
                Zhidong Bai and   
                      Xuming He   Inference on multiple correlation
                                  coefficients with moderately high
                                  dimensional data . . . . . . . . . . . . 748--754

Biometrika
Volume 101, Number 4, December, 2014

                       Jing Lei   Classification with confidence . . . . . 755--769
                 S. Kaufman and   
                      S. Rosset   When does more regularization imply
                                  fewer degrees of freedom? Sufficient
                                  conditions and counterexamples . . . . . 771--784
                    Wei Lin and   
                   Pixu Shi and   
                   Rui Feng and   
                     Hongzhe Li   Variable selection in regression with
                                  compositional covariates . . . . . . . . 785--797
                   Rui Song and   
                  Wenbin Lu and   
                Shuangge Ma and   
                 X. Jessie Jeng   Censored rank independence screening for
                                  high-dimensional survival data . . . . . 799--814
                    T. Wang and   
                     X. Guo and   
                     L. Zhu and   
                          P. Xu   Transformed sufficient dimension
                                  reduction  . . . . . . . . . . . . . . . 815--829
              Eric B. Laber and   
            Kristin A. Linn and   
           Leonard A. Stefanski   Interactive model building for
                                  $Q$-learning . . . . . . . . . . . . . . 831--847
    E. J. Tchetgen Tchetgen and   
                    I. Shpitser   Estimation of a semiparametric natural
                                  direct effect model incorporating
                                  baseline covariates  . . . . . . . . . . 849--864
                   D. Vogel and   
                    D. E. Tyler   Robust estimators for nondecomposable
                                  elliptical graphical models  . . . . . . 865--882
            Daniele Durante and   
                David B. Dunson   Nonparametric Bayes dynamic modelling of
                                  relational data  . . . . . . . . . . . . 883--898
               Jiangtao Gou and   
            Ajit C. Tamhane and   
                    Dong Xi and   
                       Dror Rom   A class of improved hybrid
                                  Hochberg--Hommel type step-up multiple
                                  test procedures  . . . . . . . . . . . . 899--911
              Munmun Biswas and   
       Minerva Mukhopadhyay and   
                  Anil K. Ghosh   A distribution-free two-sample run test
                                  applicable to high-dimensional data  . . 913--926
                     A. Sen and   
                         B. Sen   Testing independence and goodness-of-fit
                                  in linear models . . . . . . . . . . . . 927--942
            R. E. L. Aldred and   
               R. A. Bailey and   
           Brendan D. Mckay and   
                 Ian M. Wanless   Circular designs balanced for neighbours
                                  at distances one and two . . . . . . . . 943--956
             Rahul Mukerjee and   
                Fasheng Sun and   
                     Boxin Tang   Nearly orthogonal arrays mappable into
                                  fully orthogonal arrays  . . . . . . . . 957--963
             Ian J. Barnett and   
                     Xihong Lin   Analytical $p$-value calculation for the
                                  higher criticism test in finite-$d$
                                  problems . . . . . . . . . . . . . . . . 964--970
                  Peng Ding and   
           Tyler J. Vanderweele   Generalized Cornfield conditions for the
                                  risk difference  . . . . . . . . . . . . 971--977
                James R. Schott   Tests for Kronecker envelope models in
                                  multilinear principal components
                                  analysis . . . . . . . . . . . . . . . . 978--984
                   Jing Qin and   
               Dean A. Follmann   Semiparametric maximum likelihood
                                  inference by using failed contact
                                  attempts to adjust for nonignorable
                                  nonresponse  . . . . . . . . . . . . . . 985--991
              Yuzo Maruyama and   
         William E. Strawderman   Robust Bayesian variable selection in
                                  linear models with spherically symmetric
                                  errors . . . . . . . . . . . . . . . . . 992--998
                      S. Hidaka   General type-token distribution  . . . . 999--1002
             Changyong Feng and   
               Hongyue Wang and   
                  Tian Chen and   
                      Xin M. Tu   On exact forms of Taylor's theorem for
                                  vector-valued functions  . . . . . . . . 1003--1003
                      Anonymous   Contents of Volume 101 . . . . . . . . . i--vi
                      Anonymous   Acknowledgements . . . . . . . . . . . . vii--ix


Biometrika
Volume 102, Number 1, March, 2015

                 Daniel Gervini   Warped functional regression . . . . . . 1--14
               Xiaoke Zhang and   
                 Jane-Ling Wang   Varying-coefficient additive models for
                                  functional data  . . . . . . . . . . . . 15--32
                 Peirong Xu and   
                     Ji Zhu and   
                 Lixing Zhu and   
                          Yi Li   Covariance-enhanced discriminant
                                  analysis . . . . . . . . . . . . . . . . 33--45
                Shizhe Chen and   
          Daniela M. Witten and   
                    Ali Shojaie   Selection and estimation for mixed
                                  graphical models . . . . . . . . . . . . 47--64
                Yuanshan Wu and   
                   Guosheng Yin   Conditional quantile screening in
                                  ultrahigh-dimensional heterogeneous data 65--76
                 A. Belloni and   
            V. Chernozhukov and   
                        K. Kato   Uniform post-selection inference for
                                  least absolute deviation regression and
                                  other $Z$-estimation problems  . . . . . 77--94
                   Qin Wang and   
              Xiangrong Yin and   
                Frank Critchley   Dimension reduction based on the
                                  Hellinger integral . . . . . . . . . . . 95--106
                    J. Shao and   
                       J. Zhang   A transformation approach in linear
                                  mixed-effects models with informative
                                  missing responses  . . . . . . . . . . . 107--119
               Xiaodong Luo and   
                  Wei Yann Tsai   Moment-type estimators for the
                                  proportional likelihood ratio model with
                                  longitudinal data  . . . . . . . . . . . 121--134
                Y. K. Tseng and   
                   Y. R. Su and   
                     M. Mao and   
                     J. L. Wang   An extended hazard model with
                                  longitudinal covariates  . . . . . . . . 135--150
                 Y. Q. Zhao and   
                    D. Zeng and   
                E. B. Laber and   
                    R. Song and   
                    M. Yuan and   
                  M. R. Kosorok   Doubly robust learning for estimating
                                  individualized treatment with censored
                                  data . . . . . . . . . . . . . . . . . . 151--168
                   Jing Qin and   
                  Han Zhang and   
                 Pengfei Li and   
          Demetrius Albanes and   
                         Kai Yu   Using covariate-specific disease
                                  prevalence information to increase the
                                  power of case-control studies  . . . . . 169--180
                 Shogo Kato and   
                    M. C. Jones   A tractable and interpretable
                                  four-parameter family of unimodal
                                  distributions on the circle  . . . . . . 181--190
              Michael Rosenblum   Adaptive randomized trial designs that
                                  cannot be dominated by any standard
                                  design at the same total sample size . . 191--202
              Jinyuan Chang and   
                     Peter Hall   Double-bootstrap methods that use a
                                  single double-bootstrap simulation . . . 203--214
             Marc G. Genton and   
           Simone A. Padoan and   
                    Huiyan Sang   Multivariate max-stable spatial
                                  processes  . . . . . . . . . . . . . . . 215--230
                    Harry Crane   Generalized Ewens--Pitman model for
                                  Bayesian clustering  . . . . . . . . . . 231--238
        Anirvan Chakraborty and   
               Probal Chaudhuri   A Wilcoxon--Mann--Whitney-type test for
                                  infinite-dimensional data  . . . . . . . 239--246

Biometrika
Volume 102, Number 2, June, 2015

                    Yin Xia and   
                 Tianxi Cai and   
                    T. Tony Cai   Testing differential networks with
                                  applications to the detection of
                                  gene-gene interactions . . . . . . . . . 247--266
               Wenguang Sun and   
                        Zhi Wei   Hierarchical recognition of sparse
                                  patterns in large-scale simultaneous
                                  inference  . . . . . . . . . . . . . . . 267--280
                    D. Zeng and   
                      D. Y. Lin   On random-effects meta-analysis  . . . . 281--294
                  A. Doucet and   
                 M. K. Pitt and   
           G. Deligiannidis and   
                        R. Kohn   Efficient implementation of Markov chain
                                  Monte Carlo when using an unbiased
                                  likelihood estimator . . . . . . . . . . 295--313
                      Y. Yu and   
                    T. Wang and   
                 R. J. Samworth   A useful variant of the Davis--Kahan
                                  theorem for statisticians  . . . . . . . 315--323
                F. Blasques and   
              S. J. Koopman and   
                       A. Lucas   Information-theoretic optimality of
                                  observation-driven time series models
                                  for continuous responses . . . . . . . . 325--343
                  Jing Ning and   
                  Yong Chen and   
                Chunyan Cai and   
               Xuelin Huang and   
                 Mei-Cheng Wang   On the dependence structure of bivariate
                                  recurrent event processes: inference and
                                  estimation . . . . . . . . . . . . . . . 345--358
                 Shogo Kato and   
                  Arthur Pewsey   A Möbius transformation-induced
                                  distribution on the torus  . . . . . . . 359--370
           V. Roshan Joseph and   
                  Evren Gul and   
                        Shan Ba   Maximum projection designs for computer
                                  experiments  . . . . . . . . . . . . . . 371--380
                  Yichao Wu and   
           Leonard A. Stefanski   Automatic structure recovery for
                                  additive models  . . . . . . . . . . . . 381--395
                Zhiming Xia and   
                     Peihua Qiu   Jump information criterion for
                                  statistical inference in estimating
                                  discontinuous curves . . . . . . . . . . 397--408
                 Yanyuan Ma and   
                    Xinyu Zhang   A validated information criterion to
                                  determine the structural dimension in
                                  dimension reduction models . . . . . . . 409--420
                     F. Yao and   
                     E. Lei and   
                          Y. Wu   Effective dimension reduction for sparse
                                  functional data  . . . . . . . . . . . . 421--437
             R. Dennis Cook and   
            Liliana Forzani and   
                      Xin Zhang   Envelopes and reduced-rank regression    439--456
               A. Mukherjee and   
                    K. Chen and   
                    N. Wang and   
                         J. Zhu   On the degrees of freedom of
                                  reduced-rank estimators in multivariate
                                  regression . . . . . . . . . . . . . . . 457--477
               Lucas Janson and   
            William Fithian and   
               Trevor J. Hastie   Effective degrees of freedom: a flawed
                                  metaphor . . . . . . . . . . . . . . . . 479--485
            William Fithian and   
                   Stefan Wager   Semiparametric exponential families for
                                  heavy-tailed data  . . . . . . . . . . . 486--493
                 A. C. Atkinson   Optimum designs for two treatments with
                                  unequal variances in the presence of
                                  covariates . . . . . . . . . . . . . . . 494--499

Biometrika
Volume 102, Number 3, September, 2015

                E. B. Laber and   
                     Y. Q. Zhao   Tree-based methods for individualized
                                  treatment regimes  . . . . . . . . . . . 501--514
               Yuanjia Wang and   
             Baosheng Liang and   
               Xingwei Tong and   
               Karen Marder and   
             Susan Bressman and   
           Avi Orr-Urtreger and   
                 Nir Giladi and   
                   Donglin Zeng   Efficient estimation of nonparametric
                                  genetic risk function with censored data 515--532
                 P. Danaher and   
                    D. Paul and   
                        P. Wang   Covariance-based analyses of biological
                                  pathways . . . . . . . . . . . . . . . . 533--544
                   Xin Chen and   
             R. Dennis Cook and   
                 Changliang Zou   Diagnostic studies in sufficient
                                  dimension reduction  . . . . . . . . . . 545--558
          Takafumi Kanamori and   
              Hironori Fujisawa   Robust estimation under heavy
                                  contamination using unnormalized models  559--572
           Klaus Nordhausen and   
                 David E. Tyler   A cautionary note on robust covariance
                                  plug-in methods  . . . . . . . . . . . . 573--588
                 Kwangil Ro and   
             Changliang Zou and   
               Zhaojun Wang and   
                   Guosheng Yin   Outlier detection for high-dimensional
                                  data . . . . . . . . . . . . . . . . . . 589--599
           Sebastian Kurtek and   
                Karthik Bharath   Bayesian sensitivity analysis with the
                                  Fisher--Rao metric . . . . . . . . . . . 601--616
                J. G. Scott and   
              T. S. Shively and   
                   S. G. Walker   Nonparametric Bayesian testing for
                                  monotonicity . . . . . . . . . . . . . . 617--630
                    Ping Ma and   
           Jianhua Z. Huang and   
                      Nan Zhang   Efficient computation of smoothing
                                  splines via adaptive basis sampling  . . 631--645
                   M. Ghosh and   
                T. Kubokawa and   
                    Y. Kawakubo   Benchmarked empirical Bayes methods in
                                  multiplicative area-level models with
                                  risk evaluation  . . . . . . . . . . . . 647--659
          Simone Giannerini and   
         Esfandiar Maasoumi and   
               Estela Bee Dagum   Entropy testing for nonlinear serial
                                  dependence in time series  . . . . . . . 661--675
                T. W. Waite and   
                    D. C. Woods   Designs for generalized linear models
                                  with random block effects via
                                  information matrix approximations  . . . 677--693
      Holger Rootzén and   
                 Dmitrii Zholud   Efficient estimation of the number of
                                  false positives in high-throughput
                                  screening  . . . . . . . . . . . . . . . 695--704
          Jennifer L. Wadsworth   On the occurrence times of componentwise
                                  maxima and bias in likelihood inference
                                  for multivariate max-stable
                                  distributions  . . . . . . . . . . . . . 705--711
                      D. R. Cox   Big data and precision . . . . . . . . . 712--716
                 Guodong Li and   
                    Bo Guan and   
               Wai Keung Li and   
                Philip L. H. Yu   Hysteretic autoregressive time series
                                  models . . . . . . . . . . . . . . . . . 717--723
          Francis K. C. Hui and   
            David I. Warton and   
                Scott D. Foster   Order selection in finite mixture
                                  models: complete or observed likelihood
                                  information criteria?  . . . . . . . . . 724--730
                    Ling Ma and   
                     Tao Hu and   
                    Jianguo Sun   Sieve maximum likelihood regression
                                  analysis of dependent current status
                                  data . . . . . . . . . . . . . . . . . . 731--738
              E. H. Kennedy and   
          A. Sjölander and   
                    D. S. Small   Semiparametric causal inference in
                                  matched cohort studies . . . . . . . . . 739--746
                   Hua Yun Chen   A note on convergence of an iterative
                                  algorithm for semiparametric odds ratio
                                  models . . . . . . . . . . . . . . . . . 747--751

Biometrika
Volume 102, Number 4, December, 2015

                      Anonymous   Contents of Volume 102 . . . . . . . . . i--vi
                      Anonymous   Acknowledgements . . . . . . . . . . . . vii--ix
             Edgar Dobriban and   
            Kristen Fortney and   
              Stuart K. Kim and   
                    Art B. Owen   Optimal multiple testing under a
                                  Gaussian prior on the effect sizes . . . 753--766
               Jesse Y. Hsu and   
 José R. Zubizarreta and   
             Dylan S. Small and   
              Paul R. Rosenbaum   Strong control of the familywise error
                                  rate in observational studies that
                                  discover effect modification by
                                  exploratory methods  . . . . . . . . . . 767--782
                  V. Walter and   
               F. A. Wright and   
                    A. B. Nobel   Consistent testing for recurrent genomic
                                  aberrations  . . . . . . . . . . . . . . 783--796
                     Xin Lu and   
               Brent A. Johnson   Direct estimation of the mean outcome on
                                  treatment when treatment assignment and
                                  discontinuation compete  . . . . . . . . 797--807
                  A. Beskos and   
                  J. Dureau and   
              K. Kalogeropoulos   Bayesian inference for partially
                                  observed stochastic differential
                                  equations driven by fractional Brownian
                                  motion . . . . . . . . . . . . . . . . . 809--827
               Eric F. Lock and   
                David B. Dunson   Shared kernel Bayesian screening . . . . 829--842
             Takeru Matsuda and   
                Fumiyasu Komaki   Singular value shrinkage priors for
                                  Bayesian prediction  . . . . . . . . . . 843--854
             Emeric Thibaud and   
                   Thomas Opitz   Efficient inference and simulation for
                                  elliptical Pareto processes  . . . . . . 855--870
                A. Delaigle and   
                        P. Hall   Nonparametric methods for group testing
                                  data, taking dilution into account . . . 871--887
                J. Peyhardi and   
                C. Trottier and   
               Y. Guédon   A new specification of generalized
                                  linear models for categorical responses  889--906
                 Hongtu Zhu and   
          Joseph G. Ibrahim and   
                  Ming-Hui Chen   Diagnostic measures for the Cox
                                  regression model with missing covariates 907--923
            J. W. Stallings and   
                   J. P. Morgan   General weighted optimality of designed
                                  experiments  . . . . . . . . . . . . . . 925--935
                   H. Dette and   
              K. Kettelhake and   
                       F. Bretz   Designing dose-finding studies with an
                                  active control for exponential families  937--950
            M. Konstantinou and   
                       H. Dette   Locally optimal designs for
                                  errors-in-variables models . . . . . . . 951--958
               Yongdao Zhou and   
                    Hongquan Xu   Space-filling properties of good lattice
                                  point sets . . . . . . . . . . . . . . . 959--966
                Rakhi Singh and   
             Feng-Shun Chai and   
                     Ashish Das   Optimal two-level choice designs for any
                                  number of choice sets  . . . . . . . . . 967--973
               Hongyuan Cao and   
                    Wei Biao Wu   Changepoint estimation: another look at
                                  multiple testing problems  . . . . . . . 974--980
                   L. Camponovo   On the validity of the pairs bootstrap
                                  for lasso estimators . . . . . . . . . . 981--987
             Andriy Derkach and   
          Jerald F. Lawless and   
                        Lei Sun   Score tests for association under
                                  response-dependent sampling designs for
                                  expensive covariates . . . . . . . . . . 988--994
            Fabrizia Mealli and   
                Donald B. Rubin   Clarifying missing at random and related
                                  definitions, and implications when
                                  coupled with exchangeability . . . . . . 995--1000


Biometrika
Volume 103, Number 1, March, 2016

                  Bradley Efron   Empirical Bayes deconvolution estimates  1--20
              Lee H. Dicker and   
                  Sihai D. Zhao   High-dimensional classification via
                                  nonparametric empirical Bayes and
                                  maximum likelihood inference . . . . . . 21--34
          Tsuyoshi Kunihama and   
                David B. Dunson   Nonparametric Bayes inference on
                                  conditional independence . . . . . . . . 35--47
                 D. Simpson and   
               J. B. Illian and   
                F. Lindgren and   
        S. H. Sòrbye and   
                         H. Rue   Going off grid: computationally
                                  efficient inference for log-Gaussian Cox
                                  processes  . . . . . . . . . . . . . . . 49--70
                B. Ettinger and   
                 S. Perotto and   
                 L. M. Sangalli   Spatial regression models over
                                  two-dimensional manifolds  . . . . . . . 71--88
             Carlo Berzuini and   
                A. Philip Dawid   Stochastic mechanistic interaction . . . 89--102
         Alexander Petersen and   
         Hans-Georg Müller   Fréchet integration and adaptive metric
                                  selection for interpretable covariances
                                  of multivariate functional data  . . . . 103--120
         Katsiaryna Schwarz and   
            Tatyana Krivobokova   A unified framework for spline
                                  estimators . . . . . . . . . . . . . . . 121--131
Wenceslao González-Manteiga and   
María Dolores Martínez-Miranda and   
            Ingrid Van Keilegom   Goodness-of-fit test in parametric mixed
                                  effects models based on estimation of
                                  the error distribution . . . . . . . . . 133--146
                 Dehan Kong and   
                 Kaijie Xue and   
                   Fang Yao and   
                   Hao H. Zhang   Partially functional linear regression
                                  in high dimensions . . . . . . . . . . . 147--159
             Shengchun Kong and   
                        Bin Nan   Semiparametric approach to regression
                                  with a covariate subject to a detection
                                  limit  . . . . . . . . . . . . . . . . . 161--174
                   Jun Shao and   
                       Lei Wang   Semiparametric inverse propensity
                                  weighting for nonignorable missing data  175--187
                   Kelin Xu and   
               Wensheng Guo and   
               Momiao Xiong and   
                 Liping Zhu and   
                         Li Jin   An estimating equation approach to
                                  dimension reduction for longitudinal
                                  data . . . . . . . . . . . . . . . . . . 189--203
             Simon A. Broda and   
                    Raymond Kan   On distributions of ratios . . . . . . . 205--218
      Christiana Kartsonaki and   
                      D. R. Cox   Some matched comparisons of two
                                  distributions of survival time . . . . . 219--224
                    N. Lunardon   Towards a unification of second-order
                                  theory for likelihood and marginal
                                  composite likelihood . . . . . . . . . . 225--230
                 R. L. Prentice   Higher dimensional Clayton-Oakes models
                                  for multivariate failure time data . . . 231--236
            Sanat K. Sarkar and   
                  Yiyong Fu and   
                      Wenge Guo   Improving Holm's procedure using
                                  pairwise dependencies  . . . . . . . . . 237--243
                    S. Yang and   
                      J. K. Kim   A note on multiple imputation for method
                                  of moments estimation  . . . . . . . . . 244--251

Biometrika
Volume 103, Number 2, June, 2016

               Donglin Zeng and   
                     Lu Mao and   
                      D. Y. Lin   Maximum likelihood estimation for
                                  semiparametric transformation models
                                  with interval-censored data  . . . . . . 253--271
       Kwun Chuen Gary Chan and   
                       Jing Qin   Nonparametric maximum likelihood
                                  estimation for the multisample Wicksell
                                  corpuscle problem  . . . . . . . . . . . 273--286
                   Yan Zhou and   
               Peter X.-K. Song   Regression analysis of networked data    287--301
      Clément Dombry and   
          Sebastian Engelke and   
                  Marco Oesting   Exact simulation of max-stable processes 303--317
                Vinayak Rao and   
                 Lizhen Lin and   
                David B. Dunson   Data augmentation for models based on
                                  rejection sampling . . . . . . . . . . . 319--335
            S. A. Kharroubi and   
                 T. J. Sweeting   Exponential tilting in Bayesian
                                  asymptotics  . . . . . . . . . . . . . . 337--349
               Marco Singer and   
        Tatyana Krivobokova and   
                  Axel Munk and   
                  Bert de Groot   Partial least squares for dependent data 351--362
            Shu-Ching Chang and   
              Dale L. Zimmerman   Skew-normal antedependence models for
                                  skewed longitudinal data . . . . . . . . 363--376
             Jeng-Min Chiou and   
         Hans-Georg Müller   A pairwise interaction model for
                                  multivariate functional and longitudinal
                                  data . . . . . . . . . . . . . . . . . . 377--396
         E. Olusegun George and   
             Kyeongmi Cheon and   
                Yilian Yuan and   
                    Aniko Szabo   On exchangeable multinomial
                                  distributions  . . . . . . . . . . . . . 397--408
               Ting Fung Ma and   
                   Chun Yip Yau   A pairwise likelihood-based approach for
                                  changepoint detection in multivariate
                                  time series models . . . . . . . . . . . 409--421
           G. Alexandrovich and   
                H. Holzmann and   
                     A. Leister   Nonparametric identification and maximum
                                  likelihood estimation for hidden Markov
                                  models . . . . . . . . . . . . . . . . . 423--434
                  C. Hennig and   
                      C. Viroli   Quantile-based classifiers . . . . . . . 435--446
              M. Oguz-Alper and   
                   Y. G. Berger   Modelling complex survey data with
                                  population level information: an
                                  empirical likelihood approach  . . . . . 447--459
              Jae Kwang Kim and   
              Yongchan Kwon and   
              Myunghee Cho Paik   Calibrated propensity score method for
                                  survey nonresponse in cluster sampling   461--473
                  Wang Miao and   
      Eric J. Tchetgen Tchetgen   On varieties of doubly robust estimators
                                  under missingness not at random with a
                                  shadow variable  . . . . . . . . . . . . 475--482
                  Peng Ding and   
           Tyler J. Vanderweele   Sharp sensitivity bounds for mediation
                                  under unmeasured mediator-outcome
                                  confounding  . . . . . . . . . . . . . . 483--490
            Fabrizia Mealli and   
                Donald B. Rubin   [Comment]: `Clarifying missing at random
                                  and related definitions, and
                                  implications when coupled with
                                  exchangeability' . . . . . . . . . . . . 491--491
              Paul R. Rosenbaum   Retraction Notice  . . . . . . . . . . . e1--e1

Biometrika
Volume 103, Number 3, September, 2016

                 Yuying Xie and   
                 Yufeng Liu and   
                 William Valdar   Joint estimation of multiple dependent
                                  Gaussian graphical models with
                                  applications to mouse genomics . . . . . 493--511
              Kuang-Yao Lee and   
                    Bing Li and   
                    Hongyu Zhao   On an additive partial correlation
                                  operator and nonparametric estimation of
                                  graphical models . . . . . . . . . . . . 513--530
                  N. Shiers and   
                P. Zwiernik and   
             J. A. D. Aston and   
                    J. Q. Smith   The correlation space of Gaussian latent
                                  tree models and model selection without
                                  fitting  . . . . . . . . . . . . . . . . 531--545
                      Ai Ni and   
                Jianwen Cai and   
                   Donglin Zeng   Variable selection for case-cohort
                                  studies with failure time outcome  . . . 547--562
           Luigi Augugliaro and   
            Angelo M. Mineo and   
                   Ernst C. Wit   A differential-geometric approach to
                                  generalized linear models with grouped
                                  predictors . . . . . . . . . . . . . . . 563--577
                      Z. Su and   
                     G. Zhu and   
                    X. Chen and   
                        Y. Yang   Sparse envelope model: efficient
                                  estimation and response variable
                                  selection in multivariate linear
                                  regression . . . . . . . . . . . . . . . 579--593
           Aaron J. Molstad and   
                Adam J. Rothman   Indirect multivariate response linear
                                  regression . . . . . . . . . . . . . . . 595--607
                 Gongjun Xu and   
                 Lifeng Lin and   
                   Peng Wei and   
                        Wei Pan   An adaptive two-sample test for
                                  high-dimensional means . . . . . . . . . 609--624
            D. A. S. Fraser and   
                    N. Reid and   
                     N. Sartori   Accurate directional inference for
                                  vector parameters  . . . . . . . . . . . 625--639
          Stephen M. S. Lee and   
              G. Alastair Young   Distribution of likelihood-based
                                  $p$-values under a local alternative
                                  hypothesis . . . . . . . . . . . . . . . 641--652
            Bala Rajaratnam and   
                 Dario Vincenzi   A theoretical study of Stein's
                                  covariance estimator . . . . . . . . . . 653--666
                 O. Saarela and   
              L. R. Belzile and   
                 D. A. Stephens   A Bayesian view of doubly robust causal
                                  inference  . . . . . . . . . . . . . . . 667--681
                    Peisong Han   Intrinsic efficiency and multiple
                                  robustness in longitudinal studies with
                                  drop-out . . . . . . . . . . . . . . . . 683--700
         Christopher Nemeth and   
             Chris Sherlock and   
                 Paul Fearnhead   Particle Metropolis-adjusted Langevin
                                  algorithms . . . . . . . . . . . . . . . 701--717
                     C. Andrieu   On random- and systematic-scan samplers  719--726
             E. Paparoditis and   
                   T. Sapatinas   Bootstrap-based testing of equality of
                                  mean functions or equality of covariance
                                  operators for functional data  . . . . . 727--733
                    S. Yang and   
                      J. J. Lok   A goodness-of-fit test for structural
                                  nested mean models . . . . . . . . . . . 734--741
                       D. Oakes   On the win-ratio statistic in clinical
                                  trials with multiple types of event  . . 742--745

Biometrika
Volume 103, Number 4, December, 2016

                      D. R. Cox   Some pioneers of modern statistical
                                  theory: a personal reflection  . . . . . 747--759
              Kean Ming Tan and   
                  Yang Ning and   
          Daniela M. Witten and   
                        Han Liu   Replicates in high dimensions, with
                                  applications to latent variable
                                  graphical models . . . . . . . . . . . . 761--777
                A. Delaigle and   
                        P. Hall   Approximating fragmented functional data
                                  by segments of Markov chains . . . . . . 779--799
               L. C. Petito and   
                   N. P. Jewell   Misclassified group-tested current
                                  status data  . . . . . . . . . . . . . . 801--815
           Florence H. Yong and   
                    Lu Tian and   
                   Sheng Yu and   
                 Tianxi Cai and   
                      L. J. Wei   Optimal stratification in outcome
                                  prediction using baseline information    817--828
                     L. Liu and   
              M. G. Hudgens and   
                S. Becker-Dreps   On inverse probability-weighted
                                  estimators in the presence of
                                  interference . . . . . . . . . . . . . . 829--842
                   M. Hiabu and   
                  E. Mammen and   
M. D. Martínez-Miranda and   
                  J. P. Nielsen   In-sample forecasting with local linear
                                  survival densities . . . . . . . . . . . 843--859
                  Fang Fang and   
                       Jun Shao   Model selection with nonignorable
                                  nonresponse  . . . . . . . . . . . . . . 861--874
                    Wei Luo and   
                        Bing Li   Combining eigenvalues and variation of
                                  eigenvectors for order determination . . 875--887
                Shaojun Guo and   
                Yazhen Wang and   
                      Qiwei Yao   High-dimensional and banded vector
                                  autoregressions  . . . . . . . . . . . . 889--903
                  T. S. McElroy   Nonnested model comparisons for time
                                  series . . . . . . . . . . . . . . . . . 905--914
               Noel Cressie and   
          Andrew Zammit-Mangion   Multivariate spatial covariance models:
                                  a conditional approach . . . . . . . . . 915--935
       Jesper Mòller and   
      Farzaneh Safavimanesh and   
       Jakob Gulddahl Rasmussen   The cylindrical $K$-function and Poisson
                                  line cluster point processes . . . . . . 937--954
             Anindya Bhadra and   
            Jyotishka Datta and   
         Nicholas G. Polson and   
                Brandon Willard   Default Bayesian analysis with
                                  global--local shrinkage priors . . . . . 955--969
            Jyotishka Datta and   
                David B. Dunson   Bayesian inference on quasi-sparse count
                                  data . . . . . . . . . . . . . . . . . . 971--983
       Anirban Bhattacharya and   
          Antik Chakraborty and   
                Bani K. Mallick   Fast sampling with Gaussian scale
                                  mixture priors in high-dimensional
                                  regression . . . . . . . . . . . . . . . 985--991
                 Agniva Som and   
        Christopher M. Hans and   
           Steven N. MacEachern   A conditional Lindley paradox in
                                  Bayesian linear models . . . . . . . . . 993--999


Biometrika
Volume 104, Number 1, March, 2017

                    M. L. Stein   Should annual maximum temperatures
                                  follow a generalized extreme value
                                  distribution?  . . . . . . . . . . . . . 1--16
                    Q. Zhou and   
                    H. Zhou and   
                         J. Cai   Case-cohort studies with
                                  interval-censored failure time data  . . 17--29
           Aurelie Bertrand and   
          Catherine Legrand and   
         Raymond J. Carroll and   
      Christophe de Meester and   
            Ingrid Van Keilegom   Inference in a survival cure model with
                                  mismeasured covariates using a
                                  simulation--extrapolation approach . . . 31--50
                    Wei Luo and   
                 Yeying Zhu and   
                 Debashis Ghosh   On estimating regression-based causal
                                  effects using sufficient dimension
                                  reduction  . . . . . . . . . . . . . . . 51--65
             Seung Jun Shin and   
                  Yichao Wu and   
            Hao Helen Zhang and   
                     Yufeng Liu   Principal weighted support vector
                                  machines for sufficient dimension
                                  reduction in binary classification . . . 67--81
                  E. Ollier and   
                     V. Viallon   Regression modelling on stratified data
                                  with the lasso . . . . . . . . . . . . . 83--96
                     Yiyuan She   Selective factor extraction in high
                                  dimensions . . . . . . . . . . . . . . . 97--110
              Jinyuan Chang and   
                  Qiwei Yao and   
                       Wen Zhou   Testing for high-dimensional white noise
                                  using maximum cross-correlations . . . . 111--127
                    X. Wang and   
                   B. Jiang and   
                      J. S. Liu   Generalized $R$-squared for detecting
                                  dependence . . . . . . . . . . . . . . . 129--139
                     Tao Yu and   
                 Pengfei Li and   
                       Jing Qin   Density estimation in the two-sample
                                  problem with likelihood ratio ordering   141--152
                    H. E. Ogden   On asymptotic validity of naive
                                  inference with an approximate likelihood 153--164
                    Y. Chen and   
                    J. Ning and   
                    Y. Ning and   
                K.-Y. Liang and   
               K. Bandeen-Roche   On pseudolikelihood inference for
                                  semiparametric models with boundary
                                  problems . . . . . . . . . . . . . . . . 165--179
            I. M. Johnstone and   
                      B. Nadler   Roy's largest root test under rank-one
                                  alternatives . . . . . . . . . . . . . . 181--193
               L. Fattorini and   
             M. Marcheselli and   
                  C. Pisani and   
                    L. Pratelli   Design-based asymptotics for two-phase
                                  sampling strategies in environmental
                                  surveys  . . . . . . . . . . . . . . . . 195--205
           Mauricio Sadinle and   
               Jerome P. Reiter   Itemwise conditionally independent
                                  nonresponse modelling for incomplete
                                  multivariate data  . . . . . . . . . . . 207--220
                  J. K. Kim and   
                        S. Yang   A note on multiple imputation under
                                  complex sampling . . . . . . . . . . . . 221--228
                 Linbo Wang and   
            James M. Robins and   
           Thomas S. Richardson   On falsification of the binary
                                  instrumental variable model  . . . . . . 229--236
               Ruey S. Tsay and   
              Mohsen Pourahmadi   Modelling structured correlation
                                  matrices . . . . . . . . . . . . . . . . 237--242
                 Linbo Wang and   
            James M. Robins and   
           Thomas S. Richardson   Erratum: On falsification of the binary
                                  instrumental variable model  . . . . . . e1

Biometrika
Volume 104, Number 2, June, 2017

                    Xin Gao and   
             Raymond J. Carroll   Data integration with high
                                  dimensionality . . . . . . . . . . . . . 251--272
                Junhui Wang and   
              Xiaotong Shen and   
                  Yiwen Sun and   
                       Annie Qu   Automatic tagging with existing and
                                  novel tags . . . . . . . . . . . . . . . 273--290
                    P. Ding and   
          T. J. Vanderweele and   
                   J. M. Robins   Instrumental variables as bias
                                  amplifiers with general outcome and
                                  confounding  . . . . . . . . . . . . . . 291--302
              Seunggeun Lee and   
                    Wei Sun and   
             Fred A. Wright and   
                        Fei Zou   An improved and explicit surrogate
                                  variable analysis procedure by
                                  coefficient adjustment . . . . . . . . . 303--316
             D. M. Farewell and   
                   C. Huang and   
                     V. Didelez   Ignorability for general longitudinal
                                  data . . . . . . . . . . . . . . . . . . 317--326
                   A. R. Linero   Bayesian nonparametric analysis of
                                  longitudinal studies in the presence of
                                  informative missingness  . . . . . . . . 327--341
        O. Papaspiliopoulos and   
                     D. Rossell   Bayesian block-diagonal variable
                                  selection and model averaging  . . . . . 343--359
              N. Binkiewicz and   
           J. T. Vogelstein and   
                        K. Rohe   Covariate-assisted spectral clustering   361--377
                Onkar Dalal and   
                Bala Rajaratnam   Sparse Gaussian graphical model
                                  estimation via alternating minimization  379--395
                  Xin-Bing Kong   On the number of common factors with
                                  high-frequency data  . . . . . . . . . . 397--410
                 Haojie Ren and   
                   Nan Chen and   
                 Changliang Zou   Projection-based outlier detection in
                                  functional data  . . . . . . . . . . . . 411--423
            P. Constantinou and   
                P. Kokoszka and   
                    M. Reimherr   Testing separability of space-time
                                  functional processes . . . . . . . . . . 425--437
                 Sixia Chen and   
                   David Haziza   Multiply robust imputation procedures
                                  for the treatment of item nonresponse in
                                  surveys  . . . . . . . . . . . . . . . . 439--453
                  Qian Xiao and   
                    Hongquan Xu   Construction of maximin distance Latin
                                  squares and related Latin hypercube
                                  designs  . . . . . . . . . . . . . . . . 455--464
                Fasheng Sun and   
                     Boxin Tang   A general rotation method for orthogonal
                                  Latin hypercubes . . . . . . . . . . . . 465--472
                     W. Ehm and   
                 E. Y. Ovcharov   Bias-corrected score decomposition for
                                  generalized quantiles  . . . . . . . . . 473--480
               Clifford Lam and   
               Phoenix Feng and   
                     Charlie Hu   Nonlinear shrinkage estimation of large
                                  integrated covariance matrices . . . . . 481--488
                I. Kosmidis and   
                   A. Guolo and   
                       C. Varin   Improving the accuracy of
                                  likelihood-based inference in
                                  meta-analysis and meta-regression  . . . 489--496
               C. C. Holmes and   
                   S. G. Walker   Assigning a value to a power likelihood
                                  in a general Bayesian model  . . . . . . 497--503

Biometrika
Volume 104, Number 3, September, 2017

               Donglin Zeng and   
                    Fei Gao and   
                      D. Y. Lin   Maximum likelihood estimation for
                                  semiparametric regression models with
                                  multivariate interval-censored data  . . 505
                  Yukun Liu and   
                 Pengfei Li and   
                       Jing Qin   Maximum empirical likelihood estimation
                                  for abundance in a closed population
                                  from capture-recapture data  . . . . . . 527
               Xiongtao Dai and   
     Hans-Georg Müller and   
                       Fang Yao   Optimal Bayes classifiers for functional
                                  data and density ratios  . . . . . . . . 545
                  J. Molina and   
               A. Rotnitzky and   
                    M. Sued and   
                   J. M. Robins   Multiple robustness in factorized
                                  likelihood models  . . . . . . . . . . . 561
            Ming-Yueh Huang and   
           Kwun Chuen Gary Chan   Joint sufficient dimension reduction and
                                  estimation of conditional and average
                                  treatment effects  . . . . . . . . . . . 583
                 Linbo Wang and   
              Xiao-Hua Zhou and   
           Thomas S. Richardson   Identification and estimation of causal
                                  effects with outcomes truncated by death 597
                  Qing Zhou and   
                  Seunghyun Min   Uncertainty quantification under group
                                  sparsity . . . . . . . . . . . . . . . . 613
                     Y. She and   
                        K. Chen   Robust reduced-rank regression . . . . . 633
         Sanvesh Srivastava and   
      Barbara E. Engelhardt and   
                David B. Dunson   Expandable factor analysis . . . . . . . 649
                   Cheng Li and   
         Sanvesh Srivastava and   
                David B. Dunson   Simple, scalable and accurate posterior
                                  interval estimation  . . . . . . . . . . 665
                  A. Canale and   
                   A. Lijoi and   
                  B. Nipoti and   
               I. Prünster   On the Pitman--Yor process with spike
                                  and slab base measure  . . . . . . . . . 681
                  D. Dobler and   
              J. Beyersmann and   
                       M. Pauly   Non-strange weird resampling for complex
                                  survival data  . . . . . . . . . . . . . 699
                          Xu He   Interleaved lattice-based minimax
                                  distance designs . . . . . . . . . . . . 713
             Chris Sherlock and   
        Alexandre H. Thiery and   
                    Anthony Lee   Pseudo-marginal Metropolis--Hastings
                                  sampling using averages of unbiased
                                  estimators . . . . . . . . . . . . . . . 727
               M. Hristache and   
                     V. Patilea   Conditional moment models with data
                                  missing at random  . . . . . . . . . . . 735
                  D. J. Eck and   
                     R. D. Cook   Weighted envelope estimation to handle
                                  variability in model selection . . . . . 743
                I. Kosmidis and   
                   A. Guolo and   
                       C. Varin   Correction: ``Improving the accuracy of
                                  likelihood-based inference in
                                  meta-analysis and meta-regression''  . . 751

Biometrika
Volume 104, Number 4, December 1, 2017

                      Anonymous   Editor of \booktitleBiometrika . . . . . 753
                 Huili Yuan and   
                  Ruibin Xi and   
                 Chong Chen and   
                   Minghua Deng   Differential network analysis via lasso
                                  penalized $D$-trace loss . . . . . . . . 755
                 Yuan Zhang and   
           Elizaveta Levina and   
                         Ji Zhu   Estimating network edge probabilities by
                                  neighbourhood smoothing  . . . . . . . . 771
                  Jian Kang and   
          Hyokyoung G. Hong and   
                          Yi Li   Partition-based ultrahigh-dimensional
                                  variable screening . . . . . . . . . . . 785
              Odile Stalder and   
                 Alex Asher and   
                Liang Liang and   
         Raymond J. Carroll and   
                 Yanyuan Ma and   
                         others   Semiparametric analysis of complex
                                  polygenic gene-environment interactions
                                  in case-control studies  . . . . . . . . 801
                   Fang Han and   
                Shizhe Chen and   
                        Han Liu   Distribution-free tests of independence
                                  in high dimensions . . . . . . . . . . . 813
                 Liping Zhu and   
                     Kai Xu and   
                   Runze Li and   
                      Wei Zhong   Projection correlation between two
                                  random vectors . . . . . . . . . . . . . 829
             Takamichi Baba and   
          Takayuki Kanemori and   
             Yoshiyuki Ninomiya   A $ C_p $ criterion for semiparametric
                                  causal inference . . . . . . . . . . . . 845
                D. Benkeser and   
                  M. Carone and   
         M. J. Van Der Laan and   
                  P. B. Gilbert   Doubly robust nonparametric inference on
                                  the average treatment effect . . . . . . 863
           Byeong Yeob Choi and   
              Jason P. Fine and   
              M. Alan Brookhart   On two-stage estimation of structural
                                  instrumental variable models . . . . . . 881
              Tom M. W. Nye and   
              Xiaoxian Tang and   
            Grady Weyenberg and   
                 Ruriko Yoshida   Principal component analysis and the
                                  locus of the Fréchet mean in the space of
                                  phylogenetic trees . . . . . . . . . . . 901
          E. C. Kenne Pagui and   
                  A. Salvan and   
                     N. Sartori   Median bias reduction of maximum
                                  likelihood estimates . . . . . . . . . . 923
              M. W. Wheeler and   
               D. B. Dunson and   
                  A. H. Herring   Bayesian local extremum splines  . . . . 939
                S. S. Singh and   
                F. Lindsten and   
                    E. Moulines   Blocking strategies and stability of
                                  particle Gibbs samplers  . . . . . . . . 953
               Yuanyuan Lin and   
                   Yang Luo and   
                Shangyu Xie and   
                      Kani Chen   Robust rank estimation for
                                  transformation models with random
                                  effects  . . . . . . . . . . . . . . . . 971
                  S. Jadhav and   
                 H. L. Koul and   
                          Q. Lu   Dependent generalized functional linear
                                  models . . . . . . . . . . . . . . . . . 987
                  F. Cuevas and   
                   E. Porcu and   
                  M. Bevilacqua   Contours and dimple for the Gneiting
                                  class of space--time correlation
                                  functions  . . . . . . . . . . . . . . . 995
               K. Schorning and   
                   H. Dette and   
              K. Kettelhake and   
                 W. K. Wong and   
                       F. Bretz   Optimal designs for active controlled
                                  dose-finding trials with
                                  efficacy--toxicity outcomes  . . . . . . 1003


Biometrika
Volume 105, Number 1, March 1, 2018

                R. H. Spady and   
                      S. Stouli   Dual regression  . . . . . . . . . . . . 1
             Peter J. Green and   
                    Alun Thomas   A structural Markov property for
                                  decomposable graph laws that allows
                                  control of clique intersections  . . . . 19
        Marco Avella-Medina and   
              Elvezio Ronchetti   Robust and consistent variable selection
                                  in high-dimensional generalized linear
                                  models . . . . . . . . . . . . . . . . . 31
                  Peng Ding and   
            Tirthankar Dasgupta   A randomization-based perspective on
                                  analysis of variance: a test statistic
                                  robust to treatment effect heterogeneity 45
                Yanlin Tang and   
           Huixia Judy Wang and   
                     Emre Barut   Testing for the presence of significant
                                  covariates through conditional marginal
                                  regression . . . . . . . . . . . . . . . 57
                  Yao Zheng and   
               Wai Keung Li and   
                     Guodong Li   A robust goodness-of-fit test for
                                  generalized autoregressive conditional
                                  heteroscedastic models . . . . . . . . . 73
                    Z. Wang and   
                  J. K. Kim and   
                        S. Yang   Approximate Bayesian inference under
                                  informative sampling . . . . . . . . . . 91
             L. W. Miratrix and   
                   S. Wager and   
              J. R. Zubizarreta   Shape-constrained partial identification
                                  of a population mean under unknown
                                  probabilities of sample selection  . . . 103
                Yuanpei Cao and   
                    Wei Lin and   
                     Hongzhe Li   Two-sample tests of high-dimensional
                                  means for compositional data . . . . . . 115
                Yunro Chung and   
          Anastasia Ivanova and   
         Michael G. Hudgens and   
                  Jason P. Fine   Partial likelihood estimation of
                                  isotonic proportional hazards models . . 133
                 Myoung-Jae Lee   Simple least squares estimator for
                                  treatment effects using propensity score
                                  residuals  . . . . . . . . . . . . . . . 149
                  Jian Kang and   
             Brian J. Reich and   
               Ana-Maria Staicu   Scalar-on-image regression via the
                                  soft-thresholded Gaussian process  . . . 165
                   H. Dette and   
                R. Guchenko and   
                V. B. Melas and   
                     W. K. Wong   Optimal discrimination designs for
                                  semiparametric models  . . . . . . . . . 185
         Raymond K. W. Wong and   
           Kwun Chuen Gary Chan   Kernel-based covariate functional
                                  balancing for observational studies  . . 199
                         Lu Mao   On causal estimation using
                                  $U$-statistics . . . . . . . . . . . . . 215
                    L. Hong and   
              T. A. Kuffner and   
                      R. Martin   On overfitting and post-selection
                                  uncertainty assessments  . . . . . . . . 221
                  Yong Chen and   
                 Jing Huang and   
                  Yang Ning and   
             Kung-Yee Liang and   
               Bruce G. Lindsay   A conditional composite likelihood ratio
                                  test with boundary constraints . . . . . 225
                    N. Lunardon   On bias reduction and incidental
                                  parameters . . . . . . . . . . . . . . . 233
                N. A. Heard and   
              P. Rubin-Delanchy   Choosing between methods of combining
                                  $p$-values . . . . . . . . . . . . . . . 239
               A. Mukherjee and   
                    K. Chen and   
                    N. Wang and   
                         J. Zhu   On the degrees of freedom of
                                  reduced-rank estimators in multivariate
                                  regression . . . . . . . . . . . . . . . 247

Biometrika
Volume 105, Number 2, June 1, 2018

                    Yin Xia and   
                T. Tony Cai and   
                     Hongzhe Li   Joint testing and false discovery rate
                                  control in high-dimensional multivariate
                                  regression . . . . . . . . . . . . . . . 249
        Marco Avella-Medina and   
          Heather S. Battey and   
               Jianqing Fan and   
                     Quefeng Li   Robust estimation of high-dimensional
                                  covariance and precision matrices  . . . 271
                  Wentao Li and   
                 Paul Fearnhead   On the asymptotic efficiency of
                                  approximate Bayesian computation
                                  estimators . . . . . . . . . . . . . . . 285
                  Wentao Li and   
                 Paul Fearnhead   Convergence of regression-adjusted
                                  approximate Bayesian computation . . . . 301
                      C. Yu and   
                     P. D. Hoff   Adaptive multigroup confidence intervals
                                  with constant coverage . . . . . . . . . 319
                K. Fokianos and   
                   M. Pitsillou   Testing independence for multivariate
                                  time series via the auto-distance
                                  correlation matrix . . . . . . . . . . . 337
              Jinyuan Chang and   
            Aurore Delaigle and   
                 Peter Hall and   
                Cheng Yong Tang   A frequency domain analysis of the error
                                  distribution from noisy high-frequency
                                  data . . . . . . . . . . . . . . . . . . 353
                  H. Massam and   
                      Q. Li and   
                         X. Gao   Bayesian precision and covariance matrix
                                  estimation for graphical Gaussian models
                                  with edge and vertex symmetries  . . . . 371
               Sungkyu Jung and   
              Myung Hee Lee and   
                  Jeongyoun Ahn   On the number of principal components in
                                  high dimensions  . . . . . . . . . . . . 389
               Guoqing Diao and   
               Donglin Zeng and   
                 Chunlei Ke and   
                  Haijun Ma and   
                   Qi Jiang ...   Semiparametric regression analysis for
                                  composite endpoints subject to
                                  componentwise censoring  . . . . . . . . 403
               L. Fattorini and   
             M. Marcheselli and   
                  C. Pisani and   
                    L. Pratelli   Design-based maps for continuous spatial
                                  populations  . . . . . . . . . . . . . . 419
             J. E. Johndrow and   
                     K. Lum and   
                   D. B. Dunson   Theoretical limits of microclustering
                                  for record linkage . . . . . . . . . . . 431
                      D. Mondal   On edge correction of conditional and
                                  intrinsic autoregressions  . . . . . . . 447
                  O. Cronie and   
          M. N. M. Van Lieshout   A non-model-based approach to bandwidth
                                  selection for kernel estimators of
                                  spatial intensity functions  . . . . . . 455
              Xin-Bing Kong and   
                Shao-Jun Xu and   
                      Wang Zhou   Bootstrapping volatility functionals: a
                                  local and nonparametric perspective  . . 463
                Yaping Wang and   
              Jianfeng Yang and   
                    Hongquan Xu   On the connection between maximin
                                  distance designs and orthogonal designs  471
                 Jiwei Zhao and   
                     Yanyuan Ma   Optimal pseudolikelihood estimation in
                                  the analysis of multivariate missing
                                  data with nonignorable nonresponse . . . 479
                    S. Yang and   
                        P. Ding   Asymptotic inference of causal effects
                                  with observational studies trimmed by
                                  the estimated propensity scores  . . . . 487
             Nigel Stallard and   
                Peter K. Kimani   Uniformly minimum variance conditionally
                                  unbiased estimation in multi-arm
                                  multi-stage clinical trials  . . . . . . 495
               G. Claeskens and   
             T. Krivobokova and   
                  J. D. Opsomer   Asymptotic properties of penalized
                                  spline estimators  . . . . . . . . . . . 503

Biometrika
Volume 105, Number 3, September 1, 2018

           Marina Bogomolov and   
                    Ruth Heller   Assessing replicability of findings
                                  across two studies of multiple features  505
                   Weijie J. Su   When is the first spurious variable
                                  selected by sequential regression
                                  procedures?  . . . . . . . . . . . . . . 517
                         Jun Li   Asymptotic normality of interpoint
                                  distances for high-dimensional data with
                                  applications to the two-sample problem   529
                   L. Weihs and   
                   M. Drton and   
                 N. Meinshausen   Symmetric rank covariances: a
                                  generalized framework for nonparametric
                                  measures of dependence . . . . . . . . . 547
           Aaron J. Molstad and   
                Adam J. Rothman   Shrinking characteristics of precision
                                  matrix estimators  . . . . . . . . . . . 563
           R. de Fondeville and   
                  A. C. Davison   High-dimensional peaks-over-threshold
                                  inference  . . . . . . . . . . . . . . . 575
              D. T. Frazier and   
               G. M. Martin and   
               C. P. Robert and   
                    J. Rousseau   Asymptotic properties of approximate
                                  Bayesian computation . . . . . . . . . . 593
                     A. Lee and   
                    N. Whiteley   Variance estimation in the particle
                                  filter . . . . . . . . . . . . . . . . . 609
                        Y. Hoga   A structural break test for extremal
                                  dependence in $ \beta $-mixing random
                                  vectors  . . . . . . . . . . . . . . . . 627
                Ali Charkhi and   
                Gerda Claeskens   Asymptotic post-selection inference for
                                  the Akaike information criterion . . . . 645
                  C. Matias and   
                 T. Rebafka and   
                     F. Villers   A semiparametric extension of the
                                  stochastic block model for longitudinal
                                  networks . . . . . . . . . . . . . . . . 665
            K. De Brabanter and   
                     F. Cao and   
                 I. Gijbels and   
                     J. Opsomer   Local polynomial regression with
                                  correlated errors in random design and
                                  unknown correlation structure  . . . . . 681
                C. Rohrbeck and   
              D. A. Costain and   
                    A. Frigessi   Bayesian spatial monotonic multiple
                                  regression . . . . . . . . . . . . . . . 691
                   Sean Yiu and   
                          Li Su   Covariate association eliminating
                                  weights: a unified weighting framework
                                  for causal effect estimation . . . . . . 709
             I. Díaz and   
                O. Savenkov and   
                     K. Ballman   Targeted learning ensembles for optimal
                                  individualized treatment rules with
                                  time-to-event outcomes . . . . . . . . . 723
              T. S. Shively and   
                   S. G. Walker   On Bayes factors for the linear model    739
                  Quan Zhou and   
            Philip A. Ernst and   
           Kari Lock Morgan and   
            Donald B. Rubin and   
                     Anru Zhang   Sequential rerandomization . . . . . . . 745
                F. Blasques and   
              S. J. Koopman and   
                       A. Lucas   Amendments and Corrections:
                                  `Information-theoretic optimality of
                                  observation-driven time series models
                                  for continuous responses'  . . . . . . . 753