Biometrics

1999 - 2023

From The International Biometric Society
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Volume 76, issue 4, 2020

A unified evaluation of differential vaccine efficacy pp. 1053-1063

Erin E. Gabriel, Michael C. Sachs, Dean A. Follmann and Therese M‐L. Andersson

Power analysis for cluster randomized trials with multiple binary co‐primary endpoints pp. 1064-1074

Dateng Li, Jing Cao and Song Zhang

On using electronic health records to improve optimal treatment rules in randomized trials pp. 1075-1086

Peng Wu, Donglin Zeng, Haoda Fu and Yuanjia Wang

Weight calibration to improve the efficiency of pure risk estimates from case‐control samples nested in a cohort pp. 1087-1097

Yei Eun Shin, Ruth M. Pfeiffer, Barry I. Graubard and Mitchell H. Gail

Constructing confidence intervals for selected parameters pp. 1098-1108

Haibing Zhao and Xinping Cui

Partial least squares for functional joint models with applications to the Alzheimer's disease neuroimaging initiative study pp. 1109-1119

Yue Wang, Joseph G. Ibrahim and Hongtu Zhu

Bayesian modeling of multiple structural connectivity networks during the progression of Alzheimer's disease pp. 1120-1132

Christine B. Peterson, Nathan Osborne, Francesco C. Stingo, Pierrick Bourgeat, James D. Doecke and Marina Vannucci

A Bayesian nonparametric testing procedure for paired samples pp. 1133-1146

Luz Adriana Pereira, Daniel Taylor‐Rodríguez and Luis Gutiérrez

Nonparametric estimation of distributions and diagnostic accuracy based on group‐tested results with differential misclassification pp. 1147-1156

Wei Zhang, Aiyi Liu, Qizhai Li and Paul S. Albert

On the empirical choice of the time window for restricted mean survival time pp. 1157-1166

Lu Tian, Hua Jin, Hajime Uno, Ying Lu, Bo Huang, Keaven M. Anderson and Wei Lj

Highly efficient stepped wedge designs for clusters of unequal size pp. 1167-1176

John N. S. Matthews

ROC‐guided survival trees and ensembles pp. 1177-1189

Yifei Sun, Sy Han Chiou and Mei‐Cheng Wang

Doubly robust tests of exposure effects under high‐dimensional confounding pp. 1190-1200

Oliver Dukes, Vahe Avagyan and Stijn Vansteelandt

Censored quantile regression model with time‐varying covariates under length‐biased sampling pp. 1201-1215

Zexi Cai and Tony Sit

On symmetric semiparametric two‐sample problem pp. 1216-1228

Moming Li, Guoqing Diao and Jing Qin

Semiparametric modelling and estimation of covariate‐adjusted dependence between bivariate recurrent events pp. 1229-1239

Jing Ning, Chunyan Cai, Yong Chen, Xuelin Huang and Mei‐Cheng Wang

Testing small study effects in multivariate meta‐analysis pp. 1240-1250

Chuan Hong, Georgia Salanti, Sally C. Morton, Richard D. Riley, Haitao Chu, Stephen E. Kimmel and Yong Chen

Discussion on “Testing small study effects in multivariate meta‐analysis” by Chuan Hong, Georgia Salanti, Sally Morton, Richard Riley, Haitao Chu, Stephen E. Kimmel and Yong Chen pp. 1251-1254

Hans C. van Houwelingen

Discussion on “Testing small study effects in multivariate meta‐analysis” by Chuan Hong, Georgia Salanti, Sally Morton, Richard Riley, Haitao Chu, Stephen E. Kimmel, and Yong Chen pp. 1255-1259

Hisashi Noma

Discussion on ‘Testing small study effects in multivariate meta‐analysis’ by Chuan Hong, Georgia Salanti, Sally Morton, Richard Riley, Haitao Chu, Stephen E Kimmel and Yong Chen pp. 1260-1261

James R. Carpenter, Gerta Rücker and Guido Schwarzer

Operating characteristics of the rank‐based inverse normal transformation for quantitative trait analysis in genome‐wide association studies pp. 1262-1272

Zachary R. McCaw, Jacqueline M. Lane, Richa Saxena, Susan Redline and Xihong Lin

Nonnegative decomposition of functional count data pp. 1273-1284

Daniel Backenroth, Russell T. Shinohara, Jennifer A. Schrack and Jeff Goldsmith

Objective prior distributions for Jolly‐Seber models of zero‐augmented data pp. 1285-1296

Robert M. Dorazio

A Bayesian multi‐risks survival (MRS) model in the presence of double censorings pp. 1297-1309

Mário de Castro, Ming‐Hui Chen, Yuanye Zhang and Anthony V. D'Amico

Estimating individualized treatment rules with risk constraint pp. 1310-1318

Xinyang Huang and Jin Xu

Relative efficiency of using summary versus individual data in random‐effects meta‐analysis pp. 1319-1329

Ding‐Geng Chen, Dungang Liu, Xiaoyi Min and Heping Zhang

Variable selection in joint frailty models of recurrent and terminal events pp. 1330-1339

Dongxiao Han, Xiaogang Su, Liuquan Sun, Zhou Zhang and Lei Liu

Using sufficient direction factor model to analyze latent activities associated with breast cancer survival pp. 1340-1350

Seungchul Baek, Yen‐Yi Ho and Yanyuan Ma

Relapse or reinfection: Classification of malaria infection using transition likelihoods pp. 1351-1363

Feng‐Chang Lin, Quefeng Li and Jessica T. Lin

PA‐CRM: A continuous reassessment method for pediatric phase I oncology trials with concurrent adult trials pp. 1364-1373

Yimei Li and Ying Yuan

Simple outlier detection for a multi‐environmental field trial pp. 1374-1382

Emi Tanaka

CACE and meta‐analysis (Letter to the Editor) pp. 1383-1384

Stuart G. Baker

Rejoinder to “CACE and meta‐analysis (letter to the editor)” by Stuart Baker pp. 1385-1389

Jincheng Zhou, James S. Hodges and Haitao Chu

Time Series Clustering and Classification Elizabeth Ann Maharaj, Pierpaolo D'Urso, and Jorge Caiado. Boca Raton FL: CRC pp. 1390-1391

Prabhanjan Narayanachar Tattar

Reproducible Research in R and R Studio, 3rd edition. By Christopher Gandrud pp. 1391-1391

Lucy D'Agostino McGowan

Artificial intelligence for drug development, precision medicine, and healthcare Mark Chang Boca Raton, FL: Chapman and Hall/CRC, 2020 pp. 1392-1394

Li‐Pang Chen

Volume 76, issue 3, 2020

Horseshoe‐based Bayesian nonparametric estimation of effective population size trajectories pp. 677-690

James R. Faulkner, Andrew F. Magee, Beth Shapiro and Vladimir N. Minin

Discussion on “Horseshoe‐based Bayesian nonparametric estimation of effective population size trajectories” by James R. Faulkner, Andrew F. Magee, Beth Shapiro, and Vladimir N. Minin pp. 691-694

Lorenzo Cappello, Swarnadip Ghosh and Julia A. Palacios

Rejoinder for discussion on “Horseshoe‐based Bayesian nonparametric estimation of effective population size trajectories” pp. 695-699

James R. Faulkner, Andrew F. Magee, Beth Shapiro and Vladimir N. Minin

Bayesian shrinkage estimation of high dimensional causal mediation effects in omics studies pp. 700-710

Yanyi Song, Xiang Zhou, Min Zhang, Wei Zhao, Yongmei Liu, Sharon L. R. Kardia, Ana V. Diez Roux, Belinda L. Needham, Jennifer A. Smith and Bhramar Mukherjee

Bayesian compartmental models and associated reproductive numbers for an infection with multiple transmission modes pp. 711-721

Marie V. Ozanne, Grant D. Brown, Angela J. Toepp, Breanna M. Scorza, Jacob J. Oleson, Mary E. Wilson and Christine A. Petersen

One‐step targeted maximum likelihood estimation for time‐to‐event outcomes pp. 722-733

Weixin Cai and Mark J. van der Laan

Censored linear regression in the presence or absence of auxiliary survival information pp. 734-745

Ying Sheng, Yifei Sun, Detian Deng and Chiung‐Yu Huang

Optimal approximate conversions of odds ratios and hazard ratios to risk ratios pp. 746-752

Tyler J. VanderWeele

A bivariate joint frailty model with mixture framework for survival analysis of recurrent events with dependent censoring and cure fraction pp. 753-766

Richard Tawiah, Geoffrey J. McLachlan and Shu Kay Ng

Estimating average treatment effects with a double‐index propensity score pp. 767-777

David Cheng, Abhishek Chakrabortty, Ashwin N. Ananthakrishnan and Tianxi Cai

Estimating individualized treatment regimes from crossover designs pp. 778-788

Crystal T. Nguyen, Daniel J. Luckett, Anna R. Kahkoska, Grace E. Shearrer, Donna Spruijt‐Metz, Jaimie N. Davis and Michael R. Kosorok

Multivariate hierarchical frameworks for modeling delayed reporting in count data pp. 789-798

Oliver Stoner and Theo Economou

G‐estimation of structural nested restricted mean time lost models to estimate effects of time‐varying treatments on a failure time outcome pp. 799-810

Yasuhiro Hagiwara, Tomohiro Shinozaki and Yutaka Matsuyama

A fast score test for generalized mixture models pp. 811-820

Rui Duan, Yang Ning, Shuang Wang, Bruce G. Lindsay, Raymond J. Carroll and Yong Chen

A test of homogeneity of distributions when observations are subject to measurement errors pp. 821-833

DongHyuk Lee, Soumendra N. Lahiri and Samiran Sinha

Estimating overdispersion in sparse multinomial data pp. 834-842

Farzana Afroz, Matt Parry and David Fletcher

Statistical inference for net benefit measures in biomarker validation studies pp. 843-852

Tracey L. Marsh, Holly Janes and Margaret S. Pepe

Learning‐based biomarker‐assisted rules for optimized clinical benefit under a risk constraint pp. 853-862

Yanqing Wang, Ying‐Qi Zhao and Yingye Zheng

Order‐restricted inference for clustered ROC data with application to fingerprint matching accuracy pp. 863-873

Wei Zhang, Larry L. Tang, Qizhai Li, Aiyi Liu and Mei‐Ling Ting Lee

Discovering structure in multiple outcomes models for tests of childhood neurodevelopment pp. 874-885

Amy LaLonde, Tanzy Love, Sally W. Thurston and Philip W. Davidson

Dynamic modeling of multivariate dimensions and their temporal relationships using latent processes: Application to Alzheimer's disease pp. 886-899

Bachirou O. Taddé, Hélène Jacqmin‐Gadda, Jean‐François Dartigues, Daniel Commenges and Cécile Proust‐Lima

A temporally stratified extension of space‐for‐time Cormack–Jolly–Seber for migratory animals pp. 900-912

Dalton J. Hance, Russell W. Perry, John M. Plumb and Adam C. Pope

From mixed effects modeling to spike and slab variable selection: A Bayesian regression model for group testing data pp. 913-923

Chase N. Joyner, Christopher S. McMahan, Joshua M. Tebbs and Christopher R. Bilder

A multilevel mixed effects varying coefficient model with multilevel predictors and random effects for modeling hospitalization risk in patients on dialysis pp. 924-938

Yihao Li, Danh V. Nguyen, Esra Kürüm, Connie M. Rhee, Yanjun Chen, Kamyar Kalantar‐Zadeh and Damla Şentürk

Sample size and power for the weighted log‐rank test and Kaplan‐Meier based tests with allowance for nonproportional hazards pp. 939-950

Godwin Yung and Yi Liu

Power calculation for cross‐sectional stepped wedge cluster randomized trials with variable cluster sizes pp. 951-962

Linda J Harrison, Tom Chen and Rui Wang

Corrections for measurement error due to delayed onset of illness for case‐crossover designs pp. 963-972

Brent A. Coull, Seokho Lee, Glen McGee, Justin Manjourides, Murray A. Mittleman and Gregory A. Wellenius

Fair regression for health care spending pp. 973-982

Anna Zink and Sherri Rose

Joint analysis of single‐cell and bulk tissue sequencing data to infer intratumor heterogeneity pp. 983-994

Wei Sun, Chong Jin, Jonathan A. Gelfond, Ming‐Hui Chen and Joseph G. Ibrahim

Identifying disease‐associated biomarker network features through conditional graphical model pp. 995-1006

Shanghong Xie, Xiang Li, Peter McColgan, Rachael I. Scahill, Donglin Zeng and Yuanjia Wang

Estimating treatment importance in multidrug‐resistant tuberculosis using Targeted Learning: An observational individual patient data network meta‐analysis pp. 1007-1016

Guanbo Wang, Mireille E. Schnitzer, Dick Menzies, Piret Viiklepp, Timothy H. Holtz and Andrea Benedetti

Optimal sampling design and the accuracy of occupancy models pp. 1017-1027

Henry T. Reich

On continuous‐time capture‐recapture in closed populations pp. 1028-1033

Wei Zhang and Simon J. Bonner

Rejoinder to “On continuous‐time capture‐recapture in closed populations” pp. 1034-1035

Matthew R. Schofield and Richard J. Barker

Robustness of ANCOVA in randomized trials with unequal randomization pp. 1036-1038

Jonathan W. Bartlett

Rejoinder to “Robustness of ANCOVA in randomized trials with unequal randomization” by Jonathan W. Bartlett pp. 1039-1039

Bingkai Wang, Elizabeth L. Ogburn and Michael Rosenblum

Comment on “Wang et al. (2005), Robust estimating functions and bias correction for longitudinal data analysis” pp. 1040-1042

Nicola Lunardon and Giovanna Menardi

Rejoinder to “Comment on ‘Wang et al. (2005), Robust estimating functions and bias correction for longitudinal data analysis’ by Nicola Lunardon and Giovanna Menardi” pp. 1043-1044

You‐Gan Wang, Xu Lin and Min Zhu

Dynamic Treatment Regimes: Statistical Methods for Precision Medicine Anastasios A. Tsiatis Marie Davidian Shannon T. Holloway Eric B. Laber Boca Raton, FL: Chapman and Hall/CRC, 2019 pp. 1045-1046

Li‐Pang Chen

Statistical remedies for medical researchers. Peter Thall Cham, Switzerland: Springer Nature Switzerland AG, 2020, Hard cover. pp. 291. US$ 113.63 pp. 1047-1048

Peter Müller

Volume 76, issue 2, 2020

Approximation of bias and mean‐squared error in two‐sample Mendelian randomization analyses pp. 369-379

Lu Deng, Han Zhang, Lei Song and Kai Yu

On Mendelian randomization analysis of case‐control study pp. 380-391

Han Zhang, Jing Qin, Sonja I. Berndt, Demetrius Albanes, Lu Deng, Mitchell H. Gail and Kai Yu

A spatial open‐population capture‐recapture model pp. 392-402

Murray G. Efford and Matthew R. Schofield

A heterogeneity measure for cluster identification with application to disease mapping pp. 403-413

Pei‐Sheng Lin and Jun Zhu

An adaptive independence test for microbiome community data pp. 414-426

Yaru Song, Hongyu Zhao and Tao Wang

Simultaneous confidence corridors for mean functions in functional data analysis of imaging data pp. 427-437

Yueying Wang, Guannan Wang, Li Wang and R. Todd Ogden

Inference in MCMC step selection models pp. 438-447

Théo Michelot, Paul G. Blackwell, Simon Chamaillé‐Jammes and Jason Matthiopoulos

Penalized survival models for the analysis of alternating recurrent event data pp. 448-459

Lili Wang, Kevin He and Douglas E. Schaubel

Cox regression with survival‐time‐dependent missing covariate values pp. 460-471

Yanyao Yi, Ting Ye, Menggang Yu and Jun Shao

Adjusting for time‐varying confounders in survival analysis using structural nested cumulative survival time models pp. 472-483

Shaun Seaman, Oliver Dukes, Ruth Keogh and Stijn Vansteelandt

Inverse probability weighting methods for Cox regression with right‐truncated data pp. 484-495

Bella Vakulenko‐Lagun, Micha Mandel and Rebecca A. Betensky

Sequential adaptive variables and subject selection for GEE methods pp. 496-507

Zimu Chen, Zhanfeng Wang and Yuan‐chin Ivan Chang

Data reduction prior to inference: Are there consequences of comparing groups using a t‐test based on principal component scores? pp. 508-517

Edward J. Bedrick

Equivalence of regression curves sharing common parameters pp. 518-529

Kathrin Möllenhoff, Frank Bretz and Holger Dette

Bias correction of bounded location error in binary data pp. 530-539

Nelson B. Walker, Trevor J. Hefley and Daniel P. Walsh

Multinomial N‐mixture models for removal sampling pp. 540-548

Linda M. Haines

Assessing the goodness of fit of logistic regression models in large samples: A modification of the Hosmer‐Lemeshow test pp. 549-560

Giovanni Nattino, Michael L. Pennell and Stanley Lemeshow

Discussion on “Assessing the goodness of fit of logistic regression models in large samples: A modification of the Hosmer‐Lemeshow test” by Giovanni Nattino, Michael L. Pennell, and Stanley Lemeshow pp. 561-563

Galit Shmueli

Discussion on “Assessing the goodness of fit of logistic regression models in large samples: A modification of the Hosmer‐Lemeshow test” by Giovanni Nattino, Michael L. Pennell, and Stanley Lemeshow pp. 564-568

Ivy Liu and Daniel Fernández

Discussion of “Assessing the goodness‐of‐fit of logistic regression models in large samples: A modification of the Hosmer‐Lemeshow test,” by Giovanni Nattino, Michael L. Pennell, and Stanley Lemeshow pp. 569-571

Li‐Ching Chen and Jiun‐Yi Wang

Discussion on “Assessing the goodness of fit of logistic regression models in large samples: A modification of the Hosmer‐Lemeshow test” by Giovanni Nattino, Michael L. Pennell, and Stanley Lemeshow pp. 572-574

Dandan Liu and Bryan E. Shepherd

Rejoinder to “Assessing the goodness of fit of logistic regression models in large samples: A modification of the Hosmer‐Lemeshow test” pp. 575-577

Giovanni Nattino, Michael L. Pennell and Stanley Lemeshow

Predictively consistent prior effective sample sizes pp. 578-587

Beat Neuenschwander, Sebastian Weber, Heinz Schmidli and Anthony O'Hagan

Discussion on “Predictively Consistent Prior Effective Sample Sizes” by Beat Neuenschwander, Sebastian Weber, Heinz Schmidli, and Anthony O'Hagan pp. 588-590

Alexander Kaizer and John Kittelson

Discussion on “Predictively consistent prior effective sample sizes,” by Beat Neuenschwander, Sebastian Weber, Heinz Schmidli, and Anthony O'Hagan pp. 591-594

Atanu Biswas and Jean‐François Angers

Discussion on “Predictively consistent prior effective sample sizes,” by Beat Neuenschwander, Sebastian Weber, Heinz Schmidli, and Anthony O'Hagan pp. 595-598

Yeonhee Park and Ruitao Lin

Discussion on “Predictively consistent prior effective sample sizes,” by Beat Neuenschwander, Sebastian Weber, Heinz Schmidli, and Anthony O'Hagan pp. 599-601

Gary L. Rosner and Peter Müller

Rejoinder to “Predictively consistent prior effective sample sizes,” by Beat Neuenschwander, Sebastian Weber, Heinz Schmidli, and Anthony O'Hagan pp. 602-605

Beat Neuenschwander, Sebastian Weber, Heinz Schmidli and Anthony O'Hagan

Analysis of secondary phenotypes in multigroup association studies pp. 606-618

Fan Zhou, Haibo Zhou, Tengfei Li and Hongtu Zhu

Gene‐based association analysis for bivariate time‐to‐event data through functional regression with copula models pp. 619-629

Yue Wei, Yi Liu, Tao Sun, Wei Chen and Ying Ding

Bayesian design of biosimilars clinical programs involving multiple therapeutic indications pp. 630-642

Matthew A. Psioda, Kuolung Hu, Yang Zhang, Jean Pan and Joseph G. Ibrahim

Designing precision medicine trials to yield a greater population impact pp. 643-653

Ying‐Qi Zhao and Michael L. LeBlanc

The profile inter‐unit reliability pp. 654-663

Kevin He, Claudia Dahlerus, Lu Xia, Yanming Li and John D. Kalbfleisch

Sharp bounds on the relative treatment effect for ordinal outcomes pp. 664-669

Jiannan Lu, Yunshu Zhang and Peng Ding

Bayesian statistical methods, Brian J. Reich Sujit K. Ghosh, Boca Raton, FL: Chapman and Hall/CRC, 2019, Hard cover. pp. 288. US$ 79.96 pp. 671-672

Becky Tang and Amy H. Herring

Volume 76, issue 1, 2020

Large scale maximum average power multiple inference on time‐course count data with application to RNA‐seq analysis pp. 9-22

Meng Cao, Wen Zhou, F. Jay Breidt and Graham Peers

Structured gene‐environment interaction analysis pp. 23-35

Mengyun Wu, Qingzhao Zhang and Shuangge Ma

Testing independence between two random sets for the analysis of colocalization in bioimaging pp. 36-46

Frédéric Lavancier, Thierry Pécot, Liu Zengzhen and Charles Kervrann

Building generalized linear models with ultrahigh dimensional features: A sequentially conditional approach pp. 47-60

Qi Zheng, Hyokyoung G. Hong and Yi Li

Integrative factorization of bidimensionally linked matrices pp. 61-74

Jun Young Park and Eric F. Lock

Estimation of covariance matrix of multivariate longitudinal data using modified Choleksky and hypersphere decompositions pp. 75-86

Keunbaik Lee, Hyunsoon Cho, Min‐Sun Kwak and Eun Jin Jang

A Bayesian approach to joint modeling of matrix‐valued imaging data and treatment outcome with applications to depression studies pp. 87-97

Bei Jiang, Eva Petkova, Thaddeus Tarpey and R. Todd Ogden

Global identifiability of latent class models with applications to diagnostic test accuracy studies: A Gröbner basis approach pp. 98-108

Rui Duan, Ming Cao, Yang Ning, Mingfu Zhu, Bin Zhang, Aidan McDermott, Haitao Chu, Xiaohua Zhou, Jason H. Moore, Joseph G. Ibrahim, Daniel O. Scharfstein and Yong Chen

Robust inference on the average treatment effect using the outcome highly adaptive lasso pp. 109-118

Cheng Ju, David Benkeser and Mark J. van der Laan

Robust inference for the stepped wedge design pp. 119-130

James P. Hughes, Patrick J. Heagerty, Fan Xia and Yuqi Ren

Semiparametric mixed‐scale models using shared Bayesian forests pp. 131-144

Antonio R. Linero, Debajyoti Sinha and Stuart R. Lipsitz

Data‐adaptive longitudinal model selection in causal inference with collaborative targeted minimum loss‐based estimation pp. 145-157

Mireille E. Schnitzer, Joel Sango, Steve Ferreira Guerra and Mark J. van der Laan

A geostatistical framework for combining spatially referenced disease prevalence data from multiple diagnostics pp. 158-170

Benjamin Amoah, Peter J. Diggle and Emanuele Giorgi

An online updating approach for testing the proportional hazards assumption with streams of survival data pp. 171-182

Yishu Xue, HaiYing Wang, Jun Yan and Elizabeth D. Schifano

Adaptive treatment allocation for comparative clinical studies with recurrent events data pp. 183-196

Jingya Gao, Pei‐Fang Su, Feifang Hu and Siu Hung Cheung

A response‐adaptive randomization procedure for multi‐armed clinical trials with normally distributed outcomes pp. 197-209

S. Faye Williamson and Sofía S. Villar

Novel two‐phase sampling designs for studying binary outcomes pp. 210-223

Le Wang, Matthew L. Williams, Yong Chen and Jinbo Chen

Design and analysis of bridging studies with prior probabilities on the null and alternative hypotheses pp. 224-234

Donglin Zeng, Zhiying Pan and D. Y. Lin

Randomization inference with general interference and censoring pp. 235-245

Wen Wei Loh, Michael G. Hudgens, John D. Clemens, Mohammad Ali and Michael E. Emch

A functional generalized F‐test for signal detection with applications to event‐related potentials significance analysis pp. 246-256

David Causeur, Ching‐Fan Sheu, Emeline Perthame and Flavia Rufini

Distance‐based analysis of variance for brain connectivity pp. 257-269

Russell T. Shinohara, Haochang Shou, Marco Carone, Robert Schultz, Birkan Tunc, Drew Parker, Melissa Lynne Martin and Ragini Verma

Improving estimation efficiency for regression with MNAR covariates pp. 270-280

Menglu Che, Peisong Han and Jerald F. Lawless

A general framework for modeling population abundance data pp. 281-292

Panagiotis Besbeas and Byron J. T. Morgan

Testing the heritability and parent‐of‐origin hypotheses for ages at onset of psoriatic arthritis under biased sampling pp. 293-303

Lajmi Lakhal‐Chaieb, Richard J. Cook and Yujie Zhong

An adaptive trial design to optimize dose‐schedule regimes with delayed outcomes pp. 304-315

Ruitao Lin, Peter F. Thall and Ying Yuan

Bayesian data integration and variable selection for pan‐cancer survival prediction using protein expression data pp. 316-325

Arnab Kumar Maity, Anirban Bhattacharya, Bani K. Mallick and Veerabhadran Baladandayuthapani

Quantification of prior impact in terms of effective current sample size pp. 326-336

Manuel Wiesenfarth and Silvia Calderazzo

Permutation inference methods for multivariate meta‐analysis pp. 337-347

Hisashi Noma, Kengo Nagashima and Toshi A. Furukawa

Biclustering via sparse clustering pp. 348-358

Erika S. Helgeson, Qian Liu, Guanhua Chen, Michael R. Kosorok and Eric Bair

Multistate models for the analysis of life history data, Richard J. Cook, Jerald F. Lawless, Boca Raton, FL: Chapman and Hall/CRC, 2020. Hard cover. pp. 441. CDN$ 121.00 pp. 359-360

Li‐Pang Chen

Deep learning with R, François Chollet, Joseph J. Allaire, Shelter Island, NY: Manning pp. 361-362

Sehee Kim

Spatial data analysis in ecology and agriculture using R, Richard E. Plant, Boca Raton, FL: CRC Press, 2019 pp. 362-362

Marie‐Josée Fortin

Nonparametric models for longitudinal data: With implementation in R, Colin O. Wu, Xin Tian, Boca Raton, FL: CRC Press pp. 363-364

Mohammed Chowdhury