Biometrics

1999 - 2023

From The International Biometric Society
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Volume 78, issue 4, 2022

Spatial+: A novel approach to spatial confounding pp. 1279-1290

Emiko Dupont, Simon N. Wood and Nicole H. Augustin

Discussion on “Spatial+: A novel approach to spatial confounding” by Dupont, Wood, and Augustin pp. 1291-1294

Brian J. Reich, Shu Yang and Yawen Guan

Discussion on “Spatial+: A novel approach to spatial confounding” by Emiko Dupont, Simon N. Wood, and Nicole H. Augustin pp. 1295-1299

Isa Marques and Thomas Kneib

Discussion on “Spatial+: a novel approach to spatial confounding” by Emiko Dupont, Simon N. Wood, and Nicole H. Augustin pp. 1300-1304

Alexandra M. Schmidt

Discussion on “Spatial+: a novel approach to spatial confounding” by Emiko Dupont, Simon N. Wood, and Nicole H. Augustin pp. 1305-1308

Georgia Papadogeorgou

Rejoinder to the discussions of “Spatial+: A novel approach to spatial confounding” pp. 1309-1312

Emiko Dupont, Simon N. Wood and Nicole H. Augustin

WiSER: Robust and scalable estimation and inference of within‐subject variances from intensive longitudinal data pp. 1313-1327

Christopher A. German, Janet S. Sinsheimer, Jin Zhou and Hua Zhou

Varying‐coefficient regression analysis for pooled biomonitoring pp. 1328-1341

Dewei Wang, Xichen Mou and Yan Liu

Analysis of local sensitivity to nonignorability with missing outcomes and predictors pp. 1342-1352

Heng Chen and Daniel F. Heitjan

Group sequential testing for cluster randomized trials with time‐to‐event endpoint pp. 1353-1364

Jianghao Li and Sin‐Ho Jung

Integration of survival data from multiple studies pp. 1365-1376

Steffen Ventz, Rahul Mazumder and Lorenzo Trippa

On estimating optimal regime for treatment initiation time based on restricted mean residual lifetime pp. 1377-1389

Xin Chen, Rui Song, Jiajia Zhang, Swann Arp Adams, Liuquan Sun and Wenbin Lu

Nonparametric estimation of the survival distribution under covariate‐induced dependent truncation pp. 1390-1401

Bella Vakulenko‐Lagun, Jing Qian, Sy Han Chiou, Nancy Wang and Rebecca A. Betensky

Simultaneous variable selection in regression analysis of multivariate interval‐censored data pp. 1402-1413

Liuquan Sun, Shuwei Li, Lianming Wang, Xinyuan Song and Xuemei Sui

Binacox: automatic cut‐point detection in high‐dimensional Cox model with applications in genetics pp. 1414-1426

Simon Bussy, Mokhtar Z. Alaya, Anne‐Sophie Jannot and Agathe Guilloux

Multivariate Bayesian clustering using covariate‐informed components with application to boreal vegetation sensitivity pp. 1427-1440

Henry R. Scharf, Ann M. Raiho, Sierra Pugh, Carl A. Roland, David K. Swanson, Sarah E. Stehn and Mevin B. Hooten

Bayesian adaptive trial design for a continuous biomarker with possibly nonlinear or nonmonotone prognostic or predictive effects pp. 1441-1453

Yusha Liu, John A. Kairalla and Lindsay A. Renfro

Design‐based properties of the nearest neighbor spatial interpolator and its bootstrap mean squared error estimator pp. 1454-1463

Lorenzo Fattorini, Marzia Marcheselli, Caterina Pisani and Luca Pratelli

A semiparametric isotonic regression model for skewed distributions with application to DNA–RNA–protein analysis pp. 1464-1474

Chenguang Wang, Ao Yuan, Leslie Cope and Jing Qin

Pool adjacent violators algorithm–assisted learning with application on estimating optimal individualized treatment regimes pp. 1475-1488

Baojiang Chen, Ao Yuan and Jing Qin

Another look at regression analysis using ranked set samples with application to an osteoporosis study pp. 1489-1502

Nasrin Faraji, Mohammad Jafari Jozani and Nader Nematollahi

Estimating mean potential outcome under adaptive treatment length strategies in continuous time pp. 1503-1514

Hao Sun, Ashkan Ertefaie and Brent A. Johnson

Re‐calibrating pure risk integrating individual data from two‐phase studies with external summary statistics pp. 1515-1529

Jiayin Zheng, Yingye Zheng and Li Hsu

A linear noise approximation for stochastic epidemic models fit to partially observed incidence counts pp. 1530-1541

Jonathan Fintzi, Jon Wakefield and Vladimir N. Minin

Multidimensional molecular measurements–environment interaction analysis for disease outcomes pp. 1542-1554

Yaqing Xu, Mengyun Wu and Shuangge Ma

Bivariate small‐area estimation for binary and gaussian variables based on a conditionally specified model pp. 1555-1565

Hao Sun, Emily Berg and Zhengyuan Zhu

Extracting brain disease‐related connectome subgraphs by adaptive dense subgraph discovery pp. 1566-1578

Qiong Wu, Xiaoqi Huang, Adam J. Culbreth, James A. Waltz, L. Elliot Hong and Shuo Chen

Hierarchical cancer heterogeneity analysis based on histopathological imaging features pp. 1579-1591

Mingyang Ren, Qingzhao Zhang, Sanguo Zhang, Tingyan Zhong, Jian Huang and Shuangge Ma

Simultaneous feature selection and outlier detection with optimality guarantees pp. 1592-1603

Luca Insolia, Ana Kenney, Francesca Chiaromonte and Giovanni Felici

Reducing subspace models for large‐scale covariance regression pp. 1604-1613

Alexander M. Franks

Joint association and classification analysis of multi‐view data pp. 1614-1625

Yunfeng Zhang and Irina Gaynanova

Sufficient dimension reduction for populations with structured heterogeneity pp. 1626-1638

Jared D. Huling and Menggang Yu

Bridging preference‐based instrumental variable studies and cluster‐randomized encouragement experiments: Study design, noncompliance, and average cluster effect ratio pp. 1639-1650

Bo Zhang, Siyu Heng, Emily J. MacKay and Ting Ye

Flexible use of copula‐type model for dose‐finding in drug combination clinical trials pp. 1651-1661

Koichi Hashizume, Jun Tshuchida and Takashi Sozu

Sample size estimation for cancer randomized trials in the presence of heterogeneous populations pp. 1662-1673

Derek Dinart, Carine Bellera and Virginie Rondeau

Efficient odds ratio estimation under two‐phase sampling using error‐prone data from a multi‐national HIV research cohort pp. 1674-1685

Sarah C. Lotspeich, Bryan E. Shepherd, Gustavo G. C. Amorim, Pamela A. Shaw and Ran Tao

Joint modeling of zero‐inflated longitudinal proportions and time‐to‐event data with application to a gut microbiome study pp. 1686-1698

Jiyuan Hu, Chan Wang, Martin J. Blaser and Huilin Li

Weak‐instrument robust tests in two‐sample summary‐data Mendelian randomization pp. 1699-1713

Sheng Wang and Hyunseung Kang

Fundamentals of Causal Inference With R. Babette A. Brumback. 2021. New York: Chapman and Hall/CRC Press. 2021. https://doi.org/10.1201/9781003146674 pp. 1714-1715

An‐Shun Tai and Sheng‐Hsuan Lin

Assessing COVID‐19 and other pandemics and epidemics using computational modelling and data analysis Subhendu Kumar Pani, Sujata Dash, Wellington P. dos Santos, Syed Ahmad Chan Bukhari, and Francesco Flammini, Switzerland: Springer Nature Switzerland AG. 2022. https://doi.org/10.1007/978-3-030-79753-9 pp. 1715-1716

Yen‐Chen Anne Feng

Statistical issues in drug development, third edition. Stephen S. Senn New Jersey: John Wiley and Sons, Ltd., 2021. ISBN: 978‐1‐119‐23857‐7 pp. 1716-1717

Jason C. Hsu

Volume 78, issue 3, 2022

Estimating vaccine efficacy over time after a randomized study is unblinded pp. 825-838

Anastasios A. Tsiatis and Marie Davidian

Discussion on “Estimating vaccine efficacy over time after a randomized study is unblinded” by Anastasios A. Tsiatis and Marie Davidian pp. 839-840

M. Elizabeth Halloran

Discussion on “Estimating vaccine efficacy over time after a randomized study is unblinded” by Anastasios A. Tsiatis and Marie Davidian pp. 841-843

Holly Janes, Fei Gao and Alex Luedtke

Discussion on “estimating vaccine efficacy over time after a randomized study is unblinded” by Anastasios A. Tsiatis and Marie Davidian pp. 844-847

Dean Follmann

Rejoinder: Estimating vaccine efficacy over time after a randomized study is unblinded pp. 848-851

Anastasios A. Tsiatis and Marie Davidian

Multivariate survival analysis in big data: A divide‐and‐combine approach pp. 852-866

Wei Wang, Shou‐En Lu, Jerry Q. Cheng, Minge Xie and John B. Kostis

A consistent version of distance covariance for right‐censored survival data and its application in hypothesis testing pp. 867-879

Dominic Edelmann, Thomas Welchowski and Axel Benner

Semiparametric analysis of clustered interval‐censored survival data using soft Bayesian additive regression trees (SBART) pp. 880-893

Piyali Basak, Antonio Linero, Debajyoti Sinha and Stuart Lipsitz

Feature screening with large‐scale and high‐dimensional survival data pp. 894-907

Grace Y. Yi, Wenqing He and Raymond. J. Carroll

Regression with interval‐censored covariates: Application to cross‐sectional incidence estimation pp. 908-921

Doug Morrison, Oliver Laeyendecker and Ron Brookmeyer

Modeling semi‐competing risks data as a longitudinal bivariate process pp. 922-936

Daniel Nevo, Deborah Blacker, Eric B. Larson and Sebastien Haneuse

Semiparametric estimation of structural nested mean models with irregularly spaced longitudinal observations pp. 937-949

Shu Yang

A semiparametric model for between‐subject attributes: Applications to beta‐diversity of microbiome data pp. 950-962

J. Liu, Xinlian Zhang, T. Chen, T. Wu, T. Lin, L. Jiang, S. Lang, L. Liu, L. Natarajan, J.X. Tu, T. Kosciolek, J. Morton, T.T. Nguyen, B. Schnabl, R. Knight, C. Feng, Y. Zhong and X.M. Tu

Spatial correlation structures for detections of individuals in spatial capture–recapture models pp. 963-973

Ben C. Stevenson, Rachel M. Fewster and Koustubh Sharma

A transformation‐free linear regression for compositional outcomes and predictors pp. 974-987

Jacob Fiksel, Scott Zeger and Abhirup Datta

A Bayesian nonparametric approach for inferring drug combination effects on mental health in people with HIV pp. 988-1000

Wei Jin, Yang Ni, Leah H. Rubin, Amanda B. Spence and Yanxun Xu

Simulation‐based estimators of analytically intractable causal effects pp. 1001-1017

Antonio R. Linero

Testing for association in multiview network data pp. 1018-1030

Lucy L. Gao, Daniela Witten and Jacob Bien

Restricted function‐on‐function linear regression model pp. 1031-1044

Ruiyan Luo and Xin Qi

Addressing patient heterogeneity in disease predictive model development pp. 1045-1055

Xu Gao, Weining Shen, Jing Ning, Ziding Feng and Jianhua Hu

Optimization of sampling designs for pedigrees and association studies pp. 1056-1066

Olivier David, Arnaud Le Rouzic and Christine Dillmann

Tensor envelope mixture model for simultaneous clustering and multiway dimension reduction pp. 1067-1079

Kai Deng and Xin Zhang

Integrative analysis of multiple case‐control studies pp. 1080-1091

Han Zhang, Lu Deng, William Wheeler, Jing Qin and Kai Yu

Distributional independent component analysis for diverse neuroimaging modalities pp. 1092-1105

Ben Wu, Subhadip Pal, Jian Kang and Ying Guo

Discussion on “Distributional independent component analysis for diverse neuroimaging modalities” by Ben Wu, Subhadip Pal, Jian Kang, and Ying Guo pp. 1106-1108

Heather Shappell and Sean L. Simpson

Discussion on “distributional independent component analysis for diverse neuroimaging modalities” by Ben Wu, Subhadip Pal, Jian Kang, and Ying Guo pp. 1109-1112

Amanda F. Mejia

Discussion on “distributional independent component analysis for diverse neuroimaging modalities” by Ben Wu, Subhadip Pal, Jian Kang, and Ying Guo pp. 1113-1117

Kan Keeratimahat and Thomas E. Nichols

Discussion on “distributional independent component analysis for diverse neuroimaging modalities” by Ben Wu, Subhadip Pal, Jian Kang, and Ying Guo pp. 1118-1121

Beatrijs Moerkerke and Ruth Seurinck

Rejoinder to discussions of “distributional independent component analysis for diverse neuroimaging modalities” pp. 1122-1126

Ben Wu, Subhadip Pal, Jian Kang and Ying Guo

Inferring UK COVID‐19 fatal infection trajectories from daily mortality data: Were infections already in decline before the UK lockdowns? pp. 1127-1140

Simon N. Wood

Efficient detection and classification of epigenomic changes under multiple conditions pp. 1141-1154

Pedro L. Baldoni, Naim U. Rashid and Joseph G. Ibrahim

Utilizing stability criteria in choosing feature selection methods yields reproducible results in microbiome data pp. 1155-1167

Lingjing Jiang, Niina Haiminen, Anna‐Paola Carrieri, Shi Huang, Yoshiki Vázquez‐Baeza, Laxmi Parida, Ho‐Cheol Kim, Austin D. Swafford, Rob Knight and Loki Natarajan

Nonparametric estimation in an illness‐death model with component‐wise censoring pp. 1168-1180

Anne Eaton, Yifei Sun, James Neaton and Xianghua Luo

A multiview model for relative and absolute microbial abundances pp. 1181-1194

Brian D. Williamson, James P. Hughes and Amy D. Willis

Parameter inference for a stochastic kinetic model of expanded polyglutamine proteins pp. 1195-1208

H. F. Fisher, R. J. Boys, C. S. Gillespie, C. J. Proctor and A. Golightly

Bayesian analysis of coupled cellular and nuclear trajectories for cell migration pp. 1209-1220

Saptarshi Chakraborty, Tian Lan, Yiider Tseng and Samuel W.K. Wong

Stratified Cox models with time‐varying effects for national kidney transplant patients: A new blockwise steepest ascent method pp. 1221-1232

Kevin He, Ji Zhu, Jian Kang and Yi Li

Quantifying direct and indirect effect for longitudinal mediator and survival outcome using joint modeling approach pp. 1233-1243

Cheng Zheng and Lei Liu

Nonhomogeneous Markov chain for estimating the cumulative risk of multiple false positive screening tests pp. 1244-1256

Marzieh K Golmakani, Rebecca A Hubbard and Diana L Miglioretti

Sample size formula for general win ratio analysis pp. 1257-1268

Lu Mao, KyungMann Kim and Xinran Miao

Handbook of measurement error models, Edited by Grace Y. Yi, Aurore Delaigle, and Paul Gustafson, Boca Raton, FL: Chapman and Hall/CRC, 2021 pp. 1269-1270

Li‐Pang Chen

Book Review: Supervised machine learning for text analysis in R by Emil Hvitfeldt and Julia Silge pp. 1270-1272

Han‐Ming Wu

Multivariate data integration using R: Methods and applications with the mixOmics package. Kim‐Anh Lê Cao and Zoe Marie Welham, New York: CRC Press, 2021. https://doi.org/10.1201/9781003026860 pp. 1272-1273

Yuehua Cui

Behavior analysis with machine learning using R. Enrique Garcia Ceja. (2022). London; Boca Raton: CRC Press. DOI: 10.1201/9781003203469 pp. 1274-1274

Charlotte Wang

Volume 78, issue 2, 2022

Nonparametric estimation of Spearman's rank correlation with bivariate survival data pp. 421-434

Svetlana K. Eden, Chun Li and Bryan E. Shepherd

Joint model for survival and multivariate sparse functional data with application to a study of Alzheimer's Disease pp. 435-447

Cai Li, Luo Xiao and Sheng Luo

Semiparametric estimation of the nonmixture cure model with auxiliary survival information pp. 448-459

Bo Han, Ingrid Van Keilegom and Xiaoguang Wang

Cox regression model under dependent truncation pp. 460-473

Lior Rennert and Sharon X. Xie

Varying coefficient frailty models with applications in single molecular experiments pp. 474-486

Ying Hung, Li‐Hsiang Lin and C. F. Jeff Wu

A generalized robust allele‐based genetic association test pp. 487-498

Lin Zhang and Lei Sun

On polygenic risk scores for complex traits prediction pp. 499-511

Bingxin Zhao and Fei Zou

Information‐incorporated Gaussian graphical model for gene expression data pp. 512-523

Huangdi Yi, Qingzhao Zhang, Cunjie Lin and Shuangge Ma

Gaussian graphical model‐based heterogeneity analysis via penalized fusion pp. 524-535

Mingyang Ren, Sanguo Zhang, Qingzhao Zhang and Shuangge Ma

Bayesian spatial homogeneity pursuit for survival data with an application to the SEER respiratory cancer data pp. 536-547

Lijiang Geng and Guanyu Hu

Geostatistical modeling of positive‐definite matrices: An application to diffusion tensor imaging pp. 548-559

Zhou Lan, Brian J. Reich, Joseph Guinness, Dipankar Bandyopadhyay, Liangsuo Ma and F. Gerard Moeller

Spatial factor modeling: A Bayesian matrix‐normal approach for misaligned data pp. 560-573

Lu Zhang and Sudipto Banerjee

Simultaneous estimation of cluster number and feature sparsity in high‐dimensional cluster analysis pp. 574-585

Yujia Li, Xiangrui Zeng, Chien‐Wei Lin and George C. Tseng

A kernel regression model for panel count data with nonparametric covariate functions pp. 586-597

Yang Wang and Zhangsheng Yu

A model for analyzing clustered occurrence data pp. 598-611

Wen‐Han Hwang, Richard Huggins and Jakub Stoklosa

Sparse linear discriminant analysis for multiview structured data pp. 612-623

Sandra E. Safo, Eun Jeong Min and Lillian Haine

Causal interaction trees: Finding subgroups with heterogeneous treatment effects in observational data pp. 624-635

Jiabei Yang, Issa J. Dahabreh and Jon A. Steingrimsson

Recruitment prediction for multicenter clinical trials based on a hierarchical Poisson–gamma model: Asymptotic analysis and improved intervals pp. 636-648

Rachael Mountain and Chris Sherlock

Global sensitivity analysis of randomized trials with nonmonotone missing binary outcomes: Application to studies of substance use disorders pp. 649-659

Daniel O. Scharfstein, Jon Steingrimsson, Aidan McDermott, Chenguang Wang, Souvik Ray, Aimee Campbell, Edward Nunes and Abigail Matthews

Variance reduction in the inverse probability weighted estimators for the average treatment effect using the propensity score pp. 660-667

Jiangang Liao and Charles Rohde

Regression‐based negative control of homophily in dyadic peer effect analysis pp. 668-678

Lan Liu and Eric Tchetgen Tchetgen

Synthesizing external aggregated information in the presence of population heterogeneity: A penalized empirical likelihood approach pp. 679-690

Ying Sheng, Yifei Sun, Chiung‐Yu Huang and Mi‐Ok Kim

Determination and estimation of optimal quarantine duration for infectious diseases with application to data analysis of COVID‐19 pp. 691-700

Ruoyu Wang and Qihua Wang

Small‐sample inference for cluster‐based outcome‐dependent sampling schemes in resource‐limited settings: Investigating low birthweight in Rwanda pp. 701-715

Sara Sauer, Bethany Hedt‐Gauthier, Claudia Rivera‐Rodriguez and Sebastien Haneuse

Pursuing sources of heterogeneity in modeling clustered population pp. 716-729

Yan Li, Chun Yu, Yize Zhao, Weixin Yao, Robert H. Aseltine and Kun Chen

Bayesian data fusion: Probabilistic sensitivity analysis for unmeasured confounding using informative priors based on secondary data pp. 730-741

Leah Comment, Brent A. Coull, Corwin Zigler and Linda Valeri

A Bayesian spatial model for imaging genetics pp. 742-753

Yin Song, Shufei Ge, Jiguo Cao, Liangliang Wang and Farouk S. Nathoo

EMBRACE: An EM‐based bias reduction approach through Copas‐model estimation for quantifying the evidence of selective publishing in network meta‐analysis pp. 754-765

Arielle Marks‐Anglin, Chongliang Luo, Jin Piao, Mary Beth Connolly Gibbons, Christopher H. Schmid, Jing Ning and Yong Chen

Modeling dynamic correlation in zero‐inflated bivariate count data with applications to single‐cell RNA sequencing data pp. 766-776

Zhen Yang and Yen‐Yi Ho

Inverse probability weighted estimators of vaccine effects accommodating partial interference and censoring pp. 777-788

Sujatro Chakladar, Samuel Rosin, Michael G. Hudgens, M. Elizabeth Halloran, John D. Clemens, Mohammad Ali and Michael E. Emch

The Tukey trend test: Multiplicity adjustment using multiple marginal models pp. 789-797

Frank Schaarschmidt, Christian Ritz and Ludwig A. Hothorn

Identifying regions of inhomogeneities in spatial processes via an M‐RA and mixture priors pp. 798-811

Marco H. Benedetti, Veronica J. Berrocal and Naveen N. Narisetty

Correction to "A penalized framework for distributed lag non‐linear models" by Antonio Gasparrini, Fabian Scheipl, Ben Armstrong, and Michael G. Kenward; 73, 938–948, September 2017 pp. 812-812

Antonio Gasparrini, Fabian Scheipl, Ben Armstrong and Michael G. Kenward

Bayesian compendium, Marcel van Oijen, Cham: Springer Nature Switzerland AG. 2020. xiv, 204 p pp. 813-815

Sayan Dasgupta

Using R for biostatistics. T. W. MacFarland and J. M. Yates. Springer International Publishing. 2021. ISBN: 978‐3‐030‐62403‐3; 978‐3‐030‐62404‐0 (eBook) pp. 815-816

Shu‐Hui Wen

Predictive analytics: Parametric models for regression and classification using R Ajit C. Tamhane, John Wiley & Sons. 2020. ISBN: 978‐1‐118‐94889‐7; 978‐1‐118‐94890‐3 (ebook) pp. 816-817

Yu‐Jyun Huang

Cure models: Methods, applications, and implementation Yingwei Peng Binbing Yu Boca Raton, FL: Chapman and Hall/CRC, 2021. pp. 268 pp. 817-817

Satrajit Roychoudhury

Handbook of meta‐analysis Christopher H. Schmid, Theo Stijnen, and Ian R. White Boca Raton, FL: Chapman and Hall/CRC. 2021. ISBN 9781138106406, pp. 592 pp. 819-820

Li‐Pang Chen

Volume 78, issue 1, 2022

Robust methods to correct for measurement error when evaluating a surrogate marker pp. 9-23

Layla Parast, Tanya P. Garcia, Ross L. Prentice and Raymond J. Carroll

Two robust tools for inference about causal effects with invalid instruments pp. 24-34

Hyunseung Kang, Youjin Lee, T. Tony Cai and Dylan S. Small

Identifying individual predictive factors for treatment efficacy pp. 35-45

Ariel Alonso, Wim Van der Elst, Lizet Sanchez, Patricia Luaces and Geert Molenberghs

Nonlinear mediation analysis with high‐dimensional mediators whose causal structure is unknown pp. 46-59

Wen Wei Loh, Beatrijs Moerkerke, Tom Loeys and Stijn Vansteelandt

Bayesian group sequential enrichment designs based on adaptive regression of response and survival time on baseline biomarkers pp. 60-71

Yeonhee Park, Suyu Liu, Peter F. Thall and Ying Yuan

A spatial Bayesian latent factor model for image‐on‐image regression pp. 72-84

Cui Guo, Jian Kang and Timothy D. Johnson

Assuming independence in spatial latent variable models: Consequences and implications of misspecification pp. 85-99

Francis K.C. Hui, Nicole A. Hill and A.H. Welsh

Causal inference in high dimensions: A marriage between Bayesian modeling and good frequentist properties pp. 100-114

Joseph Antonelli, Georgia Papadogeorgou and Francesca Dominici

Joint calibrated estimation of inverse probability of treatment and censoring weights for marginal structural models pp. 115-127

Sean Yiu and Li Su

Obtaining optimal cutoff values for tree classifiers using multiple biomarkers pp. 128-140

Yuxin Zhu and Mei‐Cheng Wang

Two‐stage penalized regression screening to detect biomarker–treatment interactions in randomized clinical trials pp. 141-150

Jixiong Wang, Ashish Patel, James M.S. Wason and Paul J. Newcombe

Simultaneous variable selection and estimation for joint models of longitudinal and failure time data with interval censoring pp. 151-164

Fengting Yi, Niansheng Tang and Jianguo Sun

Analysis of clustered interval‐censored data using a class of semiparametric partly linear frailty transformation models pp. 165-178

Chun Yin Lee, Kin Yau Wong, K. F. Lam and Jinfeng Xu

Weight calibration to improve efficiency for estimating pure risks from the additive hazards model with the nested case‐control design pp. 179-191

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

Restricted mean survival time as a function of restriction time pp. 192-201

Yingchao Zhong and Douglas E. Schaubel

New multivariate tests for assessing covariate balance in matched observational studies pp. 202-213

Hao Chen and Dylan S. Small

Statistical inference for association studies using electronic health records: handling both selection bias and outcome misclassification pp. 214-226

Lauren J. Beesley and Bhramar Mukherjee

Semiparametric imputation using conditional Gaussian mixture models under item nonresponse pp. 227-237

Danhyang Lee and Jae Kwang Kim

Simultaneous confidence intervals for ranks with application to ranking institutions pp. 238-247

Diaa Al Mohamad, Jelle J. Goeman and Erik W. van Zwet

Density estimation for circular data observed with errors pp. 248-260

Marco Di Marzio, Stefania Fensore, Agnese Panzera and Charles C. Taylor

Speeding up Monte Carlo simulations for the adaptive sum of powered score test with importance sampling pp. 261-273

Yangqing Deng, Yinqiu He, Gongjun Xu and Wei Pan

A latent capture history model for digital aerial surveys pp. 274-285

David L. Borchers, Peter Nightingale, Ben C. Stevenson and Rachel M. Fewster

Modelling group movement with behaviour switching in continuous time pp. 286-299

Mu Niu, Fay Frost, Jordan E. Milner, Anna Skarin and Paul G. Blackwell

Bayesian dose regimen assessment in early phase oncology incorporating pharmacokinetics and pharmacodynamics pp. 300-312

Emma Gerard, Sarah Zohar, Hoai‐Thu Thai, Christelle Lorenzato, Marie‐Karelle Riviere and Moreno Ursino

A nonparametric Bayesian model for estimating spectral densities of resting‐state EEG twin data pp. 313-323

Brian Hart, Michele Guindani, Stephen Malone and Mark Fiecas

Simultaneous spatial smoothing and outlier detection using penalized regression, with application to childhood obesity surveillance from electronic health records pp. 324-336

Young‐Geun Choi, Lawrence P. Hanrahan, Derek Norton and Ying‐Qi Zhao

Estimating the optimal individualized treatment rule from a cost‐effectiveness perspective pp. 337-351

Yizhe Xu, Tom H. Greene, Adam P. Bress, Brian C. Sauer, Brandon K. Bellows, Yue Zhang, William S. Weintraub, Andrew E. Moran and Jincheng Shen

A closed max‐t test for multiple comparisons of areas under the ROC curve pp. 352-363

Paul Blanche, Jean‐François Dartigues and Jérémie Riou

Generalized multi‐SNP mediation intersection–union test pp. 364-375

Wujuan Zhong, Toni Darville, Xiaojing Zheng, Jason Fine and Yun Li

Random effects models of lymph node metastases in breast cancer: quantifying the roles of covariates and screening using a continuous growth model pp. 376-387

Gabriel Isheden, Kamila Czene and Keith Humphreys

Power and sample size for observational studies of point exposure effects pp. 388-398

Bonnie E. Shook‐Sa and Michael G. Hudgens

Biased estimation with shared parameter models in the presence of competing dropout mechanisms pp. 399-406

Edward F. Vonesh and Tom Greene

Rejoinder to “Biased Estimation With Shared Parameter Models in the Presence of Competing Dropout Mechanisms” pp. 407-408

Christos Thomadakis, Loukia Meligkotsidou, Nikos Pantazis and Giota Touloumi

Modelling spatial and spatial‐temporal data: A Bayesian approach Robert P. Haining and Guangquan Li Boca Raton, FL: Chapman and Hall/CRC, 2020. pp. 608 pp. 409-410

Howard H. Chang

Statistical inference via data science: A modern dive into R and the Tidyverse, Chester Ismay and Albert Y. Kim Boca Raton, FL: Chapman and Hall/CRC, 2019. pp. 460 pp. 410-412

Zachary Fusfeld

Bayesian analysis of infectious diseases ‐ COVID‐19 and beyond, by Lyle Broemeling Lyle D. Broemeling Boca Raton, FL: Chapman and Hall/CRC, 2021. pp. 330 pp. 412-413

Marie V. Ozanne

Meta‐analysis: Methods for health and experimental studies: Shahjahan Khan Springer Nature Singapore Pte. Ltd. 2020. pp. 293 pp. 414-414

Tugba Akkaya‐Hocagil

Omic association studies with R and bioconductor: Juan R. Gonzalez and Alejandro Caceres Boca Raton, FL: Chapman and Hall/CRC, 2020. pp. 390 pp. 415-416

Amber W. Wang