Biometrics

1999 - 2023

From The International Biometric Society
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Volume 75, issue 4, 2019

Detection of differentially expressed genes in discrete single‐cell RNA sequencing data using a hurdle model with correlated random effects pp. 1051-1062

Michael Sekula, Jeremy Gaskins and Susmita Datta

Integrative analysis of genetical genomics data incorporating network structures pp. 1063-1075

Bin Gao, Xu Liu, Hongzhe Li and Yuehua Cui

Pleiotropy informed adaptive association test of multiple traits using genome‐wide association study summary data pp. 1076-1085

Maria Masotti, Bin Guo and Baolin Wu

Multiclass linear discriminant analysis with ultrahigh‐dimensional features pp. 1086-1097

Yanming Li, Hyokyoung G. Hong and Yi Li

Scalable estimation and regularization for the logistic normal multinomial model pp. 1098-1108

Jingru Zhang and Wei Lin

Common reducing subspace model and network alternation analysis pp. 1109-1120

Wenjing Wang, Xin Zhang and Lexin Li

Structural learning and integrative decomposition of multi‐view data pp. 1121-1132

Irina Gaynanova and Gen Li

Simulation‐selection‐extrapolation: Estimation in high‐dimensional errors‐in‐variables models pp. 1133-1144

Linh Nghiem and Cornelis Potgieter

Robust spatial extent inference with a semiparametric bootstrap joint inference procedure pp. 1145-1155

Simon N. Vandekar, Theodore D. Satterthwaite, Cedric H. Xia, Azeez Adebimpe, Kosha Ruparel, Ruben C. Gur, Raquel E. Gur and Russell T. Shinohara

Copula‐based semiparametric models for spatiotemporal data pp. 1156-1167

Yanlin Tang, Huixia J. Wang, Ying Sun and Amanda S. Hering

Semiparametric frailty models for zero‐inflated event count data in the presence of informative dropout pp. 1168-1178

Guoqing Diao, Donglin Zeng, Kuolung Hu and Joseph G. Ibrahim

Penalized local polynomial regression for spatial data pp. 1179-1190

Wu Wang and Ying Sun

Variance component tests of multivariate mediation effects under composite null hypotheses pp. 1191-1204

Yen‐Tsung Huang

Model selection for G‐estimation of dynamic treatment regimes pp. 1205-1215

Michael P. Wallace, Erica E. M. Moodie and David A. Stephens

Multicategory individualized treatment regime using outcome weighted learning pp. 1216-1227

Xinyang Huang, Yair Goldberg and Jin Xu

Constructing a confidence interval for the fraction who benefit from treatment, using randomized trial data pp. 1228-1239

Emily J. Huang, Ethan X. Fang, Daniel F. Hanley and Michael Rosenblum

Leveraging nonlinear dynamic models to predict progression of neuroimaging biomarkers pp. 1240-1252

Ming Sun, Donglin Zeng and Yuanjia Wang

Using a surrogate marker for early testing of a treatment effect pp. 1253-1263

Layla Parast, Tianxi Cai and Lu Tian

Dynamic regression with recurrent events pp. 1264-1275

J. E. Soh and Yijian Huang

On null hypotheses in survival analysis pp. 1276-1287

Mats J. Stensrud, Kjetil Røysland and Pål C. Ryalen

Fast Bayesian inference in large Gaussian graphical models pp. 1288-1298

Gwenaël G. R. Leday and Sylvia Richardson

Incorporating prior information with fused sparse group lasso: Application to prediction of clinical measures from neuroimages pp. 1299-1309

Joanne C. Beer, Howard J. Aizenstein, Stewart J. Anderson and Robert T. Krafty

Autologistic network model on binary data for disease progression study pp. 1310-1320

Yei Eun Shin, Huiyan Sang, Dawei Liu, Toby A. Ferguson and Peter X. K. Song

Integer‐valued functional data analysis for measles forecasting pp. 1321-1333

Daniel R. Kowal

Truncated Simes tests pp. 1334-1344

John Lawrence

Open population maximum likelihood spatial capture‐recapture pp. 1345-1355

Richard Glennie, David L. Borchers, Matthew Murchie, Bart J. Harmsen and Rebecca J. Foster

Quantifying personal exposure to air pollution from smartphone‐based location data pp. 1356-1366

Francesco Finazzi and Lucia Paci

Assessing alignment between functional markers and ordinal outcomes based on broad sense agreement pp. 1367-1379

Jeong Hoon Jang, Limin Peng and Amita K. Manatunga

Directional penalties for optimal matching in observational studies pp. 1380-1390

Ruoqi Yu and Paul R. Rosenbaum

Analysis of covariance in randomized trials: More precision and valid confidence intervals, without model assumptions pp. 1391-1400

Bingkai Wang, Elizabeth L. Ogburn and Michael Rosenblum

Improved detection of epigenomic marks with mixed‐effects hidden Markov models pp. 1401-1413

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

Bayesian inference for stochastic processes, Lyle D Broemeling, Boca Raton: CRC Press pp. 1414-1415

Gabriel Isheden

Spatio‐temporal statistics with R, Christopher K. Wikle, Andrew Zammit‐Mangion, Noel Cressie, Boca Raton, FL: CRC Press, 2019 pp. 1414-1414

Adam Peterson

Textual data science with R, Mónica Bécue‐Bertaut, Boca Raton: CRC Press pp. 1415-1416

Brisa N. Sánchez

The statistical analysis of multivariate failure time data: A marginal modeling approach, Ross L. Prentice, Shanshan Zhao, Boca Raton, FL: CRC Press pp. 1416-1417

D. Y. Lin

Volume 75, issue 3, 2019

Fast likelihood‐based inference for latent count models using the saddlepoint approximation pp. 723-733

W. Zhang, M. V. Bravington and R. M. Fewster

An iterative penalized least squares approach to sparse canonical correlation analysis pp. 734-744

Qing Mai and Xin Zhang

High dimensional mediation analysis with latent variables pp. 745-756

Andriy Derkach, Ruth M. Pfeiffer, Ting‐Huei Chen and Joshua N. Sampson

A hybrid omnibus test for generalized semiparametric single‐index models with high‐dimensional covariate sets pp. 757-767

Yangyi Xu, Inyoung Kim and Raymond J. Carroll

Causal inference when counterfactuals depend on the proportion of all subjects exposed pp. 768-777

Caleb H. Miles, Maya Petersen and Mark J. van der Laan

Causal inference with interfering units for cluster and population level treatment allocation programs pp. 778-787

Georgia Papadogeorgou, Fabrizia Mealli and Corwin M. Zigler

Granger mediation analysis of multiple time series with an application to functional magnetic resonance imaging pp. 788-798

Yi Zhao and Xi Luo

Improved methods for estimating abundance and related demographic parameters from mark‐resight data pp. 799-809

Brett T. McClintock, Gary C. White and Moira A. Pryde

Accounting for phenology in the analysis of animal movement pp. 810-820

Henry R. Scharf, Mevin B. Hooten, Ryan R. Wilson, George M. Durner and Todd C. Atwood

A cluster‐adjusted rank‐based test for a clinical trial concerning multiple endpoints with application to dietary intervention assessment pp. 821-830

Wei Zhang, Aiyi Liu, Larry L. Tang and Qizhai Li

Bayesian modeling of air pollution extremes using nested multivariate max‐stable processes pp. 831-841

Sabrina Vettori, Raphaël Huser and Marc G. Genton

Inference for case‐control studies with incident and prevalent cases pp. 842-852

Marlena Maziarz, Yukun Liu, Jing Qin and Ruth M. Pfeiffer

A varying‐coefficient generalized odds rate model with time‐varying exposure: An application to fitness and cardiovascular disease mortality pp. 853-863

Jie Zhou, Jiajia Zhang, Alexander C. Mclain, Wenbin Lu, Xuemei Sui and James W. Hardin

A statistical method for joint estimation of cis‐eQTLs and parent‐of‐origin effects under family trio design pp. 864-874

Vasyl Zhabotynsky, Kaoru Inoue, Terry Magnuson, J. Mauro Calabrese and Wei Sun

Prediction analysis for microbiome sequencing data pp. 875-884

Tao Wang, Can Yang and Hongyu Zhao

Familywise error control in multi‐armed response‐adaptive trials pp. 885-894

D. S. Robertson and J. M. S. Wason

Threshold selection for covariance estimation pp. 895-905

Yumou Qiu and Janaka S. S. Liyanage

Confidence bands for multiplicative hazards models: Flexible resampling approaches pp. 906-916

Dennis Dobler, Markus Pauly and ThomasH. Scheike

A sensitivity analysis approach for informative dropout using shared parameter models pp. 917-926

Li Su, Qiuju Li, Jessica K. Barrett and Michael J. Daniels

Measurement error correction and sensitivity analysis in longitudinal dietary intervention studies using an external validation study pp. 927-937

Juned Siddique, Michael J. Daniels, Raymond J. Carroll, Trivellore E. Raghunathan, Elizabeth A. Stuart and Laurence S. Freedman

Marginal analysis of ordinal clustered longitudinal data with informative cluster size pp. 938-949

Aya A. Mitani, Elizabeth K. Kaye and Kerrie P. Nelson

Empirical‐likelihood‐based criteria for model selection on marginal analysis of longitudinal data with dropout missingness pp. 950-965

Chixiang Chen, Biyi Shen, Lijun Zhang, Yuan Xue and Ming Wang

Approximate Bayesian inference for discretely observed continuous‐time multi‐state models pp. 966-977

Andrea Tancredi

A Bayesian hierarchical model estimating CACE in meta‐analysis of randomized clinical trials with noncompliance pp. 978-987

Jincheng Zhou, James S. Hodges, M. Fareed K. Suri and Haitao Chu

A Bayesian random partition model for sequential refinement and coagulation pp. 988-999

Carlos Tadeu Pagani Zanini, Peter Müller, Yuan Ji and Fernando A. Quintana

Efficient methods for signal detection from correlated adverse events in clinical trials pp. 1000-1008

Guoqing Diao, Guanghan F. Liu, Donglin Zeng, William Wang, Xianming Tan, Joseph F. Heyse and Joseph G. Ibrahim

A two‐stage experimental design for dilution assays pp. 1009-1016

Jake M. Ferguson, Tanya A. Miura and Craig R. Miller

Cross‐sectional human immunodeficiency virus incidence estimation accounting for heterogeneity across communities pp. 1017-1028

Yuejia Xu, Oliver Laeyendecker and Rui Wang

Double‐wavelet transform for multisubject task‐induced functional magnetic resonance imaging data pp. 1029-1040

Minchun Zhou, David Badre and Hakmook Kang

Chain event graphs. Rodrigo A. Collazo, Christiane Goergen, Jim Q. Smith. Boca Raton: CRC Press pp. 1041-1041

Donna P. Ankerst

Absolute Risk. Ruth M. Pfeiffer and Mitchell H. Gail. Boca Raton: CRC Press pp. 1042-1042

Thomas A. Gerds

Bayesian regression modeling with INLA. Xiaofeng Wang, Yu R. Yue and Julian J. Faraway. Boca Raton: CRC Press pp. 1042-1044

Loni P. Tabb

Statistical approaches in oncology clinical development: Current paradigm and methodological advancement. Satrajit Roychoudhury and Soumi Lahiri. Boca Raton: Chapman and Hall/CRC pp. 1044-1045

Kelley M. Kidwell

Statistical analysis with measurement error or misclassification: Strategy, method and application. Grace Y. Yi. New York: Springer‐Verlag pp. 1045-1046

Li‐Pang Chen

Volume 75, issue 2, 2019

A hybrid phase I‐II/III clinical trial design allowing dose re‐optimization in phase III pp. 371-381

Andrew G. Chapple and Peter F. Thall

Discussion of “A Hybrid Phase I‐II/III Clinical Trial Design Allowing Dose Re‐Optimization in Phase III” by Andrew G. Chapple and Peter F. Thall pp. 382-384

Eric S. Leifer and Nancy L. Geller

Discussion of “A hybrid phase I‐II/III clinical trial design allowing dose re‐optimization in phase III” by Andrew G. Chapple and Peter F. Thall pp. 385-388

Tianjian Zhou and Yuan Ji

Rejoinder to “A hybrid phase I‐II/III clinical trial design allowing dose reoptimization in phase III” pp. 389-391

Andrew G. Chapple and Peter F. Thall

Model confidence bounds for variable selection pp. 392-403

Yang Li, Yuetian Luo, Davide Ferrari, Xiaonan Hu and Yichen Qin

Discussion on “Model Confidence Bounds for Variable Selection” by Yang Li, Yuetian Luo, Davide Ferrari, Xiaonan Hu, and Yichen Qin pp. 404-406

Gerda Claeskens and Maarten Jansen

Discussion on “Model confidence bounds for variable selection” by Yang Li, Yuetian Luo, Davide Ferrari, Xiaonan Hu, and Yichen Qin pp. 407-410

Hannes Leeb, Benedikt Pötscher and Danijel Kivaranovic

Rejoinder to Discussions on: Model confidence bounds for variable selection pp. 411-413

Yang Li, Yuetian Luo, Davide Ferrari, Xiaonan Hu and Yichen Qin

A modified partial likelihood score method for Cox regression with covariate error under the internal validation design pp. 414-427

David M. Zucker, Xin Zhou, Xiaomei Liao, Yi Li and Donna Spiegelman

Estimations of the joint distribution of failure time and failure type with dependent truncation pp. 428-438

Yu‐Jen Cheng, Mei‐Cheng Wang and Chang‐Yu Tsai

Dependence modeling for recurrent event times subject to right‐censoring with D‐vine copulas pp. 439-451

Nicole Barthel, Candida Geerdens, Claudia Czado and Paul Janssen

The single‐index/Cox mixture cure model pp. 452-462

Maïlis Amico, Ingrid Van Keilegom and Catherine Legrand

Distribution‐free estimation of local growth rates around interval censored anchoring events pp. 463-474

Chenghao Chu, Ying Zhang and Wanzhu Tu

Exact inference for integrated population modelling pp. 475-484

P. Besbeas and B.J.T. Morgan

Exact inference on the random‐effects model for meta‐analyses with few studies pp. 485-493

Haben Michael, Suzanne Thornton, Minge Xie and Lu Tian

Nonparametric group sequential methods for evaluating survival benefit from multiple short‐term follow‐up windows pp. 494-505

Meng Xia, Susan Murray and Nabihah Tayob

Causal inference accounting for unobserved confounding after outcome regression and doubly robust estimation pp. 506-515

Minna Genbäck and Xavier de Luna

Instrumental variable based estimation under the semiparametric accelerated failure time model pp. 516-527

Jared D. Huling, Menggang Yu and A. James O'Malley

Semiparametric Bayesian latent variable regression for skewed multivariate data pp. 528-538

Apurva Bhingare, Debajyoti Sinha, Debdeep Pati, Dipankar Bandyopadhyay and Stuart R. Lipsitz

A Bayesian semiparametric approach to correlated ROC surfaces with stochastic order constraints pp. 539-550

Zhen Chen and Beom Seuk Hwang

Drawing inferences for high‐dimensional linear models: A selection‐assisted partial regression and smoothing approach pp. 551-561

Zhe Fei, Ji Zhu, Moulinath Banerjee and Yi Li

A smoothing‐based goodness‐of‐fit test of covariance for functional data pp. 562-571

Stephanie T. Chen, Luo Xiao and Ana‐Maria Staicu

Optimal design of multiple‐objective Lot Quality Assurance Sampling (LQAS) plans pp. 572-581

Belmiro P.M. Duarte and Weng Kee Wong

Linked matrix factorization pp. 582-592

Michael J. O'Connell and Eric F. Lock

Integrative multi‐view regression: Bridging group‐sparse and low‐rank models pp. 593-602

Gen Li, Xiaokang Liu and Kun Chen

Convex clustering analysis for histogram‐valued data pp. 603-612

Cheolwoo Park, Hosik Choi, Chris Delcher, Yanning Wang and Young Joo Yoon

Log‐ratio lasso: Scalable, sparse estimation for log‐ratio models pp. 613-624

Stephen Bates and Robert Tibshirani

Composite kernel machine regression based on likelihood ratio test for joint testing of genetic and gene–environment interaction effect pp. 625-637

Ni Zhao, Haoyu Zhang, Jennifer J. Clark, Arnab Maity and Michael C. Wu

A non‐randomized procedure for large‐scale heterogeneous multiple discrete testing based on randomized tests pp. 638-649

Xiaoyu Dai, Nan Lin, Daofeng Li and Ting Wang

A robust removing unwanted variation–testing procedure via γ‐divergence pp. 650-662

Hung Hung

A Bayesian hidden Markov model for detecting differentially methylated regions pp. 663-673

Tieming Ji

Bagging and deep learning in optimal individualized treatment rules pp. 674-684

Xinlei Mi, Fei Zou and Ruoqing Zhu

Generalizing causal inferences from individuals in randomized trials to all trial‐eligible individuals pp. 685-694

Issa J. Dahabreh, Sarah E. Robertson, Eric J. Tchetgen, Elizabeth A. Stuart and Miguel A. Hernán

Causal comparative effectiveness analysis of dynamic continuous‐time treatment initiation rules with sparsely measured outcomes and death pp. 695-707

Liangyuan Hu and Joseph W. Hogan

Causal inference in statistics: A primer. Judea Pearl, Maria Glymour, and Nicholas Jewell, John Wiley & Sons, Ltd., Chichester, UK pp. 708-709

Joseph W. Hogan

Quantitative methods for HIV/AIDS research Cliburn Chan, Michael G. Hudgens, Shein‐Chung Chow, CRC Press pp. 710-711

W. Scott Comulada

Biostatistics for clinical and public health researchMelody S. Goodman (Ed.), New York: Routledge pp. 712-712

Nuha Mahmood

Errors, Blunders, and Lies: How to Tell the Difference. David S. Salsburg, Boca Raton: Chapman & Hall/ASA‐CRC Series pp. 713-714

Yi Xu and David Banks

Hidden Markov Models for Time Series: An Introduction Using R. Walter Zucchini, Iain L. McDonald, and Roland Langrock, Boca Raton, CRC Press pp. 715-716

Toby Patterson

State Space Methods for Time Series Analysis: Theory, Applications And Software. Jose Casals, Alfredo Garica‐Hiernaux, Miguel Jerez, Sonia Sotoca, and A. Alexandre Trindade, Boca Raton: CRC Press pp. 717-717

Nalini Ravishanker

Volume 75, issue 1, 2019

On assessing binary regression models based on ungrouped data pp. 5-12

Chunling Lu and Yuhong Yang

Adaptive elastic net for group testing pp. 13-23

Karl B. Gregory, Dewei Wang and Christopher S. McMahan

Removal models accounting for temporary emigration pp. 24-35

Ming Zhou, Rachel S. McCrea, Eleni Matechou, Diana J. Cole and Richard A. Griffiths

Joint skeleton estimation of multiple directed acyclic graphs for heterogeneous population pp. 36-47

Jianyu Liu, Wei Sun and Yufeng Liu

Registration for exponential family functional data pp. 48-57

Julia Wrobel, Vadim Zipunnikov, Jennifer Schrack and Jeff Goldsmith

Longitudinal and time‐to‐drop‐out joint models can lead to seriously biased estimates when the drop‐out mechanism is at random pp. 58-68

Christos Thomadakis, Loukia Meligkotsidou, Nikos Pantazis and Giota Touloumi

Regularized Latent Class Model for Joint Analysis of High‐Dimensional Longitudinal Biomarkers and a Time‐to‐Event Outcome pp. 69-77

Jiehuan Sun, Jose D. Herazo‐Maya, Philip L. Molyneaux, Toby M. Maher, Naftali Kaminski and Hongyu Zhao

Semi‐supervised validation of multiple surrogate outcomes with application to electronic medical records phenotyping pp. 78-89

Chuan Hong, Katherine P. Liao and Tianxi Cai

Multiple robust estimation of marginal structural mean models for unconstrained outcomes pp. 90-99

Lucia Babino, Andrea Rotnitzky and James Robins

On doubly robust estimation of the hazard difference pp. 100-109

Oliver Dukes, Torben Martinussen, Eric J. Tchetgen Tchetgen and Stijn Vansteelandt

Instrumental variable estimation in semi‐parametric additive hazards models pp. 110-120

Matthias Brueckner, Andrew Titman and Thomas Jaki

Semiparametric regression analysis of length‐biased interval‐censored data pp. 121-132

Fei Gao and Kwun Chuen Gary Chan

A useful design utilizing the information fraction in a group sequential clinical trial with censored survival data pp. 133-143

Chih‐Yuan Hsu, Chen‐Hsin Chen, Ken‐Ning Hsu and Ya‐Hung Lu

Information content of cluster–period cells in stepped wedge trials pp. 144-152

Jessica Kasza and Andrew B. Forbes

Personalized schedules for surveillance of low‐risk prostate cancer patients pp. 153-162

Anirudh Tomer, Daan Nieboer, Monique J. Roobol, Ewout W. Steyerberg and Dimitris Rizopoulos

Marginal screening of 2 × 2 tables in large‐scale case‐control studies pp. 163-171

Ian W. McKeague and Min Qian

Bayesian inference of hub nodes across multiple networks pp. 172-182

Junghi Kim, Kim‐Anh Do, Min Jin Ha and Christine B. Peterson

Bayesian negative binomial mixture regression models for the analysis of sequence count and methylation data pp. 183-192

Qiwei Li, Alberto Cassese, Michele Guindani and Marina Vannucci

Bayesian additive adaptive basis tensor product models for modeling high dimensional surfaces: an application to high‐throughput toxicity testing pp. 193-201

Matthew W. Wheeler

A novel bayesian multiple testing approach to deregulated miRNA discovery harnessing positional clustering pp. 202-209

Noirrit Kiran Chandra, Richa Singh and Sourabh Bhattacharya

A hidden markov model for identifying differentially methylated sites in bisulfite sequencing data pp. 210-221

Farhad Shokoohi, David A. Stephens, Guillaume Bourque, Tomi Pastinen, Celia M. T. Greenwood and Aurélie Labbe

Logistic regression augmented community detection for network data with application in identifying autism‐related gene pathways pp. 222-234

Yunpeng Zhao, Qing Pan and Chengan Du

Generalized linear models with linear constraints for microbiome compositional data pp. 235-244

Jiarui Lu, Pixu Shi and Hongzhe Li

Sufficient dimension reduction via random‐partitions for the large‐p‐small‐n problem pp. 245-255

Hung Hung and Su‐Yun Huang

Diagonal likelihood ratio test for equality of mean vectors in high‐dimensional data pp. 256-267

Zongliang Hu, Tiejun Tong and Marc G. Genton

Automated feature selection of predictors in electronic medical records data pp. 268-277

Jessica Gronsbell, Jessica Minnier, Sheng Yu, Katherine Liao and Tianxi Cai

Informative group testing for multiplex assays pp. 278-288

Christopher R. Bilder, Joshua M. Tebbs and Christopher S. McMahan

Double robust estimation for multiple unordered treatments and clustered observations: Evaluating drug‐eluting coronary artery stents pp. 289-296

Sherri Rose and Sharon‐Lise Normand

Flexible parametric approach to classical measurement error variance estimation without auxiliary data pp. 297-307

Aurélie Bertrand, Ingrid Van Keilegom and Catherine Legrand

Power and sample size for dose‐finding studies with survival endpoints under model uncertainty pp. 308-314

Qiqi Deng, Xiaofei Bai, Dacheng Liu, Dooti Roy, Zhiliang Ying and Dan‐Yu Lin

A Bayesian multi‐dimensional couple‐based latent risk model with an application to infertility pp. 315-325

Beom Seuk Hwang, Zhen Chen, Germaine M. Buck Louis and Paul S. Albert

Cluster capture‐recapture to account for identification uncertainty on aerial surveys of animal populations pp. 326-336

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

Multi‐study factor analysis pp. 337-346

Roberta De Vito, Ruggero Bellio, Lorenzo Trippa and Giovanni Parmigiani

On the alternative hypotheses for the win ratio pp. 347-351

Lu Mao

Rejoinder to “on the alternative hypotheses for the win ratio” pp. 352-354

Xiaodong Luo, Hong Tian, Surya Mohanty and Wei Yann Tsai

Book Review pp. 356-356

Yaakov Malinovsky

Book Review pp. 357-357

Stephen Bäuerle

Book Review pp. 358-360

A. James O’Malley

Book Review pp. 361-361

Bill Shannon