Biometrics

1999 - 2023

From The International Biometric Society
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Volume 74, issue 4, 2018

Model assisted sensitivity analyses for hidden bias with binary outcomes pp. 1141-1149

Giovanni Nattino and Bo Lu

Sensitivity analysis and power for instrumental variable studies pp. 1150-1160

Xuran Wang, Yang Jiang, Nancy R. Zhang and Dylan S. Small

A powerful approach to the study of moderate effect modification in observational studies pp. 1161-1170

Kwonsang Lee, Dylan S. Small and Paul R. Rosenbaum

Doubly robust matching estimators for high dimensional confounding adjustment pp. 1171-1179

Joseph Antonelli, Matthew Cefalu, Nathan Palmer and Denis Agniel

Optimal two‐stage dynamic treatment regimes from a classification perspective with censored survival data pp. 1180-1192

Rebecca Hager, Anastasios A. Tsiatis and Marie Davidian

Bayesian nonparametric generative models for causal inference with missing at random covariates pp. 1193-1202

Jason Roy, Kirsten J. Lum, Bret Zeldow, Jordan D. Dworkin, Vincent Lo Re and Michael J. Daniels

Nonparametric estimation of transition probabilities for a general progressive multi‐state model under cross‐sectional sampling pp. 1203-1212

Jacobo de Uña‐Álvarez and Micha Mandel

Semiparametric regression analysis of interval‐censored data with informative dropout pp. 1213-1222

Fei Gao, Donglin Zeng and Dan‐Yu Lin

Pseudo and conditional score approach to joint analysis of current count and current status data pp. 1223-1231

Chi‐Chung Wen and Yi‐Hau Chen

Using survival information in truncation by death problems without the monotonicity assumption pp. 1232-1239

Fan Yang and Peng Ding

A partially linear proportional hazards model for current status data pp. 1240-1249

Minggen Lu and Christopher S. McMahan

Analysis of multiple survival events in generalized case‐cohort designs pp. 1250-1260

Soyoung Kim, Donglin Zeng and Jianwen Cai

Threshold regression to accommodate a censored covariate pp. 1261-1270

Jing Qian, Sy Han Chiou, Jacqueline E. Maye, Folefac Atem, Keith A. Johnson and Rebecca A. Betensky

Estimation of the optimal surrogate based on a randomized trial pp. 1271-1281

Brenda L. Price, Peter B. Gilbert and Mark J. van der Laan

New robust statistical procedures for the polytomous logistic regression models pp. 1282-1291

Elena Castilla, Abhik Ghosh, Nirian Martin and Leandro Pardo

A robust approach to sample size calculation in cancer immunotherapy trials with delayed treatment effect pp. 1292-1300

Ting Ye and Menggang Yu

Exponential Family Functional data analysis via a low‐rank model pp. 1301-1310

Gen Li, Jianhua Z. Huang and Haipeng Shen

Order selection and sparsity in latent variable models via the ordered factor LASSO pp. 1311-1319

Francis K. C. Hui, Emi Tanaka and David I. Warton

Bayesian optimal interval design with multiple toxicity constraints pp. 1320-1330

Ruitao Lin

Convex mixture regression for quantitative risk assessment pp. 1331-1340

Antonio Canale, Daniele Durante and David B. Dunson

Identifying disease‐associated copy number variations by a doubly penalized regression model pp. 1341-1350

Yichen Cheng, James Y. Dai, Xiaoyu Wang and Charles Kooperberg

Detection of multiple perturbations in multi‐omics biological networks pp. 1351-1361

Paula J. Griffin, Yuqing Zhang, William Evan Johnson and Eric D. Kolaczyk

Sparse generalized eigenvalue problem with application to canonical correlation analysis for integrative analysis of methylation and gene expression data pp. 1362-1371

Sandra E. Safo, Jeongyoun Ahn, Yongho Jeon and Sungkyu Jung

Scalable Bayesian variable selection for structured high‐dimensional data pp. 1372-1382

Changgee Chang, Suprateek Kundu and Qi Long

Time‐dynamic profiling with application to hospital readmission among patients on dialysis pp. 1383-1394

Jason P. Estes, Danh V. Nguyen, Yanjun Chen, Lorien S. Dalrymple, Connie M. Rhee, Kamyar Kalantar‐Zadeh and Damla Şentürk

Discussion on “Time‐dynamic profiling with application to hospital readmission among patients on dialysis,” by Jason P. Estes, Danh V. Nguyen, Yanjun Chen, Lorien S. Dalrymple, Connie M. Rhee, Kamyar Kalantar‐Zadeh, and Damla Senturk pp. 1395-1397

Sebastien Haneuse, José Zubizarreta and Sharon‐Lise T. Normand

Discussion on “Time‐dynamic profiling with application to hospital readmission among patients on dialysis,” by Jason P. Estes, Danh V. Nguyen, Yanjun Chen, Lorien S. Dalrymple, Connie M. Rhee, Kamyar Kalantar‐Zadeh, and Damla Senturk pp. 1398-1400

Els Goetghebeur

Discussion on “Time‐dynamic profiling with application to hospital readmission among patients on dialysis,” by Jason P. Estes, Danh V. Nguyen, Yanjun Chen, Lorien S. Dalrymple, Connie M. Rhee, Kamyar Kalantar‐Zadeh, and Damla Senturk pp. 1401-1403

John D. Kalbfleisch and Kevin He

Rejoinder: Time‐dynamic profiling with application to hospital readmission among patients on dialysis pp. 1404-1406

Jason P. Estes, Danh V. Nguyen, Yanjun Chen, Lorien S. Dalrymple, Connie M. Rhee, Kamyar Kalantar‐Zadeh and Damla Şentürk

Estimating the causal effect of treatment regimes for organ transplantation pp. 1407-1416

Jeffrey A. Boatman and David M. Vock

Varying‐coefficient semiparametric model averaging prediction pp. 1417-1426

Jialiang Li, Xiaochao Xia, Weng Kee Wong and David Nott

Semi‐parametric methods of handling missing data in mortal cohorts under non‐ignorable missingness pp. 1427-1437

Lan Wen and Shaun R. Seaman

Multiple imputation of missing data in nested case‐control and case‐cohort studies pp. 1438-1449

Ruth H. Keogh, Shaun R. Seaman, Jonathan W. Bartlett and Angela M. Wood

Sample size determination for GEE analyses of stepped wedge cluster randomized trials pp. 1450-1458

Fan Li, Elizabeth L. Turner and John S. Preisser

Power and sample size calculation incorporating misspecifications of the variance function in comparative clinical trials with over‐dispersed count data pp. 1459-1467

Masataka Igeta, Kunihiko Takahashi and Shigeyuki Matsui

On the analysis of discrete time competing risks data pp. 1468-1481

Minjung Lee, Eric J. Feuer and Jason P. Fine

Mean residual life regression with functional principal component analysis on longitudinal data for dynamic prediction pp. 1482-1491

Xiao Lin, Tao Lu, Fangrong Yan, Ruosha Li and Xuelin Huang

A boxplot for circular data pp. 1492-1501

Davide Buttarazzi, Giuseppe Pandolfo and Giovanni C. Porzio

Physical activity classification with dynamic discriminative methods pp. 1502-1511

Evan L. Ray, Jeffer E. Sasaki, Patty S. Freedson and John Staudenmayer

An asymptotic approximation to the N‐mixture model for the estimation of disease prevalence pp. 1512-1518

Ben Brintz, Claudio Fuentes and Lisa Madsen

Pawel Cichosz. Data Mining Algorithms explained using R. Hoboken, Wiley pp. 1519-1520

Sumanta Basu

Jure Leskovec, Anand Rajaraman, and Jeffrey D. Ullman. Mining of Massive Datasets. Cambridge, Cambridge University Press pp. 1520-1521

Lothar Richter

Rory Allen. Statistics and Experimental Design for Psychologists. Singapore, World Scientific Publishing Co Pte Ltd pp. 1521-1523

Geoff Bird

Wiechung Joe Shih and Joseph Aisner. Statistical Design and Analysis of Clinical Trials: Principles and Methods. Boca Raton, CRC Press pp. 1523-1523

Hui Gu

Christophe Giraud. Introduction to High‐Dimensional Statistics. Boca Raton, CRC Press pp. 1524-1525

Katharina Parry and Matthieu Vignes

Vance Berger. Randomization, Masking, and Allocation Concealment. CRC Press pp. 1525-1526

Yiyao Chen

Volume 74, issue 3, 2018

Quantifying publication bias in meta‐analysis pp. 785-794

Lifeng Lin and Haitao Chu

Discussion on Quantifying publication bias in meta‐analysis pp. 795-796

Dan Jackson

Discussion of “quantifying publication bias in meta‐analysis” by Lin et al pp. 797-799

Christopher H. Schmid

Discussion on “Quantifying Publication Bias in Meta‐Analysis” by Lin and Chu pp. 800-800

Nancy L. Geller

Rejoinder to “quantifying publication bias in meta‐analysis” pp. 801-802

Lifeng Lin and Haitao Chu

A regression framework for assessing covariate effects on the reproducibility of high‐throughput experiments pp. 803-813

Qunhua Li and Feipeng Zhang

Subtype classification and heterogeneous prognosis model construction in precision medicine pp. 814-822

Na You, Shun He, Xueqin Wang, Junxian Zhu and Heping Zhang

A scalable multi‐resolution spatio‐temporal model for brain activation and connectivity in fMRI data pp. 823-833

Stefano Castruccio, Hernando Ombao and Marc G. Genton

MILFM: Multiple index latent factor model based on high‐dimensional features pp. 834-844

Hojin Yang, Hongtu Zhu and Joseph G. Ibrahim

A statistical model for helices with applications pp. 845-854

Kanti V. Mardia, Karthik Sriram and Charlotte M. Deane

Statistical inference in a growth curve quantile regression model for longitudinal data pp. 855-862

Hyunkeun Ryan Cho

Toward a diagnostic toolkit for linear models with Gaussian‐process distributed random effects pp. 863-873

Maitreyee Bose, James S. Hodges and Sudipto Banerjee

Dynamic borrowing through empirical power priors that control type I error pp. 874-880

Stavros Nikolakopoulos, Ingeborg van der Tweel and Kit C. B. Roes

General single‐index survival regression models for incident and prevalent covariate data and prevalent data without follow‐up pp. 881-890

Shih‐Wei Chen and Chin‐Tsang Chiang

C‐learning: A new classification framework to estimate optimal dynamic treatment regimes pp. 891-899

Baqun Zhang and Min Zhang

Modeling survival distribution as a function of time to treatment discontinuation: A dynamic treatment regime approach pp. 900-909

Shu Yang, Anastasios A. Tsiatis and Michael Blazing

An alternative robust estimator of average treatment effect in causal inference pp. 910-923

Jianxuan Liu, Yanyuan Ma and Lan Wang

Estimating individualized treatment rules for ordinal treatments pp. 924-933

Jingxiang Chen, Haoda Fu, Xuanyao He, Michael R. Kosorok and Yufeng Liu

Model selection for semiparametric marginal mean regression accounting for within‐cluster subsampling variability and informative cluster size pp. 934-943

Chung‐Wei Shen and Yi‐Hau Chen

Semiparametric estimation of the accelerated mean model with panel count data under informative examination times pp. 944-953

Sy Han Chiou, Gongjun Xu, Jun Yan and Chiung‐Yu Huang

Generalized accelerated recurrence time model for multivariate recurrent event data with missing event type pp. 954-965

Huijuan Ma, Limin Peng, Zhumin Zhang and HuiChuan J. Lai

Methods for multivariate recurrent event data with measurement error and informative censoring pp. 966-976

Hsiang Yu, Yu‐Jen Cheng and Ching‐Yun Wang

A wild bootstrap approach for the Aalen–Johansen estimator pp. 977-985

Tobias Bluhmki, Claudia Schmoor, Dennis Dobler, Markus Pauly, Juergen Finke, Martin Schumacher and Jan Beyersmann

A Bayesian nonparametric approach to causal inference on quantiles pp. 986-996

Dandan Xu, Michael J. Daniels and Almut G. Winterstein

A D‐vine copula‐based model for repeated measurements extending linear mixed models with homogeneous correlation structure pp. 997-1005

Matthias Killiches and Claudia Czado

A group sequential test for treatment effect based on the Fine–Gray model pp. 1006-1013

Michael J. Martens and Brent R. Logan

Regression analysis for secondary response variable in a case‐cohort study pp. 1014-1022

Yinghao Pan, Jianwen Cai, Sangmi Kim and Haibo Zhou

Sieve analysis using the number of infecting pathogens pp. 1023-1033

Dean Follmann and Chiung‐Yu Huang

Model‐averaged confounder adjustment for estimating multivariate exposure effects with linear regression pp. 1034-1044

Ander Wilson, Corwin M. Zigler, Chirag J. Patel and Francesca Dominici

Regularized continuous‐time Markov Model via elastic net pp. 1045-1054

Shuang Huang, Chengcheng Hu, Melanie L. Bell, Dean Billheimer, Stefano Guerra, Denise Roe, Monica M. Vasquez and Edward J. Bedrick

Bayesian enhancement two‐stage design for single‐arm phase II clinical trials with binary and time‐to‐event endpoints pp. 1055-1064

Haolun Shi and Guosheng Yin

Motivating sample sizes in adaptive Phase I trials via Bayesian posterior credible intervals pp. 1065-1071

Thomas M. Braun

Detecting treatment differences in group sequential longitudinal studies with covariate adjustment pp. 1072-1081

Neal O. Jeffries, James F. Troendle and Nancy L. Geller

A multi‐source adaptive platform design for testing sequential combinatorial therapeutic strategies pp. 1082-1094

Alexander M. Kaizer, Brian P. Hobbs and Joseph S. Koopmeiners

A utility‐based design for randomized comparative trials with ordinal outcomes and prognostic subgroups pp. 1095-1103

Thomas A. Murray, Ying Yuan, Peter F. Thall, Joan H. Elizondo and Wayne L. Hofstetter

New semiparametric method for predicting high‐cost patients pp. 1104-1111

Adam Maidman and Lan Wang

An approximate joint model for multiple paired longitudinal outcomes and time‐to‐event data pp. 1112-1119

Angelo F. Elmi, Katherine L. Grantz and Paul S. Albert

Reader reaction on the fast small‐sample kernel independence test for microbiome community‐level association analysis pp. 1120-1124

Bin Guo and Baolin Wu

BOOK REVIEW pp. 1125-1126

Jason T. Connor

BOOK REVIEW pp. 1127-1128

Chris Fraley

BOOK REVIEW pp. 1129-1130

Sándor Baran

BOOK REVIEW pp. 1131-1131

Antje Hoering

BOOK REVIEW pp. 1132-1132

Donna Pauler Ankerst

BOOK REVIEW pp. 1133-1133

Joon Jin Song

BOOK REVIEW pp. 1134-1136

Booil Jo

BOOK REVIEW pp. 1137-1138

Wayne B. Nelson

Volume 74, issue 2, 2018

Data†driven confounder selection via Markov and Bayesian networks pp. 389-398

Jenny Häggström

Discussion of “Data†driven confounder selection via Markov and Bayesian networks†by Jenny Häggström pp. 399-402

Edward H. Kennedy and Sivaraman Balakrishnan

Discussion of “Data†driven confounder selection via Markov and Bayesian networks†by Häggström pp. 403-406

Thomas S. Richardson, James M. Robins and Linbo Wang

Rejoinder to Discussions on: Data†driven confounder selection via Markov and Bayesian networks pp. 407-410

Jenny Häggström

Spatial capture–mark–resight estimation of animal population density pp. 411-420

Murray G. Efford and Christine M. Hunter

Integrated powered density: Screening ultrahigh dimensional covariates with survival outcomes pp. 421-429

Hyokyoung G. Hong, Xuerong Chen, David C. Christiani and Yi Li

Joint principal trend analysis for longitudinal high†dimensional data pp. 430-438

Yuping Zhang and Zhengqing Ouyang

Eigenvalue significance testing for genetic association pp. 439-447

Yi†Hui Zhou, J. S. Marron and Fred A. Wright

A GLM†based latent variable ordination method for microbiome samples pp. 448-457

Michael B. Sohn and Hongzhe Li

Empirical null estimation using zero†inflated discrete mixture distributions and its application to protein domain data pp. 458-471

Iris Ivy M. Gauran, Junyong Park, Johan Lim, DoHwan Park, John Zylstra, Thomas Peterson, Maricel Kann and John L. Spouge

Augmented and doubly robust G†estimation of causal effects under a Structural nested failure time model pp. 472-480

Karl Mertens and Stijn Vansteelandt

Inverse probability weighted Cox regression for doubly truncated data pp. 481-487

Micha Mandel, Jacobo de Uña†à lvarez, David K. Simon and Rebecca A. Betensky

A semiparametric likelihood†based method for regression analysis of mixed panel†count data pp. 488-497

Liang Zhu, Ying Zhang, Yimei Li, Jianguo Sun and Leslie L. Robison

Monte Carlo methods for nonparametric regression with heteroscedastic measurement error pp. 498-505

Julie McIntyre, Brent A. Johnson and Stephen M. Rappaport

Optimal treatment assignment to maximize expected outcome with multiple treatments pp. 506-516

Zhilan Lou, Jun Shao and Menggang Yu

Estimation and evaluation of linear individualized treatment rules to guarantee performance pp. 517-528

Xin Qiu, Donglin Zeng and Yuanjia Wang

Adaptive designs for the one†sample log†rank test pp. 529-537

Rene Schmidt, Andreas Faldum and Robert Kwiecien

Experimental design for multi†drug combination studies using signaling networks pp. 538-547

Hengzhen Huang, Hong†Bin Fang and Ming T. Tan

A matrix†based method of moments for fitting multivariate network meta†analysis models with multiple outcomes and random inconsistency effects pp. 548-556

Dan Jackson, Sylwia Bujkiewicz, Martin Law, Richard D. Riley and Ian White

Risk prediction for heterogeneous populations with application to hospital admission prediction pp. 557-565

Jared D. Huling, Menggang Yu, Muxuan Liang and Maureen Smith

Regularity of a renewal process estimated from binary data pp. 566-574

John D. Rice, Robert L. Strawderman and Brent A. Johnson

Analysis of restricted mean survival time for length†biased data pp. 575-583

Chi Hyun Lee, Jing Ning and Yu Shen

Clustering distributions with the marginalized nested Dirichlet process pp. 584-594

Daiane Aparecida Zuanetti, Peter Müller, Yitan Zhu, Shengjie Yang and Yuan Ji

Covariate†adjusted Spearman's rank correlation with probability†scale residuals pp. 595-605

Qi Liu, Chun Li, Valentine Wanga and Bryan E. Shepherd

Heterogeneous reciprocal graphical models pp. 606-615

Yang Ni, Peter Müller, Yitan Zhu and Yuan Ji

Estimation of cis†eQTL effect sizes using a log of linear model pp. 616-625

John Palowitch, Andrey Shabalin, Yi†Hui Zhou, Andrew B. Nobel and Fred A. Wright

Continuous†time capture–recapture in closed populations pp. 626-635

Matthew R. Schofield, Richard J. Barker and Nicholas Gelling

Bayesian variable selection for multistate Markov models with interval†censored data in an ecological momentary assessment study of smoking cessation pp. 636-644

Matthew D. Koslovsky, Michael D. Swartz, Wenyaw Chan, Luis Leon†Novelo, Anna V. Wilkinson, Darla E. Kendzor and Michael S. Businelle

Fully Bayesian spectral methods for imaging data pp. 645-652

Brian J. Reich, Joseph Guinness, Simon N. Vandekar, Russell T. Shinohara and Ana†Maria Staicu

Testing for gene–environment interaction under exposure misspecification pp. 653-662

Ryan Sun, Raymond J. Carroll, David C. Christiani and Xihong Lin

Single index methods for evaluation of marker†guided treatment rules based on multivariate marker panels pp. 663-672

Veronika Skrivankova and Patrick J. Heagerty

Sample size determination for multilevel hierarchical designs using generalized linear mixed models pp. 673-684

Anup Amatya and Dulal K. Bhaumik

Improved dynamic predictions from joint models of longitudinal and survival data with time†varying effects using P†splines pp. 685-693

Eleni†Rosalina Andrinopoulou, Paul H. C. Eilers, Johanna J. M. Takkenberg and Dimitris Rizopoulos

Efficiency of two sample tests via the restricted mean survival time for analyzing event time observations pp. 694-702

Lu Tian, Haoda Fu, Stephen J. Ruberg, Hajime Uno and Lee†Jen Wei

Modeling the causal effect of treatment initiation time on survival: Application to HIV/TB co†infection pp. 703-713

Liangyuan Hu, Joseph W. Hogan, Ann W. Mwangi and Abraham Siika

Modeling associations between latent event processes governing time series of pulsing hormones pp. 714-724

Huayu Liu, Nichole E. Carlson, Gary K. Grunwald and Alex J. Polotsky

Cox regression model with doubly truncated data pp. 725-733

Lior Rennert and Sharon X. Xie

A C†index for recurrent event data: Application to hospitalizations among dialysis patients pp. 734-743

Sehee Kim, Douglas E. Schaubel and Keith P. McCullough

A two†stage model for wearable device data pp. 744-752

Jiawei Bai, Yifei Sun, Jennifer A. Schrack, Ciprian M. Crainiceanu and Mei†Cheng Wang

Case†only approach to identifying markers predicting treatment effects on the relative risk scale pp. 753-763

James Y. Dai, C. Jason Liang, Michael LeBlanc, Ross L. Prentice and Holly Janes

Reader Reaction: A note on testing and estimation in marker†set association study using semiparametric quantile regression kernel machine pp. 764-766

Xiang Zhan and Michael C. Wu

Rejoinder to “A note on testing and estimation in marker†set association study using semiparametric quantile regression kernel machine†pp. 767-768

Dehan Kong, Arnab Maity, Fang†Chi Hsu and Jung†Ying Tzeng

TREVOR HASTIE, ROBERT TIBSHIRANI, AND MARTIN WAINWRIGHT. Statistical Learning with Sparsity: The Lasso and Generalizations. Boca Raton: CRC Press pp. 769-769

Ivan Kondofersky and Fabian J. Theis

NORMAN MATLOFF. Parallel Computing for Data Science: With Examples in R, C++, and CUDA. Boca Raton: CRC Press pp. 770-770

Dirk Eddelbuettel

JAY HERSON. Data and Safety Monitoring Committees in Clinical Trials, 2nd edition. Boca Raton: CRC Press pp. 771-771

Donna Pauler Ankerst

RICHARD M. SIMON. Genomic Clinical Trials and Predictive Medicine. Cambridge: Cambridge University Press pp. 772-772

Shigeyuki Matsui

ARDO VAN DEN HOUT. Multi†State Survival Models for Interval†Censored Data. Boca Raton: CRC Press pp. 773-773

Christopher Jackson

IAN FOSTER, RAYID GHANI, RON S. JARMIN, FRAUKE KREUTER, JULIA LANE. Big Data and Social Science: A Practical Guide to Methods and Tools. Boca Raton: CRC Press pp. 774-775

Elena A. Erosheva

CLAUDIO CARINI, SANDEEP M. MENON, AND MARK CHANG, EDS. Clinical and Statistical Considerations in Personalized Medicine. Boca Raton: CRC Press pp. 775-776

Ruth Pfeiffer

DANIEL O. STRAM. Design, Analysis, and Interpretation of Genome†Wide Association Scans. Heidelberg: Springer pp. 777-778

Min Zhang

BILL SHIPLEY. Cause and Correlation in Biology: A User's Guide to Path Analysis, Structural Equations and Causal Inference with R, 2nd ed. United Kingdom: Cambridge University Press pp. 779-780

Kathryn M. Irvine

Volume 74, issue 1, 2018

Covariate selection with group lasso and doubly robust estimation of causal effects pp. 8-17

Brandon Koch, David M. Vock and Julian Wolfson

Incorporating Patient Preferences into Estimation of Optimal Individualized Treatment Rules pp. 18-26

Emily L. Butler, Eric B. Laber, Sonia M. Davis and Michael R. Kosorok

Evaluating principal surrogate markers in vaccine trials in the presence of multiphase sampling pp. 27-39

Ying Huang

A gatekeeping procedure to test a primary and a secondary endpoint in a group sequential design with multiple interim looks pp. 40-48

Ajit C. Tamhane, Jiangtao Gou, Christopher Jennison, Cyrus R. Mehta and Teresa Curto

Covariate†adjusted response†adaptive randomization for multi†arm clinical trials using a modified forward looking Gittins index rule pp. 49-57

Sofía S. Villar and William F. Rosenberger

Outcome†dependent sampling with interval†censored failure time data pp. 58-67

Qingning Zhou, Jianwen Cai and Haibo Zhou

Semiparametric probit models with univariate and bivariate current†status data pp. 68-76

Hao Liu and Jing Qin

Simple and fast overidentified rank estimation for right†censored length†biased data and backward recurrence time pp. 77-85

Yifei Sun, Kwun Chuen Gary Chan and Jing Qin

A local agreement pattern measure based on hazard functions for survival outcomes pp. 86-99

Tian Dai, Ying Guo, Limin Peng and Amita K. Manatunga

A pairwise likelihood augmented Cox estimator for left†truncated data pp. 100-108

Fan Wu, Sehee Kim, Jing Qin, Rajiv Saran and Yi Li

FLCRM: Functional linear cox regression model pp. 109-117

Dehan Kong, Joseph G. Ibrahim, Eunjee Lee and Hongtu Zhu

Cox regression with dependent error in covariates pp. 118-126

Yijian Huang and Ching†Yun Wang

Functional multiple indicators, multiple causes measurement error models pp. 127-134

Carmen D. Tekwe, Roger S. Zoh, Fuller W. Bazer, Guoyao Wu and Raymond J. Carroll

Model†based bootstrapping when correcting for measurement error with application to logistic regression pp. 135-144

John P. Buonaccorsi, Giovanni Romeo and Magne Thoresen

Robust mislabel logistic regression without modeling mislabel probabilities pp. 145-154

Hung Hung, Zhi†Yu Jou and Su†Yun Huang

Computation of ancestry scores with mixed families and unrelated individuals pp. 155-164

Yi†Hui Zhou, James S. Marron and Fred A. Wright

Multiple phenotype association tests using summary statistics in genome†wide association studies pp. 165-175

Zhonghua Liu and Xihong Lin

Multivariate association analysis with somatic mutation data pp. 176-184

Qianchuan He, Yang Liu, Ulrike Peters and Li Hsu

Inferring network structure in non†normal and mixed discrete†continuous genomic data pp. 185-195

Anindya Bhadra, Arvind Rao and Veerabhadran Baladandayuthapani

Fast approximation of small p†values in permutation tests by partitioning the permutations pp. 196-206

Brian D. Segal, Thomas Braun, Michael R. Elliott and Hui Jiang

Global sensitivity analysis for repeated measures studies with informative drop†out: A semi†parametric approach pp. 207-219

Daniel Scharfstein, Aidan McDermott, Iván Díaz, Marco Carone, Nicola Lunardon and Ibrahim Turkoz

A profile likelihood approach for longitudinal data analysis pp. 220-228

Ziqi Chen, Man†Lai Tang and Wei Gao

FPCA†based method to select optimal sampling schedules that capture between†subject variability in longitudinal studies pp. 229-238

Meihua Wu, Ana Diez†Roux, Trivellore E. Raghunathan and Brisa N. Sánchez

Model†free scoring system for risk prediction with application to hepatocellular carcinoma study pp. 239-248

Weining Shen, Jing Ning, Ying Yuan, Anna S. Lok and Ziding Feng

A Bayesian screening approach for hepatocellular carcinoma using multiple longitudinal biomarkers pp. 249-259

Nabihah Tayob, Francesco Stingo, Kim†Anh Do, Anna S. F. Lok and Ziding Feng

Conditional adaptive Bayesian spectral analysis of nonstationary biomedical time series pp. 260-269

Scott A. Bruce, Martica H. Hall, Daniel J. Buysse and Robert T. Krafty

BayesCAT: Bayesian co†estimation of alignment and tree pp. 270-279

Heejung Shim and Bret Larget

Estimating the size of an open population using sparse capture–recapture data pp. 280-288

Richard Huggins, Jakub Stoklosa, Cameron Roach and Paul Yip

Evaluating center performance in the competing risks setting: Application to outcomes of wait†listed end†stage renal disease patients pp. 289-299

Sai H. Dharmarajan, Douglas E. Schaubel and Rajiv Saran

Integrative analysis of transcriptomic and metabolomic data via sparse canonical correlation analysis with incorporation of biological information pp. 300-312

Sandra E. Safo, Shuzhao Li and Qi Long

Multi†subgroup gene screening using semi†parametric hierarchical mixture models and the optimal discovery procedure: Application to a randomized clinical trial in multiple myeloma pp. 313-320

Shigeyuki Matsui, Hisashi Noma, Pingping Qu, Yoshio Sakai, Kota Matsui, Christoph Heuck and John Crowley

Estimating the probability of clonal relatedness of pairs of tumors in cancer patients pp. 321-330

Audrey Mauguen, Venkatraman E. Seshan, Irina Ostrovnaya and Colin B. Begg

Profiling the effects of short time†course cold ischemia on tumor protein phosphorylation using a Bayesian approach pp. 331-341

You Wu, Jeremy Gaskins, Maiying Kong and Susmita Datta

Spatial Bayesian latent factor regression modeling of coordinate†based meta†analysis data pp. 342-353

Silvia Montagna, Tor Wager, Lisa Feldman Barrett, Timothy D. Johnson and Thomas E. Nichols

A note on marginalization of regression parameters from mixed models of binary outcomes pp. 354-361

Donald Hedeker, Stephen H. C. du Toit, Hakan Demirtas and Robert D. Gibbons

Why you cannot transform your way out of trouble for small counts pp. 362-368

David I. Warton

On the reliability of N†mixture models for count data pp. 369-377

Richard J. Barker, Matthew R. Schofield, William A. Link and John R. Sauer

Gerhard Tutz and Matthias Schmid. Modeling Discrete Time†to†Event Data. Heidelberg, Springer pp. 378-379

Jan Beyersmann

Chul Ahn, Moonseong Heo and Song Zhang. Sample Size Calculations for Clustered and Longitudinal Outcomes in Clinical Research. Boca Raton, CRC Press pp. 379-379

Joel Michalek

Marco Scutari and Jean†Baptiste Denis. Bayesian Networks: With Examples in R. Boca Raton, CRC Press pp. 379-380

Prabhanjan Tattar

Alex Bottle and Paul Aylin. Statistical Methods for Healthcare Performance Monitoring. Boca Raton, CRC Press pp. 381-382

Christoph F. Kurz

Jinqiao Duan. An Introduction to Stochastic Dynamics. New York, Cambridge University Press pp. 381-381

Johannes Müller

Niels G. Becker. Modeling to Inform Infectious Disease Control. Boca Raton, CRC Press pp. 382-383

Christina Kuttler

Robert Elashoff, Gang Li and Ning Li. Joint Modeling of Longitudinal and Time†to†Event Data. Boca Raton, CRC Press pp. 383-384

Hélène Jacqmin†Gadda

Max Kuhn and Kjell Johnson. Applied Predictive Modeling. New York, Springer pp. 383-383

Dimitris Rizopoulos