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Volume 75, issue 1, 2019

On assessing binary regression models based on ungrouped data pp. 5-12 Downloads
Chunling Lu and Yuhong Yang
Adaptive elastic net for group testing pp. 13-23 Downloads
Karl B. Gregory, Dewei Wang and Christopher S. McMahan
Removal models accounting for temporary emigration pp. 24-35 Downloads
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 Downloads
Jianyu Liu, Wei Sun and Yufeng Liu
Registration for exponential family functional data pp. 48-57 Downloads
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 Downloads
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 Downloads
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 Downloads
Chuan Hong, Katherine P. Liao and Tianxi Cai
Multiple robust estimation of marginal structural mean models for unconstrained outcomes pp. 90-99 Downloads
Lucia Babino, Andrea Rotnitzky and James Robins
On doubly robust estimation of the hazard difference pp. 100-109 Downloads
Oliver Dukes, Torben Martinussen, Eric J. Tchetgen Tchetgen and Stijn Vansteelandt
Instrumental variable estimation in semi‐parametric additive hazards models pp. 110-120 Downloads
Matthias Brueckner, Andrew Titman and Thomas Jaki
Semiparametric regression analysis of length‐biased interval‐censored data pp. 121-132 Downloads
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 Downloads
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 Downloads
Jessica Kasza and Andrew B. Forbes
Personalized schedules for surveillance of low‐risk prostate cancer patients pp. 153-162 Downloads
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 Downloads
Ian W. McKeague and Min Qian
Bayesian inference of hub nodes across multiple networks pp. 172-182 Downloads
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 Downloads
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 Downloads
Matthew W. Wheeler
A novel bayesian multiple testing approach to deregulated miRNA discovery harnessing positional clustering pp. 202-209 Downloads
Noirrit Kiran Chandra, Richa Singh and Sourabh Bhattacharya
A hidden markov model for identifying differentially methylated sites in bisulfite sequencing data pp. 210-221 Downloads
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 Downloads
Yunpeng Zhao, Qing Pan and Chengan Du
Generalized linear models with linear constraints for microbiome compositional data pp. 235-244 Downloads
Jiarui Lu, Pixu Shi and Hongzhe Li
Sufficient dimension reduction via random‐partitions for the large‐p‐small‐n problem pp. 245-255 Downloads
Hung Hung and Su‐Yun Huang
Diagonal likelihood ratio test for equality of mean vectors in high‐dimensional data pp. 256-267 Downloads
Zongliang Hu, Tiejun Tong and Marc G. Genton
Automated feature selection of predictors in electronic medical records data pp. 268-277 Downloads
Jessica Gronsbell, Jessica Minnier, Sheng Yu, Katherine Liao and Tianxi Cai
Informative group testing for multiplex assays pp. 278-288 Downloads
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 Downloads
Sherri Rose and Sharon‐Lise Normand
Flexible parametric approach to classical measurement error variance estimation without auxiliary data pp. 297-307 Downloads
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 Downloads
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 Downloads
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 Downloads
Ben C. Stevenson, David L. Borchers and Rachel M. Fewster
Multi‐study factor analysis pp. 337-346 Downloads
Roberta De Vito, Ruggero Bellio, Lorenzo Trippa and Giovanni Parmigiani
On the alternative hypotheses for the win ratio pp. 347-351 Downloads
Lu Mao
Rejoinder to “on the alternative hypotheses for the win ratio” pp. 352-354 Downloads
Xiaodong Luo, Hong Tian, Surya Mohanty and Wei Yann Tsai
Book Review pp. 356-356 Downloads
Yaakov Malinovsky
Book Review pp. 357-357 Downloads
Stephen Bäuerle
Book Review pp. 358-360 Downloads
A. James O’Malley
Book Review pp. 361-361 Downloads
Bill Shannon

Volume 74, issue 4, 2018

Model assisted sensitivity analyses for hidden bias with binary outcomes pp. 1141-1149 Downloads
Giovanni Nattino and Bo Lu
Sensitivity analysis and power for instrumental variable studies pp. 1150-1160 Downloads
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 Downloads
Kwonsang Lee, Dylan S. Small and Paul R. Rosenbaum
Doubly robust matching estimators for high dimensional confounding adjustment pp. 1171-1179 Downloads
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 Downloads
Rebecca Hager, Anastasios A. Tsiatis and Marie Davidian
Bayesian nonparametric generative models for causal inference with missing at random covariates pp. 1193-1202 Downloads
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 Downloads
Jacobo de Uña‐Álvarez and Micha Mandel
Semiparametric regression analysis of interval‐censored data with informative dropout pp. 1213-1222 Downloads
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 Downloads
Chi‐Chung Wen and Yi‐Hau Chen
Using survival information in truncation by death problems without the monotonicity assumption pp. 1232-1239 Downloads
Fan Yang and Peng Ding
A partially linear proportional hazards model for current status data pp. 1240-1249 Downloads
Minggen Lu and Christopher S. McMahan
Analysis of multiple survival events in generalized case‐cohort designs pp. 1250-1260 Downloads
Soyoung Kim, Donglin Zeng and Jianwen Cai
Threshold regression to accommodate a censored covariate pp. 1261-1270 Downloads
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 Downloads
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 Downloads
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 Downloads
Ting Ye and Menggang Yu
Exponential Family Functional data analysis via a low‐rank model pp. 1301-1310 Downloads
Gen Li, Jianhua Z. Huang and Haipeng Shen
Order selection and sparsity in latent variable models via the ordered factor LASSO pp. 1311-1319 Downloads
Francis K. C. Hui, Emi Tanaka and David I. Warton
Bayesian optimal interval design with multiple toxicity constraints pp. 1320-1330 Downloads
Ruitao Lin
Convex mixture regression for quantitative risk assessment pp. 1331-1340 Downloads
Antonio Canale, Daniele Durante and David B. Dunson
Identifying disease‐associated copy number variations by a doubly penalized regression model pp. 1341-1350 Downloads
Yichen Cheng, James Y. Dai, Xiaoyu Wang and Charles Kooperberg
Detection of multiple perturbations in multi‐omics biological networks pp. 1351-1361 Downloads
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 Downloads
Sandra E. Safo, Jeongyoun Ahn, Yongho Jeon and Sungkyu Jung
Scalable Bayesian variable selection for structured high‐dimensional data pp. 1372-1382 Downloads
Changgee Chang, Suprateek Kundu and Qi Long
Time‐dynamic profiling with application to hospital readmission among patients on dialysis pp. 1383-1394 Downloads
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 Downloads
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 Downloads
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 Downloads
John D. Kalbfleisch and Kevin He
Rejoinder: Time‐dynamic profiling with application to hospital readmission among patients on dialysis pp. 1404-1406 Downloads
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 Downloads
Jeffrey A. Boatman and David M. Vock
Varying‐coefficient semiparametric model averaging prediction pp. 1417-1426 Downloads
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 Downloads
Lan Wen and Shaun R. Seaman
Multiple imputation of missing data in nested case‐control and case‐cohort studies pp. 1438-1449 Downloads
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 Downloads
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 Downloads
Masataka Igeta, Kunihiko Takahashi and Shigeyuki Matsui
On the analysis of discrete time competing risks data pp. 1468-1481 Downloads
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 Downloads
Xiao Lin, Tao Lu, Fangrong Yan, Ruosha Li and Xuelin Huang
A boxplot for circular data pp. 1492-1501 Downloads
Davide Buttarazzi, Giuseppe Pandolfo and Giovanni C. Porzio
Physical activity classification with dynamic discriminative methods pp. 1502-1511 Downloads
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 Downloads
Ben Brintz, Claudio Fuentes and Lisa Madsen
Pawel Cichosz. Data Mining Algorithms explained using R. Hoboken, Wiley pp. 1519-1520 Downloads
Sumanta Basu
Jure Leskovec, Anand Rajaraman, and Jeffrey D. Ullman. Mining of Massive Datasets. Cambridge, Cambridge University Press pp. 1520-1521 Downloads
Lothar Richter
Rory Allen. Statistics and Experimental Design for Psychologists. Singapore, World Scientific Publishing Co Pte Ltd pp. 1521-1523 Downloads
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 Downloads
Hui Gu
Christophe Giraud. Introduction to High‐Dimensional Statistics. Boca Raton, CRC Press pp. 1524-1525 Downloads
Katharina Parry and Matthieu Vignes
Vance Berger. Randomization, Masking, and Allocation Concealment. CRC Press pp. 1525-1526 Downloads
Yiyao Chen

Volume 74, issue 3, 2018

Quantifying publication bias in meta‐analysis pp. 785-794 Downloads
Lifeng Lin and Haitao Chu
Discussion on Quantifying publication bias in meta‐analysis pp. 795-796 Downloads
Dan Jackson
Discussion of “quantifying publication bias in meta‐analysis” by Lin et al pp. 797-799 Downloads
Christopher H. Schmid
Discussion on “Quantifying Publication Bias in Meta‐Analysis” by Lin and Chu pp. 800-800 Downloads
Nancy L. Geller
Rejoinder to “quantifying publication bias in meta‐analysis” pp. 801-802 Downloads
Lifeng Lin and Haitao Chu
A regression framework for assessing covariate effects on the reproducibility of high‐throughput experiments pp. 803-813 Downloads
Qunhua Li and Feipeng Zhang
Subtype classification and heterogeneous prognosis model construction in precision medicine pp. 814-822 Downloads
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 Downloads
Stefano Castruccio, Hernando Ombao and Marc G. Genton
MILFM: Multiple index latent factor model based on high‐dimensional features pp. 834-844 Downloads
Hojin Yang, Hongtu Zhu and Joseph G. Ibrahim
A statistical model for helices with applications pp. 845-854 Downloads
Kanti V. Mardia, Karthik Sriram and Charlotte M. Deane
Statistical inference in a growth curve quantile regression model for longitudinal data pp. 855-862 Downloads
Hyunkeun Ryan Cho
Toward a diagnostic toolkit for linear models with Gaussian‐process distributed random effects pp. 863-873 Downloads
Maitreyee Bose, James S. Hodges and Sudipto Banerjee
Dynamic borrowing through empirical power priors that control type I error pp. 874-880 Downloads
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 Downloads
Shih‐Wei Chen and Chin‐Tsang Chiang
C‐learning: A new classification framework to estimate optimal dynamic treatment regimes pp. 891-899 Downloads
Baqun Zhang and Min Zhang
Modeling survival distribution as a function of time to treatment discontinuation: A dynamic treatment regime approach pp. 900-909 Downloads
Shu Yang, Anastasios A. Tsiatis and Michael Blazing
An alternative robust estimator of average treatment effect in causal inference pp. 910-923 Downloads
Jianxuan Liu, Yanyuan Ma and Lan Wang
Estimating individualized treatment rules for ordinal treatments pp. 924-933 Downloads
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 Downloads
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 Downloads
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 Downloads
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 Downloads
Hsiang Yu, Yu‐Jen Cheng and Ching‐Yun Wang
A wild bootstrap approach for the Aalen–Johansen estimator pp. 977-985 Downloads
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 Downloads
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 Downloads
Matthias Killiches and Claudia Czado
A group sequential test for treatment effect based on the Fine–Gray model pp. 1006-1013 Downloads
Michael J. Martens and Brent R. Logan
Regression analysis for secondary response variable in a case‐cohort study pp. 1014-1022 Downloads
Yinghao Pan, Jianwen Cai, Sangmi Kim and Haibo Zhou
Sieve analysis using the number of infecting pathogens pp. 1023-1033 Downloads
Dean Follmann and Chiung‐Yu Huang
Model‐averaged confounder adjustment for estimating multivariate exposure effects with linear regression pp. 1034-1044 Downloads
Ander Wilson, Corwin M. Zigler, Chirag J. Patel and Francesca Dominici
Regularized continuous‐time Markov Model via elastic net pp. 1045-1054 Downloads
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 Downloads
Haolun Shi and Guosheng Yin
Motivating sample sizes in adaptive Phase I trials via Bayesian posterior credible intervals pp. 1065-1071 Downloads
Thomas M. Braun
Detecting treatment differences in group sequential longitudinal studies with covariate adjustment pp. 1072-1081 Downloads
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 Downloads
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 Downloads
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 Downloads
Adam Maidman and Lan Wang
An approximate joint model for multiple paired longitudinal outcomes and time‐to‐event data pp. 1112-1119 Downloads
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 Downloads
Bin Guo and Baolin Wu
BOOK REVIEW pp. 1125-1126 Downloads
Jason T. Connor
BOOK REVIEW pp. 1127-1128 Downloads
Chris Fraley
BOOK REVIEW pp. 1129-1130 Downloads
Sándor Baran
BOOK REVIEW pp. 1131-1131 Downloads
Antje Hoering
BOOK REVIEW pp. 1132-1132 Downloads
Donna Pauler Ankerst
BOOK REVIEW pp. 1133-1133 Downloads
Joon Jin Song
BOOK REVIEW pp. 1134-1136 Downloads
Booil Jo
BOOK REVIEW pp. 1137-1138 Downloads
Wayne B. Nelson

Volume 74, issue 2, 2018

Data†driven confounder selection via Markov and Bayesian networks pp. 389-398 Downloads
Jenny Häggström
Discussion of “Data†driven confounder selection via Markov and Bayesian networks†by Jenny Häggström pp. 399-402 Downloads
Edward H. Kennedy and Sivaraman Balakrishnan
Discussion of “Data†driven confounder selection via Markov and Bayesian networks†by Häggström pp. 403-406 Downloads
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 Downloads
Jenny Häggström
Spatial capture–mark–resight estimation of animal population density pp. 411-420 Downloads
Murray G. Efford and Christine M. Hunter
Integrated powered density: Screening ultrahigh dimensional covariates with survival outcomes pp. 421-429 Downloads
Hyokyoung G. Hong, Xuerong Chen, David C. Christiani and Yi Li
Joint principal trend analysis for longitudinal high†dimensional data pp. 430-438 Downloads
Yuping Zhang and Zhengqing Ouyang
Eigenvalue significance testing for genetic association pp. 439-447 Downloads
Yi†Hui Zhou, J. S. Marron and Fred A. Wright
A GLM†based latent variable ordination method for microbiome samples pp. 448-457 Downloads
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 Downloads
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 Downloads
Karl Mertens and Stijn Vansteelandt
Inverse probability weighted Cox regression for doubly truncated data pp. 481-487 Downloads
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 Downloads
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 Downloads
Julie McIntyre, Brent A. Johnson and Stephen M. Rappaport
Optimal treatment assignment to maximize expected outcome with multiple treatments pp. 506-516 Downloads
Zhilan Lou, Jun Shao and Menggang Yu
Estimation and evaluation of linear individualized treatment rules to guarantee performance pp. 517-528 Downloads
Xin Qiu, Donglin Zeng and Yuanjia Wang
Adaptive designs for the one†sample log†rank test pp. 529-537 Downloads
Rene Schmidt, Andreas Faldum and Robert Kwiecien
Experimental design for multi†drug combination studies using signaling networks pp. 538-547 Downloads
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 Downloads
Dan Jackson, Sylwia Bujkiewicz, Martin Law, Richard D. Riley and Ian R. White
Risk prediction for heterogeneous populations with application to hospital admission prediction pp. 557-565 Downloads
Jared D. Huling, Menggang Yu, Muxuan Liang and Maureen Smith
Regularity of a renewal process estimated from binary data pp. 566-574 Downloads
John D. Rice, Robert L. Strawderman and Brent A. Johnson
Analysis of restricted mean survival time for length†biased data pp. 575-583 Downloads
Chi Hyun Lee, Jing Ning and Yu Shen
Clustering distributions with the marginalized nested Dirichlet process pp. 584-594 Downloads
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 Downloads
Qi Liu, Chun Li, Valentine Wanga and Bryan E. Shepherd
Heterogeneous reciprocal graphical models pp. 606-615 Downloads
Yang Ni, Peter Müller, Yitan Zhu and Yuan Ji
Estimation of cis†eQTL effect sizes using a log of linear model pp. 616-625 Downloads
John Palowitch, Andrey Shabalin, Yi†Hui Zhou, Andrew B. Nobel and Fred A. Wright
Continuous†time capture–recapture in closed populations pp. 626-635 Downloads
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 Downloads
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 Downloads
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 Downloads
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 Downloads
Veronika Skrivankova and Patrick J. Heagerty
Sample size determination for multilevel hierarchical designs using generalized linear mixed models pp. 673-684 Downloads
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 Downloads
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 Downloads
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 Downloads
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 Downloads
Huayu Liu, Nichole E. Carlson, Gary K. Grunwald and Alex J. Polotsky
Cox regression model with doubly truncated data pp. 725-733 Downloads
Lior Rennert and Sharon X. Xie
A C†index for recurrent event data: Application to hospitalizations among dialysis patients pp. 734-743 Downloads
Sehee Kim, Douglas E. Schaubel and Keith P. McCullough
A two†stage model for wearable device data pp. 744-752 Downloads
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 Downloads
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 Downloads
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 Downloads
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 Downloads
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 Downloads
Dirk Eddelbuettel
JAY HERSON. Data and Safety Monitoring Committees in Clinical Trials, 2nd edition. Boca Raton: CRC Press pp. 771-771 Downloads
Donna Pauler Ankerst
RICHARD M. SIMON. Genomic Clinical Trials and Predictive Medicine. Cambridge: Cambridge University Press pp. 772-772 Downloads
Shigeyuki Matsui
ARDO VAN DEN HOUT. Multi†State Survival Models for Interval†Censored Data. Boca Raton: CRC Press pp. 773-773 Downloads
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 Downloads
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 Downloads
Ruth Pfeiffer
DANIEL O. STRAM. Design, Analysis, and Interpretation of Genome†Wide Association Scans. Heidelberg: Springer pp. 777-778 Downloads
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 Downloads
Kathryn M. Irvine

Volume 74, issue 1, 2018

Covariate selection with group lasso and doubly robust estimation of causal effects pp. 8-17 Downloads
Brandon Koch, David M. Vock and Julian Wolfson
Incorporating Patient Preferences into Estimation of Optimal Individualized Treatment Rules pp. 18-26 Downloads
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 Downloads
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 Downloads
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 Downloads
Sofía S. Villar and William F. Rosenberger
Outcome†dependent sampling with interval†censored failure time data pp. 58-67 Downloads
Qingning Zhou, Jianwen Cai and Haibo Zhou
Semiparametric probit models with univariate and bivariate current†status data pp. 68-76 Downloads
Hao Liu and Jing Qin
Simple and fast overidentified rank estimation for right†censored length†biased data and backward recurrence time pp. 77-85 Downloads
Yifei Sun, Kwun Chuen Gary Chan and Jing Qin
A local agreement pattern measure based on hazard functions for survival outcomes pp. 86-99 Downloads
Tian Dai, Ying Guo, Limin Peng and Amita K. Manatunga
A pairwise likelihood augmented Cox estimator for left†truncated data pp. 100-108 Downloads
Fan Wu, Sehee Kim, Jing Qin, Rajiv Saran and Yi Li
FLCRM: Functional linear cox regression model pp. 109-117 Downloads
Dehan Kong, Joseph G. Ibrahim, Eunjee Lee and Hongtu Zhu
Cox regression with dependent error in covariates pp. 118-126 Downloads
Yijian Huang and Ching†Yun Wang
Functional multiple indicators, multiple causes measurement error models pp. 127-134 Downloads
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 Downloads
John P. Buonaccorsi, Giovanni Romeo and Magne Thoresen
Robust mislabel logistic regression without modeling mislabel probabilities pp. 145-154 Downloads
Hung Hung, Zhi†Yu Jou and Su†Yun Huang
Computation of ancestry scores with mixed families and unrelated individuals pp. 155-164 Downloads
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 Downloads
Zhonghua Liu and Xihong Lin
Multivariate association analysis with somatic mutation data pp. 176-184 Downloads
Qianchuan He, Yang Liu, Ulrike Peters and Li Hsu
Inferring network structure in non†normal and mixed discrete†continuous genomic data pp. 185-195 Downloads
Anindya Bhadra, Arvind Rao and Veerabhadran Baladandayuthapani
Fast approximation of small p†values in permutation tests by partitioning the permutations pp. 196-206 Downloads
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 Downloads
Daniel Scharfstein, Aidan McDermott, Iván Díaz, Marco Carone, Nicola Lunardon and Ibrahim Turkoz
A profile likelihood approach for longitudinal data analysis pp. 220-228 Downloads
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 Downloads
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 Downloads
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 Downloads
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 Downloads
Scott A. Bruce, Martica H. Hall, Daniel J. Buysse and Robert T. Krafty
BayesCAT: Bayesian co†estimation of alignment and tree pp. 270-279 Downloads
Heejung Shim and Bret Larget
Estimating the size of an open population using sparse capture–recapture data pp. 280-288 Downloads
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 Downloads
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 Downloads
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 Downloads
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 Downloads
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 Downloads
You Wu, Jeremy Gaskins, Maiying Kong and Susmita Datta
Spatial Bayesian latent factor regression modeling of coordinate†based meta†analysis data pp. 342-353 Downloads
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 Downloads
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 Downloads
David I. Warton
On the reliability of N†mixture models for count data pp. 369-377 Downloads
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 Downloads
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 Downloads
Joel Michalek
Marco Scutari and Jean†Baptiste Denis. Bayesian Networks: With Examples in R. Boca Raton, CRC Press pp. 379-380 Downloads
Prabhanjan Tattar
Jinqiao Duan. An Introduction to Stochastic Dynamics. New York, Cambridge University Press pp. 381-381 Downloads
Johannes Müller
Alex Bottle and Paul Aylin. Statistical Methods for Healthcare Performance Monitoring. Boca Raton, CRC Press pp. 381-382 Downloads
Christoph F. Kurz
Niels G. Becker. Modeling to Inform Infectious Disease Control. Boca Raton, CRC Press pp. 382-383 Downloads
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 Downloads
Hélène Jacqmin†Gadda
Max Kuhn and Kjell Johnson. Applied Predictive Modeling. New York, Springer pp. 383-383 Downloads
Dimitris Rizopoulos
Page updated 2019-07-21