# Biometrics
1999 - 2019
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**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*
**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**
- Dataâ€ driven confounder selection via Markov and Bayesian networks pp. 389-398
*Jenny HÃ¤ggstrÃ¶m*
- Discussion of â€œDataâ€ driven confounder selection via Markov and Bayesian networksâ€ by Jenny HÃ¤ggstrÃ¶m pp. 399-402
*Edward H. Kennedy* and *Sivaraman Balakrishnan*
- Discussion of â€œDataâ€ driven confounder selection via Markov and Bayesian networksâ€ by HÃ¤ggstrÃ¶m pp. 403-406
*Thomas S. Richardson*, *James M. Robins* and *Linbo Wang*
- Rejoinder to Discussions on: Dataâ€ driven confounder selection via Markov and Bayesian networks pp. 407-410
*Jenny HÃ¤ggstrÃ¶m*
- Spatial captureâ€“markâ€“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 highâ€ dimensional data pp. 430-438
*Yuping Zhang* and *Zhengqing Ouyang*
- Eigenvalue significance testing for genetic association pp. 439-447
*Yiâ€ Hui Zhou*, *J. S. Marron* and *Fred A. Wright*
- A GLMâ€ based latent variable ordination method for microbiome samples pp. 448-457
*Michael B. Sohn* and *Hongzhe Li*
- Empirical null estimation using zeroâ€ 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 Gâ€ 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 UÃ±aâ€ Ã lvarez*, *David K. Simon* and *Rebecca A. Betensky*
- A semiparametric likelihoodâ€ based method for regression analysis of mixed panelâ€ 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 oneâ€ sample logâ€ rank test pp. 529-537
*Rene Schmidt*, *Andreas Faldum* and *Robert Kwiecien*
- Experimental design for multiâ€ drug combination studies using signaling networks pp. 538-547
*Hengzhen Huang*, *Hongâ€ Bin Fang* and *Ming T. Tan*
- A matrixâ€ based method of moments for fitting multivariate network metaâ€ analysis models with multiple outcomes and random inconsistency effects pp. 548-556
*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
*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 lengthâ€ 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 MÃ¼ller*, *Yitan Zhu*, *Shengjie Yang* and *Yuan Ji*
- Covariateâ€ adjusted Spearman's rank correlation with probabilityâ€ 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 MÃ¼ller*, *Yitan Zhu* and *Yuan Ji*
- Estimation of cisâ€ eQTL effect sizes using a log of linear model pp. 616-625
*John Palowitch*, *Andrey Shabalin*, *Yiâ€ Hui Zhou*, *Andrew B. Nobel* and *Fred A. Wright*
- Continuousâ€ time captureâ€“recapture in closed populations pp. 626-635
*Matthew R. Schofield*, *Richard J. Barker* and *Nicholas Gelling*
- Bayesian variable selection for multistate Markov models with intervalâ€ censored data in an ecological momentary assessment study of smoking cessation pp. 636-644
*Matthew D. Koslovsky*, *Michael D. Swartz*, *Wenyaw Chan*, *Luis Leonâ€ 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 *Anaâ€ Maria Staicu*
- Testing for geneâ€“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 markerâ€ 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 timeâ€ varying effects using Pâ€ splines pp. 685-693
*Eleniâ€ 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 *Leeâ€ Jen Wei*
- Modeling the causal effect of treatment initiation time on survival: Application to HIV/TB coâ€ 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 Câ€ index for recurrent event data: Application to hospitalizations among dialysis patients pp. 734-743
*Sehee Kim*, *Douglas E. Schaubel* and *Keith P. McCullough*
- A twoâ€ stage model for wearable device data pp. 744-752
*Jiawei Bai*, *Yifei Sun*, *Jennifer A. Schrack*, *Ciprian M. Crainiceanu* and *Meiâ€ Cheng Wang*
- Caseâ€ 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 markerâ€ set association study using semiparametric quantile regression kernel machine pp. 764-766
*Xiang Zhan* and *Michael C. Wu*
- Rejoinder to â€œA note on testing and estimation in markerâ€ set association study using semiparametric quantile regression kernel machineâ€ pp. 767-768
*Dehan Kong*, *Arnab Maity*, *Fangâ€ Chi Hsu* and *Jungâ€ 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. Multiâ€ State Survival Models for Intervalâ€ 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 Genomeâ€ 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*
- Covariateâ€ adjusted responseâ€ adaptive randomization for multiâ€ arm clinical trials using a modified forward looking Gittins index rule pp. 49-57
*SofÃa S. Villar* and *William F. Rosenberger*
- Outcomeâ€ dependent sampling with intervalâ€ censored failure time data pp. 58-67
*Qingning Zhou*, *Jianwen Cai* and *Haibo Zhou*
- Semiparametric probit models with univariate and bivariate currentâ€ status data pp. 68-76
*Hao Liu* and *Jing Qin*
- Simple and fast overidentified rank estimation for rightâ€ censored lengthâ€ 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 leftâ€ 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 *Chingâ€ 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*
- Modelâ€ 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*, *Zhiâ€ Yu Jou* and *Suâ€ Yun Huang*
- Computation of ancestry scores with mixed families and unrelated individuals pp. 155-164
*Yiâ€ Hui Zhou*, *James S. Marron* and *Fred A. Wright*
- Multiple phenotype association tests using summary statistics in genomeâ€ 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 nonâ€ normal and mixed discreteâ€ continuous genomic data pp. 185-195
*Anindya Bhadra*, *Arvind Rao* and *Veerabhadran Baladandayuthapani*
- Fast approximation of small pâ€ 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 dropâ€ out: A semiâ€ parametric approach pp. 207-219
*Daniel Scharfstein*, *Aidan McDermott*, *IvÃ¡n DÃaz*, *Marco Carone*, *Nicola Lunardon* and *Ibrahim Turkoz*
- A profile likelihood approach for longitudinal data analysis pp. 220-228
*Ziqi Chen*, *Manâ€ Lai Tang* and *Wei Gao*
- FPCAâ€ based method to select optimal sampling schedules that capture betweenâ€ subject variability in longitudinal studies pp. 229-238
*Meihua Wu*, *Ana Diezâ€ Roux*, *Trivellore E. Raghunathan* and *Brisa N. SÃ¡nchez*
- Modelâ€ 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*, *Kimâ€ 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 coâ€ estimation of alignment and tree pp. 270-279
*Heejung Shim* and *Bret Larget*
- Estimating the size of an open population using sparse captureâ€“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 waitâ€ listed endâ€ 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*
- Multiâ€ subgroup gene screening using semiâ€ 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 timeâ€ 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 coordinateâ€ based metaâ€ 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 Nâ€ 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 Timeâ€ toâ€ 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 Jeanâ€ Baptiste Denis. Bayesian Networks: With Examples in R. Boca Raton, CRC Press pp. 379-380
*Prabhanjan Tattar*
- Jinqiao Duan. An Introduction to Stochastic Dynamics. New York, Cambridge University Press pp. 381-381
*Johannes MÃ¼ller*
- Alex Bottle and Paul Aylin. Statistical Methods for Healthcare Performance Monitoring. Boca Raton, CRC Press pp. 381-382
*Christoph F. Kurz*
- 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 Timeâ€ toâ€ Event Data. Boca Raton, CRC Press pp. 383-384
*HÃ©lÃ¨ne Jacqminâ€ Gadda*
- Max Kuhn and Kjell Johnson. Applied Predictive Modeling. New York, Springer pp. 383-383
*Dimitris Rizopoulos*
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