Papers to Appear in Biometrics

Current Issue: Vol. 75, No. 4, December 2019


Detection of differentially expressed genes in discrete single-cell RNA sequencing data using a hurdle model with correlated random effects
Michael Sekula, Jeremy Gaskins, and Susmita Datta

Integrative Analysis of Genetical Genomics Data Incorporating Network Structures
Bin Gao, Xu Liu, Hongzhe Li, and Yuehua Cui

Pleiotropy informed adaptive association test of multiple traits using GWAS summary data
Maria Masotti, Bin Guo, and Baolin Wu

Multiclass Linear Discriminant Analysis with Ultrahigh-Dimensional Features
Yanming Li, Hyokyoung G. Hong, and Yi Li

Scalable Estimation and Regularization for the Logistic Normal Multinomial Model
Jingru Zhang and Wei Lin

Common Reducing Subspace Model and Network Alternation Analysis
Wenjing Wang, Xin Zhang, and Lexin Li

Structural Learning and Integrative Decomposition of Multi-View Data
Irina Gaynanova, and Gen Li

Simulation-Selection-Extrapolation: Estimation in High-Dimensional Errors-in-Variables Models
Linh Nghiem and Cornelis J. Potgieter

Robust Spatial Extent Inference with a Semiparametric Bootstrap Joint Testing Procedure
Simon N. Vandekar, Theodore D. Satterthwaite, Cedric H. Xia, Azeez Adebimpe, Kosha Ruparel, Ruben C. Gur, Raquel E. Gur, and Russell T. Shinohara

Copula-Based Semiparametric Models for Spatio-Temporal Data
Yanlin Tang, Huixia Judy Wang, Ying Sun, and Amanda S. Hering

Semiparametric Frailty Models for Zero-Inflated Event Count Data in the Presence of Informative Dropout
Guoqing Diao, Donglin Zeng, Kuolung Hu, and Joseph G. Ibrahim

Penalized Local Polynomial Regression for Spatial Data
Wu Wang and Ying Sun

Variance component tests of sparse multivariate mediation effects under composite null hypotheses
Yen-Tsung Huang

Model selection for G-estimation of dynamic treatment regimes
Michael P. Wallace, Erica E. M. Moodie, and David A. Stephens

Multi-Category Individualized Treatment Regime Using Outcome Weighted Learning
Xinyang Huang, Yair Goldberg, and Jin Xu

Constructing a Confidence Interval for the Fraction who Benefit From Treatment, Using Randomized Trial Data
Emily J. Huang, Ethan X. Fang, Daniel F. Hanley, and Michael Rosenblum

Leveraging nonlinear dynamic models to predict progression of neuroimaging biomarkers
Ming Sun, Donglin Zeng, and Yuanjia Wang

Using a surrogate marker for early testing of a treatment effect
Layla Parast, Tianxi Cai, and Lu Tian

Dynamic regression with recurrent events
J. E. Soh and Yijian Huang

On Null Hypotheses in Survival Analysis
Mats Julius Stensrud, Kjetil Røysland, and Pål Christie Ryalen

Fast Bayesian inference in large Gaussian graphical models
Gwenael G. R. Leday and Sylvia Richardson

Incorporating prior information with fused sparse group lasso: Application to prediction of clinical measures from neuroimages
Joanne C. Beer, Howard J. Aizenstein, Stewart J. Anderson, and Robert T. Krafty

Autologistic Network Model on Binary Data for Disease Progression Study
Yei Eun Shin, Huiyan Sang, Dawei Liu, Toby A. Ferguson, and Peter X. K. Song

Integer-Valued Functional Data Analysis for Measles Forecasting
Daniel R. Kowal

Truncated Simes tests
John Lawrence


Open population maximum likelihood spatial capture-recapture
R. Glennie, D. L. Borchers, M. Murchie, B. J. Harmsen, and R. J. Foster

Quantifying personal exposure to air pollution from smartphone-based location data
F. Finazzi and L. Paci

Assessing Alignment Between Functional Markers and Ordinal Outcomes Based on Broad Sense Agreement
Jeong Hoon Jang, Limin Peng, and Amita K. Manatunga

Directional penalties for optimal matching in observational studies
Ruoqi Yu and Paul R. Rosenbaum

Analysis of Covariance (ANCOVA) in Randomized Trials: More Precision and Valid Confidence Intervals, Without Model Assumptions
Bingkai Wang, Elizabeth L. Ogburn, and Michael Rosenblum

Improved Detection of Epigenomic Marks With Mixed Effects Hidden Markov Models
Pedro L. Baldoni, Naim U. Rashid, and Joseph G. Ibrahim


Spatio-Temporal Statistics with R (Christopher K. Wikle, Andrew Zammit-Mangion and Noel Cressie)
Reviewed by Adam Peterson

Bayesian Inference for Stochastic Processes (Lyle D. Broemeling)
Reviewed by Gabriel Isheden

Textual Data Science with R (Mónica Bécue-Bertaut)
Reviewed by Brisa N. Sánchez

Book Review: The Statistical Analysis of Multivariate Failure Time Data: A Marginal Modeling Approach by Prentice and Zhao
Lin, Danyu

Papers to appear in future issues of Biometrics

Nonparametric variable importance assessment using machine learning techniques
Brian D. Williamson, Peter B. Gilbert, Noah Simon, and Marco Carone

Semiparametric Mixed-Scale Models Using Shared Bayesian Forests
Antonio R. Linero, Debajyoti Sinha, and Stuart R. Lipsitz

Robust Inference for the Stepped Wedge Design
James P. Hughes, Patrick J. Heagerty, Fan Xia, and Yuqi Ren

Estimation of covariance matrix of multivariate longitudinal data using modified Choleksky and hypersphere decompositions
Keunbaik Lee, Hyunsoon Cho, Min-Sun Kwak, and Eun Jin Jang

A response-adaptive randomization procedure for multi-armed clinical trials with normally distributed outcomes
S. Faye Williamson, and Sofia S. Villar

Testing Independence Between two Random Sets for the Analysis of Colocalization in Bio-Imaging
Frederic Lavancier, Thierry Pecot, Liu Zengzhen, and Charles Kervrann

A Functional Generalized F-Test for Signal Detection With Applications to Event-Related Potentials Significance Analysis
David Causeur, Ching-Fan Sheu, Emeline Perthame, and Flavia Rufini

An adaptive trial design to optimize dose-schedule regimes with delayed outcomes
Ruitao Lin, Peter F. Thall, and Ying Yuan

Adaptive treatment allocation for comparative clinical studies with recurrent events data
Jingya Gao, Pei-Fang Su, Feifang Hu, and Siu Hung Cheung

Horseshoe-Based Bayesian Nonparametric Estimation of Effective Population Size Trajectories
James R. Faulkner, Andrew F. Magee, Beth Shapiro, and Vladimir N. Minin

Distance-based analysis of variance for brain connectivity
Russell T. Shinohara, Haochang Shou, Marco Carone, Robert Schultz, Birkan Tunc, Drew Parker, Melissa Lynne Martin, and Ragini Verma

Comment on "Wang et al. (2005), Robust Estimating Functions and Bias Correction for Longitudinal Data Analysis"
Nicola Lunardon and Giovanna Menardi

A general framework for modelling population abundance data
P. Besbeas and B. J. T. Morgan

CACE and meta-analysis (Letter to the editor)
Stuart Baker

Robust inference on the average treatment effect using the outcome highly adaptive lasso
Cheng Ju, David Benkeser, and Mark J. van der Laan

Testing the heritability and parent-of-origin hypotheses for ages at onset of psoriatic arthritis under biased sampling
Lajmi Lakhal-Chaieb, Richard J. Cook, and Yujie Zhong

Bayesian data integration and variable selection for pan-cancer survival prediction using protein expression data
Arnab KumarMaity, Anirban Bhattacharya, Bani K. Mallick, and Veerabhadran Baladandayuthapani

Building generalized linear models with ultrahigh dimensional features: A sequentially conditional approach
Qi Zheng, Hyokyoung G. Hong, and Yi Li

Data-adaptive longitudinal model selection in causal inference with collaborative targeted minimum loss-based estimation
Mireille E. Schnitzer, Joel Sango, Steve Ferreira Guerra, and Mark J. van der Laan

Global identifiability of latent class models with applications to diagnostic test accuracy studies: a Grobner basis approach
Rui Duan, Ming Cao, Yang Ning, Mingfu Zhu, Bin Zhang, Aidan McDermott, Haitao Chu, Xiaohua Zhou, Jason H. Moore, Joseph G. Ibrahim, Daniel O. Scharfstein, and Yong Chen

Quantification of prior impact in terms of effective current sample size
Manuel Wiesenfarth, and Silvia Calderazzo

Improving estimation efficiency for regression with MNAR covariates
Menglu Che, Peisong Han, and Jerald F. Lawless

Randomization inference with general interference and censoring
Wen Wei Loh, Michael G. Hudgens, John D. Clemens, Mohammad Ali, and Michael E. Emch

On continuous-time capture-recapture in closed populations
W. Zhang, and Simon Bonner

Permutation inference methods for multivariate meta-analysis
Hisashi Noma, Kengo Nagashima, and Toshi A. Furukawa

Novel two-phase sampling designs for studying binary outcomes
Le Wang, Matthew L. Williams, Yong Chen, and Jinbo Chen

Design and Analysis of Bridging Studies With Prior Probabilities on the Null and Alternative Hypotheses
Donglin Zeng, Zhiying Pan, and Danyu Lin

A geostatistical framework for combining spatially referenced disease prevalence data from multiple diagnostics
Benjamin Amoah, Peter J. Diggle, and Emanuele Giorgi

Structured gene-environment interaction analysis
Mengyun Wu, Qingzhao Zhang, and Shuangge Ma

Biclustering Via Sparse Clustering
Erika S. Helgeson, Qian Liu, Guanhua Chen, Michael R. Kosorok, and Eric Bair

An online updating approach for testing the proportional hazards assumption with streams of survival data
Yishu Xue, HaiYing Wang, Jun Yan, and Elizabeth D. Schifano

READER REACTION: Robustness of ANCOVA in randomised trials with unequal randomisation
Jonathan W. Bartlett

Integrative factorization of bidimensionally linked matrices
Jun Young Park, and Eric F. Lock

Large scale maximum average power multiple inference on time-course count data with application to RNA-seq analysis
Meng Cao, Wen Zhou, F. Jay Breidt, and Graham Peers

A Bayesian Approach to Joint Modeling of Matrix-valued Imaging Data and Treatment Outcome with Applications to Depression Studies
Bei Jiang, Eva Petkova, Thaddeus Tarpey, and R. Todd Ogden

A spatial open-population capture–recapture model
Murray G Efford, and Matthew Schofield

A heterogeneity measure for cluster identification with application to disease mapping
Pei-Sheng Lin, and Jun Zhu

Analysis of secondary phenotypes in multi-group association studies
Fan Zhou, Haibo Zhou, Tengfei Li, and Hongtu Zhu

Bias correction of bounded location error in binary data
Nelson Walker, Trevor Hefley, and Daniel Walsh

Multinomial N-mixture models for removal sampling
Linda M. Haines

Reader Reaction: Sharp bounds on the relative treatment effect for ordinal outcomes
Jiannan Lu, Yunshu Zhang, and Peng Ding

Equivalence of regression curves sharing common parameters
Kathrin Mollenhoff, Frank Bretz, and Holger Dette

Assessing the Goodness of Fit of Logistic Regression Models in Large Samples: A Modification of the Hosmer-Lemeshow Test
Giovanni Nattino, Michael L. Pennell, and Stanley Lemeshow

Cox regression with survival-time-dependent missing covariate values
Yanyao Yi, Ting Ye, Menggang Yu, and Jun Shao

Simultaneous confidence corridors for mean functions in functional data analysis of imaging data
Yueying Wang, Guannan Wang, Li Wang, and R. Todd Ogden

Penalized Survival Models for the Analysis of Alternating Recurrent Event Data
Lili Wang, Kevin He, and Douglas E. Schaubel

Predictively consistent prior effective sample sizes
Beat Neuenschwander, Sebastian Weber, Heinz Schmidli, and Anthony O’Hagan

Testing small study effects in multivariate meta-analysis
Chuan Hong, Georgia Salanti, Sally Morton, Richard Riley, Haitao Chu, Stephen E. Kimmel, and Yong Chen

Data reduction prior to inference: Are there consequences of comparing groups using a t-test based on principal component scores?
Edward J. Bedrick

An adaptive independence test for microbiome community data
Yaru Song, Hongyu Zhao, and Tao Wang

Adjusting for time-varying confounders in survival analysis using structural nested cumulative survival time models
Shaun Seaman, Oliver Dukes, Ruth Keogh, and Stijn Vansteelandt

Designing precision medicine trials to yield greater population impact
Ying-Qi Zhao and Michael L. LeBlanc

Sequential adaptive variables and subject selection for GEE methods
Zimu Chen, Zhanfeng Wang, and Yuan-chin Ivan Chang

The profile inter-unit reliability
Kevin He, Claudia Dahlerus, Lu Xia, Yanming Li, and John D. Kalbfleisch

Inverse probability weighting methods for Cox regression with right-truncated data
Bella Vakulenko-Lagun, Micha Mandel, and Rebecca A. Betensky

Gene-based association analysis for bivariate time-to-event data through functional regression with copula models
Yue Wei, Yi Sun Liu, Chen Tao, and Ying Wei Ding

Bayesian design of biosimilars clinical programs involving multiple therapeutic indications
Matthew A. Psioda, Kuolung Hu, Yang Zhang, Jean Pan, and Joseph G. Ibrahim

Inference in MCMC step selection models
Theo Michelot, Paul G. Blackwell, Simon Chamaille-Jammes, and Jason Matthiopoulos

Approximation of bias and mean squared error in two-sample Mendelian randomization analyses
Lu Deng, Han Zhang, Lei Song, and Kai Yu

On Mendelian randomization in case-control studies
Han Zhang, Jing Qin, Sonja I. Berndt, Demetrius Albanes, Lu Deng, Mitchell H. Gail and Kai Yu

Power calculation for cross-sectional stepped wedge cluster randomized trials with variable cluster sizes
Linda J. Harrison, Tom Chen, and Rui Wang

Corrections for measurement error due to delayed onset of illness for case-crossover designs
Brent A. Coull, Seokho Lee, Glen McGee, Justin Manjourides, Murray A. Mittleman, and Gregory A. Wellenius

Dynamic modelling of multivariate dimensions and their temporal relationships using latent processes: application to Alzheimer’s disease
Bachirou O. Tadde, Helene Jacqmin-Gadda, Jean Francois Dartigues, Daniel Commenges, and Cecile Proust-Lima

One-step targeted maximum likelihood estimation for time-to-event outcomes
Weixin Cai, and Mark J. van der Laan

Discovering structure in multiple outcomes models for tests of childhood neurodevelopment
Amy LaLonde, Tanzy Love, Sally W. Thurston, and Philip W. Davidson

A temporally-stratified extension of space-for-time Cormack-Jolly-Seber for migratory animals
Dalton Hance, Russell Perry, John M. Plumb, and Adam C. Pope

Rejoinder to "On continuous-time capture-recapture in closed populations"
Matthew Schofield and Richard Barker

Statistical inference for net benefit measures in biomarker validation studies
Tracey L. Marsh, Holly Janes, and Margaret S. Pepe

Estimating Individualized Treatment Regimes from Crossover Designs
Crystal T. Nguyen, Daniel J. Luckett, Anna R. Kahkoska, Grace E. Shearrer, Donna Spruijt-Metz, Jaimie N. Davis, and Michael R. Kosorok

From mixed effects modeling to spike and slab variable selection: A Bayesian regression model for group testing data
Chase N. Joyner, Christopher S. McMahan, Joshua M. Tebbs, and Christopher R. Bilder

Rejoinder to "Robustness of ANCOVA in randomized trials with unequal randomization" by Jonathan W. Bartlett
Bingkai Wang, Elizabeth L. Ogburn, and Michael Rosenblum

Order-restricted inference for clustered ROC data with application to fingerprint matching accuracy
Wei Zhang, Larry L. Tang, Qizhai Li, Aiyi Liu, and Mei-Ling Ting Lee

Bayesian shrinkage estimation of high dimensional causal mediation effects in omics studies
Yanyi Song, Xiang Zhou, Min Zhang, Wei Zhao, Yongmei Liu, Sharon L. R. Kardia, Ana V. Diez Roux, Belinda L. Needham, Jennifer A. Smith, and Bhramar Mukherjee

Discussion on "Assessing the goodness of fit of logistic regression models in large samples: A modification of the Hosmer-Lemeshow test" by Giovanni Nattino, Michael L. Pennell, and Stanley Lemeshow
Galit Shmueli

Discussion on "Assessing the goodness of fit of logistic regression models in large samples: A modification of the Hosmer-Lemeshow test" by Giovanni Nattino, Michael L. Pennell, and Stanley Lemeshow
Dandan Liu and Bryan Shepherd

Discussion on "Assessing the goodness of fit of logistic regression models in large samples: A modification of the Hosmer-Lemeshow test" by Giovanni Nattino, Michael L. Pennell, and Stanley Lemeshow
Ivy Liu and Daniel Fernandez

Multivariate Hierarchical Frameworks for Modelling Delayed Reporting in Count Data
Oliver Stoner and Theo Economou

Censored linear regression in the presence or absence of auxiliary survival information
Ying Sheng, Yifei Sun, Detian Deng, and Chiung-Yu Huang

Optimal approximate conversions of odds ratios and hazard ratios to risk ratios
Tyler J. VanderWeele

Estimating Average Treatment Effects with a Double-Index Propensity Score
David Cheng, Abhishek Chkrabortty, Ashwin N. Ananthakrishnan, and Tianxi Cai

Bayesian compartmental models and associated reproductive numbers for an infection with multiple transmission modes
Marie V. Ozanne, Grant D. Brown, Angela J. Toepp, Breanna M. Scorza, Jacob J. Oleson, Mary E. Wilson, and Christine A. Petersen

Estimating overdispersion in sparse multinomial data
Farzana Afroz, Matt Parry, and David Fletcher

Joint analysis of single cell and bulk tissue sequencing data to infer intra-tumor heterogeneity
Wei Sun, Chong Jin, Jonathan A. Gelfond, Ming-Hui Chen, and Joseph G. Ibrahim

Sample size and power for the weighted log-rank test and Kaplan-Meier based tests with allowance for non-proportional hazards
Godwin Yung and Yi Liu

Learning-based biomarker-assisted rules for optimized clinical benefit under a risk-constraint
Yanqing Wang, Ying-Qi Zhao, and Yingye Zheng

G-estimation of structural nested restricted mean time lost models to estimate effects of time-varying treatments on a failure time outcome
Yasuhiro Hagiwara, Tomohiro Shinozaki, and Yutaka Matsuyama

A bivariate joint frailty model with mixture framework for survival analysis of recurrent events with dependent censoring and cure fraction
Richard Tawiah, Geoffrey J. McLachlan, and Shu-Kay Ng

Identifying disease-associated biomarker network features through conditional graphical model
Shanghong Xie, Xiang Li, Peter McColgan, Rachael I. Scahill, Donglin Zeng, and Yuanjia Wang

A Fast Score Test for Generalized Mixture Models
Rui Duan, Yang Ning, Shuang Wang, Bruce G. Lindsay, Raymond J. Carroll, and Yong Chen

A Test of Homogeneity of Distributions when Observations are Subject to Measurement Errors
DongHyuk Lee, Soumendra N. Lahiri, and Samiran Sinha

A multilevel mixed effects varying coefficient model with multilevel predictors and random effects for modeling hospitalization risk in patients on dialysis
Yihao Li, Danh V. Nguyen, Esra Kurum, Connie M. Rhee, Yanjun Chen, Kamyar Kalantar-Zadeh, and Damla Senturk

Estimating treatment importance in multidrug-resistant tuberculosis using Targeted Learning: an observational individual patient data network meta-analysis
Guanbo Wang, Mireille Schnitzer, Dick Menzies, Piret Viiklepp, Timothy H. Holtz, and Andrea Benedetti

Optimal sampling design and the accuracy of occupancy models
Henry Reich

Fair regression for health care spending
Anna Zink and Sherri Rose

Weight calibration to improve the efficiency of pure risk estimates from case-control samples bested in a cohort
Yei Eun Shin, Ruth M. Pfeiffer, Barry I. Graubard, and Mitchell H. Gail

Operating characteristics of the rank-based inverse normal transformation for quantitative trait analysis in genome-wide association studies
Zachary R. McCaw, Jacqueline M. Lane, Richa Saxena, Susan Redline, and Xihong Lin

Using sufficient direction factor model to analyze latent activities associated with breast cancer survival
Seungchul Baek, Yen-Yi Ho, and Yanyuan Ma

A unified evaluation of differential vaccine efficacy
Erin E. Gabriel, Michael C. Sachs, Dean A.Follmann, and Therese M-L. Andersson

Power analysis for cluster randomized trials with multiple binary co-primary endpoints
Dateng Li, Jing Cao, and Song Zhang

Discussion on "Testing small study effects in multivariate meta-analysis," by Chuan Hong, Georgia Salanti, Sally Morton, Richard Riley, Haitao Chu, Stephen E. Kimmel and Yong Chen
Hans C. van Houwelingen

ROC-guided survival trees and ensembles
Yifei Sun, Sy Han Chiou, and Mei-Cheng Wang

Relapse or reinfection: Classification of malaria infection using transition likelihoods
Feng-Chang Lin, Quefeng Li, and Jessica Lin

PA-CRM: A continuous reassessment method for pediatric Phase I oncology trials with concurrent adult trials
Yimei Li and Ying Yuan

Simple outlier detection for a multi-environmental field trial
Emi Tanaka

Discussion on "Assessing the goodness of fit of logistic regression models in large samples: A modification of the Hosmer-Lemeshow test" by Giovanni Nattino, Michael L. Pennell, and Stanley Lemeshow
Li-Ching Chen and Jiun-Yi Wang

Discussion on "Testing small study effects in multivariate meta-analysis," by Chuan Hong, Georgia Salanti, Sally Morton, Richard Riley, Haitao Chu, Stephen E. Kimmel and Yong Chen
Hisashi Noma

Discussion on "Horseshoe-Based Bayesian Nonparametric Estimation of Effective Population Size Trajectories" by James R. Faulkner, Andrew F. Magee, Beth Shapiro, and Vladimir N. Minin
Lorenzo Cappello, Swarnadip Ghosh, and Julia A. Palacios

Highly efficient stepped wedge designs for clusters of unequal size
J.N.S. Matthews

Constructing confidence intervals for selected parameters
Haibing Zhou and Xinping Cui

Non-negative decomposition of functional count data
Daniel Backenroth, Russell T. Shinohara, Jennifer A. Schrack, and Jeff Goldsmith

Objective prior distributions for Jolly-Seber models of zero-augmented data
Robert M. Dorazio

On using electronic health records to improve optimal treatment rules in randomized trials
Peng Wu, Donglin Zeng, Haoda Fu, and Yuanjia Wang

Partial Least Squares Method for Functional Joint Models with an application to the Alzheimers Disease Neuroimaging Initiative Study
Yue Wang, Joseph G. Ibrahim, and Hongtu Zhu

Discussion on "Predictively consistent prior effective sample sizes," by Beat Neuenschwander, Sebastian Weber, Heinz Schmidli, and Anthony O’Hagan
Gary L. Rosner and Peter Mueller

Discussion on "Predictively consistent prior effective sample sizes," by Beat Neuenschwander, Sebastian Weber, Heinz Schmidli, and Anthony O’Hagan
Alexander Kaizer and John Kittelson

Discussion on “Predictively consistent prior effective sample sizes,” by Beat Neuenschwander, Sebastian Weber, Heinz Schmidli, and Anthony O’Hagan
Yeonhee Park and Ruitao Lin

Bayesian modeling of multiple structural connectivity networks during the progression of Alzheimer’s disease
Christine B. Peterson, Nathan Osborne, Francesco C. Stingo, Pierrick Bourgeat, James D. Doecke, and Marina Vannucci

Doubly robust tests of exposure effects under high-dimensional confounding
Oliver Dukes, Vahe Avagyan, and Stijn Vansteelandt

Discussion on "Testing small study effects in multivariate meta-analysis," by Chuan Hong, Georgia Salanti, Sally Morton, Richard Riley, Haitao Chu, Stephen E. Kimmel and Yong Chen
James R. Carpenter, Gerta Rucker, and Guido Schwarzer

Semiparametric modelling and estimation of covariate-adjusted dependence between bivariate recurrent events
Jing Ning, Chunyan Cai, Yong Chen, Xuelin Huang, and Mei-Cheng Wang

Censored quantile regression model with time-varying covariates under length-biased sampling
Zexi Cai and Tony Sit

On symmetric semiparametric two-sample problem
Moming Li, Guoqing Diao, Jing Qin

A Bayesian Multi-Risks Survival (MRS) model in the presence of double censorings
Mario de Castro, Ming-Hui Chen, Yuanye Zhang, and Anthony V. D’Amico

Discussion on "Predictively consistent prior effective sample sizes," by Beat Neuenschwander, Sebastian Weber, Heinz Schmidli, and Anthony O’Hagan
Atanu Biswas and Jean-Francois Angers

A Bayesian nonparametric testing procedure for paired samples
Luz Adriana Pereira, Daniel Taylor-Rodriguez, and Luis Gutierrez

On the empirical choice of the time window for restricted mean survival time
Lu Tian, Hua Jin, Hajime Uno, Ying Lu, Bo Huang, Keaven Anderson, and L. J. Wei

Estimating individualized treatment rules with risk constraint
Xinyang Huang, and Jin Xu

Nonparametric estimation of distributions and diagnostic accuracy based on group-tested results with differential misclassification
Wei Zhang, Aiyi Liu, Qizhai Li, and Paul S. Albert

Rejoinder to “CACE and meta-analysis (Letter to the editor)” by Stuart Baker
Jincheng Zhou, James S. Hodges, and Haitao Chu

Relative efficiency of using summary versus individual data in random-effects meta-analysis
Ding-Geng Chen, Dungang Liu, Xiaoyi Min, and Heping Zhang

A Bayesian nonparametric model for zero-inflated outcomes: prediction, clustering, and causal estimation
Arman Oganisian, Nandita Mitra, and Jason A. Roy

Variable selection in joint frailty models of recurrent and terminal events
Dongxiao Han, Xiaogang Su, Liuquan Sun, Zhou Zhang, and Lei Liu

Marginal analysis of multiple outcomes with informative cluster size
A. A. Mitani, E. K. Kaye, and K. P. Nelson

Testing tumors from different anatomic sites for clonal relatedness using somatic mutation data
Irina Ostrovnaya, Audrey Mauguen, Venkatraman E. Seshan, and Colin B. Begg

Improving inference for nonlinear state-space models of animal population dynamics given biased sequential life stage data
Leo Polansky, Ken B. Newman, and Lara Mitchell

Dynamic inference in general nested case-control designs
J. Feifel and D. Dobler

Rejoinder to "Predictively consistent prior effective sample sizes," by Beat Neuenschwander, Sebastian Weber, Heinz Schmidli, and Anthony O’Hagan
Beat Neuenschwander, Sebastian Weber, Heinz Schmidli, and Anthony O’Hagan

A Bayesian spatial model for imaging genetics
Yin Song, Shufei Ge, Jiguo Cao, Liangliang Wang, and Farouk Salim Nathoo

Rejoinder to "Assessing the goodness of fit of logistic regression models in large samples: A modification of the Hosmer-Lemeshow test,"
Giovanni Nattino, Michael L. Pennell, and Stanley Lemeshow

Ensemble clustering for step data via binning
Ja-Yoon Jang, Hee-Seok Oh, Yaeji Lim, and Ken Cheung

Bayesian analysis of survival data with missing censoring indicators
Naomi Brownstein, Veronica Bunn, Luis M. Castro, and Debajyoti Sinha

Case contamination in electronic health records-based case-control studies
Lu Wang, Jill Schnall, Aeron Small, Rebecca A. Hubbard, Jason H. Moore, Scott M. Damrauer, and Jinbo Chen

A Joint Modeling Approach for Analyzing Marker Data in the Presence of a Terminal Event
Jie Zhou, Xin Chen, Xinyuan Song, and Liuquan Sun

Bayesian latent multi-state modeling for non-equidistant longitudinal electronic health records
Y. Luo, D. A. Stephens, A. Verma, and D. L. Buckeridge

Rejoinder to “Comment on “Wang et al. (2005), Robust Estimating Functions and Bias Correction for Longitudinal Data Analysis” by Nicola Lunardon and Giovanna Menardi
You-Gan Wang, Xu Lin, and Min Zhu