Papers to Appear

Cover image: Loa loa, or "eye worm," is a tropical disease that is highly endemic in West Africa. The figure shows the predicted Loa Loa prevalence and the probability that the prevalence exceeds a 20% threshold as obtained from two geostatistical models, each of which is fitted to a bivariate outcome consisting of a microscopy test and a questionnaire-based test. Model 2 is more flexible than Model 1 in that it allows the two diagnostics to exhibit different spatial patterns. The picture is taken from one of two applications that the paper uses to illustrate a novel framework for the development of multivariate geostatistical models for data collected using multiple diagnostics. This comes from Figure 2 in the article authored by Benjamin Amoah, Peter J. Diggle, and Emanuele Giorgi, and entitled "A geostatistical framework for combining spatially referenced disease prevalence data from multiple diagnostics."

Biometric Methodology

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

Structured gene-environment interaction analysis

Mengyun Wu, Qingzhao Zhang, and Shuangge Ma

Testing Independence Between two Random Sets for the Analysis of Colocalization in Bio-Imaging

Frederic Lavancier, Thierry Pecot, Liu Zengzhen, and Charles Kervrann

Building Generalized Linear Models with Ultrahigh Dimensional Features: A Sequentially Conditional Approach

Qi Zheng, Hyokyoung G. Hong, and Yi Li

Integrative factorization of bidimensionally linked matrices

Jun Young Park, and Eric F. Lock

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 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

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

Robust inference on the average treatment effect using the outcome highly adaptive lasso

Cheng Ju, David Benkeser, and Mark J. van der Laan

Robust Inference for the Stepped Wedge Design

James P. Hughes, Patrick J. Heagerty, Fan Xia, and Yuqi Ren

Semiparametric Mixed-Scale Models Using Shared Bayesian Forests

Antonio R. Linero, Debajyoti Sinha, and Stuart R. Lipsitz

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

A geostatistical framework for combining spatially referenced disease prevalence data from multiple diagnostics

Benjamin Amoah, Peter J. Diggle, and Emanuele Giorgi

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

Adaptive treatment allocation for comparative clinical studies with recurrent events data

Jingya Gao, Pei-Fang Su, Feifang Hu, and Siu Hung Cheung

A response-adaptive randomization procedure for multi-armed clinical trials with normally distributed outcomes

S. Faye Williamson, and Sofia S. Villar

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

Randomization inference with general interference and censoring

Wen Wei Loh, Michael G. Hudgens, John D. Clemens, Mohammad Ali, and Michael E. Emch

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

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

Improving estimation efficiency for regression with MNAR covariates

Menglu Che, Peisong Han, and Jerald F. Lawless

Biometric Practice

A general framework for modelling population abundance data

P. Besbeas and B. J. T. Morgan

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

An adaptive trial design to optimize dose-schedule regimes with delayed outcomes

Ruitao Lin, Peter F. Thall, and Ying Yuan

Bayesian Data Integration and Variable Selection for Pan-Cancer Survival Prediction using Protein Expression Data

Arnab Kumar Maity, Anirban Bhattacharya, Bani K. Mallick, and Veerabhadran Baladandayuthapani

Quantification of prior impact in terms of effective current sample size

Manuel Wiesenfarth and Silvia Calderazzo

Permutation inference methods for multivariate meta-analysis

Hisashi Noma, Kengo Nagashima, and Toshi A. Furukawa

Biclustering Via Sparse Clustering

Erika S. Helgeson, Qian Liu, Guanhua Chen, Michael R. Kosorok, and Eric Bair

Book reviews

Multistate Models for the Analysis of Life History Data 1st Edition (Richard J. Cook and Jerald F. Lawless)

Reviewed by Li-Pang Chen

Deep Learning with R (François Chollet and J. J. Allaire)

Reviewed by Sehee Kim

Spatial Data Analysis in Ecology and Agriculture Using R, 2nd Edition (Richard E. Plant)

Reviewed by Marie-Josée Fortin

Nonparametric Models for Longitudinal Data: With Implementation in R, 1st Edition (Colin O. Wu and Xin Tian)

Reviewed by Mohammed Chowdhury

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

Horseshoe-Based Bayesian Nonparametric Estimation of Effective Population Size Trajectories

James R. Faulkner, Andrew F. Magee, Beth Shapiro, and Vladimir N. Minin

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

Rejoinder to "Horseshoe-Based Bayesian Nonparametric Estimation of Effective Population Size Trajectories"

James R. Faulkner, Andrew F. Magee, Beth Shapiro, and Vladimir N. Minin

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

Nicola Lunardon and Giovanna Menardi

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

CACE and meta-analysis (Letter to the editor)

Stuart Baker

Rejoinder to “CACE and meta-analysis (Letter to the editor)” by Stuart Baker

Jincheng Zhou, James S. Hodges, and Haitao Chu

Reader Reaction: On continuous-time capture-recapture in closed populations

W. Zhang, and Simon Bonner

Rejoinder to "On continuous-time capture-recapture in closed populations"

Matthew Schofield and Richard Barker

Reader Reaction: Robustness of ANCOVA in randomised trials with unequal randomisation

Jonathan W. Bartlett

Rejoinder to "Robustness of ANCOVA in randomized trials with unequal randomization" by Jonathan W. Bartlett

Bingkai Wang, Elizabeth L. Ogburn, and Michael Rosenblum

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

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

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

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

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

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

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

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

Testing small study effects in multivariate meta-analysis

Chuan Hong, Georgia Salanti, Sally Morton, Richard Riley, Haitao Chu, Stephen E. Kimmel, and Yong Chen

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

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 "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

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

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

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

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

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

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

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

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

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

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

A Bayesian spatial model for imaging genetics

Yin Song, Shufei Ge, Jiguo Cao, Liangliang Wang, and Farouk Salim Nathoo

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

Exploiting non-systematic covariate monitoring to broaden the scope of evidence about the causal effects of adaptive treatment strategies

Noémi Kreif, Oleg Sofrygin, Julie Schmittdiel, Alyce Adams, Richard Grant, Zheng Zhu, Mark van der Laan, and Romain Neugebauer

Analyzing wearable device data using marked point processes

Yuchen Yang and Mei-Cheng Wang

Transporting stochastic direct and indirect effects to new populations

Kara E. Rudolph, Jonathan Levy, and Mark J. van der Laan

On computation of semi-parametric maximum likelihood estimators with shape constraints

Yudong Wang, Zhi-Sheng Ye, and Hongyuan Cao

A powerful procedure that controls the false discovery rate with directional information

Zhaoyang Tian, Kun Liang, and Pengfei Li

Adaptive treatment and robust control

Q. Clairon, R. Henderson, N. J. Young, E. D. Wilson, and C. J. Taylor

Retrospective score tests versus prospective score tests for genetic association with case-control data

Yukun Liu, Pengfei Li, Lei Song, Kai Yu, and Jing Qin

Upper bound estimators of the population size based on ordinal models for capture-recapture experiments

Marco Alfo, Dankmar Boehning, and Irene Rocchetti

Bayesian inference of causal effects from observational data in Gaussian graphical models

Federico Castelletti, and Guido Consonni

Efficient screening of predictive biomarkers for individual treatment selection

Shonosuke Sugasawa, and Hisashi Noma

Parameter estimation for discretely-observed linear birth-and-death processes

Anthony Davison, Sophie Hautphenne, and Andrea Kraus

Zero-inflated Poisson Factor Model with Application to Microbiome Read Counts

Tianchen Xu, Ryan T. Demmer, and Gen Li

A Bayes factor approach with informative prior for rare genetic variant analysis from next generation sequencing data

Jingxiong Xu, Wei Xu, and Laurent Briollais

Approval policies for modifications to machine learning-based software as a medical device: A study of bio-creep

Jean Feng, Scott Emerson, and Noah Simon

Repeated Measures Random Forests (RMRF): Identifying factors associated with nocturnal hypoglycemia

Peter Calhoun, Richard A. Levine, and Juanjuan Fan

Generalized reliability based on distances

Meng Xu, Philip Reiss, and Ivor Cribben

Weighted regression analysis to correct for informative monitoring times and confounders in longitudinal studies

Janie Coulombe, Erica E. M. Moodie, and Robert W. Platt

A penalized structural equation modeling method accounting for secondary phenotypes for variable selection on genetically regulated expression from PrediXcan for Alzheimer’s disease

Ting-Huei Chen and Hanaa Boughal

A semi-parametric Bayesian approach to population finding with time-to-event and toxicity data in a randomized clinical trial

Satoshi Morita, Peter Mueller, and Hiroyasu Abe

Estimating and inferring the maximum degree of stimulus-locked time-varying brain connectivity networks

Kean Ming Tan, Junwei Lu, Tong Zhang, and Han Liu

Flexible link functions in a joint hierarchical Gaussian process model

Weiji Su, Xia Wang, and Rhonda D. Szczesniak

Estimating the burden of the opioid epidemic for adults and adolescents in Ohio counties

David Kline and Staci Hepler

Latent Ornstein-Uhlenbeck models for Bayesian analysis of multivariate longitudinal categorical responses

Trung Dung Tran, Emmanuel Lesaffre, Geert Verbeke, and Joke Duyck

Robust and efficient semi-supervised estimation of average treatment effects with application to electronic health records data

David Cheng, Ashwin Ananthakrishnan, and Tianxi Cai

Sensitivity analysis for subsequent treatments in confirmatory oncology clinical trials: a two-stage stochastic dynamic treatment regime approach

Yasuhiro Hagiwara, Tomohiro Shinozaki, Hirofumi Mukai, and Yutaka Matsuyama

Evaluation of longitudinal surrogate markers

Denis Agniel and Layla Parast

Quantile regression for survival data with covariates subject to detection limits

Tonghui Yu, Liming Xiang, and Huixia Judy Wang

A novel statistical method for modeling covariate effects in bisulfite sequencing derived measures of DNA methylation

Kaiqiong Zhao, Karim Oualkacha, Lajmi Lakhal-Chaieb, Aurelie Labbe, Kathleen Klein, Antonio Ciampi, Marie Hudson, and Ines Colmegna

The impact of misclassification on covariate-adaptive randomized clinical trials

Tong Wang and Wei Ma

A Bayesian hierarchical model for characterizing the diffusion of new antipsychotic drugs

Chenyang Gu, Haiden Huskamp, Julie Donohue, and Sharon-Lise Normand

Two-group Poisson-Dirichlet mixtures for multiple testing

Francesco Denti, Michele Guindani, Fabrizio Leisen, Antonio Lijoi, W. Duncan Wadsworth, and Marina Vannucci