Papers to Appear

Cover image: The figure shows the 2008 infection rates of enterovirus 71 (EV71), which affects the intestine of humans and can cause life-threatening neurological diseases, in the 309 townships of Taiwan that are largely separated by mountains and rivers or clumped in major metropolitan areas. The EV71 hotspots were clustered in urban areas but spread out in rural areas, which may be challenging to capture by the traditional spatial clustering methods. The authors developed a new approach to identifying clusters as spatially contiguous townships or as groups of townships with similar outcomes while accounting for potential risk factors and spatial correlation, effectively bridging spatial clustering and unsupervised classification. This comes fromFigure 1 in the article authored by Pei-Sheng Linand Jun Zhu, and entitled “A heterogeneity measure for cluster identification with application to disease mapping.

Biometric Methodology

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

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

An adaptive independence test for microbiome community data

Yaru Song, Hongyu Zhao, and Tao Wang

Simultaneous confidence corridors for mean functions in functional data analysis of imaging data

Yueying Wang, Guannan Wang, Li Wang, and R. Todd Ogden

Inference in MCMC step selection models

Theo Michelot, Paul G. Blackwell, Simon Chamaille-Jammes, and Jason Matthiopoulos

Penalized Survival Models for the Analysis of Alternating Recurrent Event Data

Lili Wang, Kevin He, and Douglas E. Schaubel

Cox Regression with Survival-Time-Dependent Missing Covariate Values

Yanyao Yi, Ting Ye, Menggang Yu, and Jun Shao

Adjusting for time-varying confounders in survival analysis using structural nested cumulative survival time models

Shaun Seaman, Oliver Dukes, Ruth Keogh, and Stijn Vansteelandt

Inverse probability weighting methods for Cox regression with right-truncated data

Bella Vakulenko-Lagun, Micha Mandel, and Rebecca A. Betensky

Sequential adaptive variables and subject selection for GEE methods

Zimu Chen, Zhanfeng Wang, and Yuan-chin Ivan Chang

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

Edward J. Bedrick

Equivalence of Regression Curves Sharing Common Parameters

Kathrin Mollenhoff, Frank Bretz, and Holger Dette

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

Biometric Practice

Discussion Papers

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

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

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

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

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

Alexander Kaizer and John Kittelson

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

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

Gary L. Rosner and Peter Mueller

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

Analysis of secondary phenotypes in multi-group association studies

Fan Zhou, Haibo Zhou, Tengfei Li, and Hongtu Zhu

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

Designing precision medicine trials to yield greater population impact

Ying-Qi Zhao and Michael L. LeBlanc

The profile inter-unit reliability

Kevin He, Claudia Dahlerus, Lu Xia, Yanming Li, and John D. Kalbfleisch

Reader Reaction

Sharp bounds on the relative treatment effect for ordinal outcomes

Jiannan Lu, Yunshu Zhang, and Peng Ding


Correction to "Doubly-robust dynamic treatment regimen estimation via weighted least squares” by Michael P. Wallace and Erica E. M. Moodie; DOI 10.1111/biom.12306, September 2015

Book review

Bayesian Statistical Methods (Brian J. Reich and Sujit K. Ghosh)

Reviewed by Becky Tang and Amy H. Herring

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

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

Min Lu and Hemant Ishwaran

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

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

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

Discussion on "Approval policies for modifications to machine learning-based software as a medical device: A study of bio-creep" by Jean Feng, Scott Emerson, and Noah Simon

Gene Pennello, Berkman Sahiner, Alexej Gossmann, and Nicholas Petrick

Discussion on "Approval policies for modifications to machine learning-based software as a medical device: A study of bio-creep" by Jean Feng, Scott Emerson, and Noah Simon

Sherri Rose

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

Optimality of testing procedures for survival data in the non-proportional hazards setting

Andrea Arfe, Brian Alexander, and Lorenzo Trippa

Developing and evaluating risk prediction models with panel current status data

Stephanie Chan, Xuan Wang, Ina Jazic, Sarah Peskoe, Yingye Zheng, and Tianxi Cai

Structural factor equation models for causal network construction via directed acyclic mixed graphs

Yan Zhou, Peter X.K. Song, and Xiaoquan Wen

Batch Bayesian optimization design for optimizing a neurostimulator

Adam Kaplan and Thomas A. Murray

Semiparametric regression calibration for general hazard models in survival analysis with covariate measurement error; surprising performance under linear hazard

Ching-Yun Wang, and Xiao Song

Horvitz–Thompson-like estimation with distance-based detection probabilities for circular plot sampling of forests

Kasper Kansanen, Petteri Packalen, Matti Maltamo, and Lauri Mehtatalo

Estimating the optimal timing of surgery from observational data

Xiaofei Chen, Daniel F. Heitjan, Gerald Greil, and Haekyung Jeon-Slaughter

Spatial regression and spillover effects in cluster randomised trials with count outcomes

Karim Anaya-Izquierdo and Neal Alexander

Scalable Bayesian matrix normal graphical models for brain functional networks

Suprateek Kundu and Benjamin B. Risk

A constrained single-index regression for estimating interactions between a treatment and covariates

Hyung Park, Eva Petkova, Thaddeus Tarpey, and Todd R. Ogden

Parametric g-formula implementations for causal survival analyses

Lan Wen, Jessica G. Young, James M. Robins, and Miguel A. Hernan

A multiple robust propensity score method for longitudinal analysis with intermittent missing data

Chixiang Chen, Biyi Shen, Aiyi Liu, Rongling Wu, and Ming Wang

A Bayesian multivariate mixture model for skewed longitudinal data with intermittent missing observations: An application to infant motor development

Carter Allen, Sara E Benjamin-Neelon, and Brian Neelon

Semiparametric estimation of cross-covariance functions for multivariate random fields

Ghulam A. Qadir and Ying Sun

Resampling-based confidence intervals for model-free robust inference on optimal treatment regimes

Yunan Wu and Lan Wang

Nonparametric analysis of nonhomogeneous multi-state processes based on clustered observations

Giorgos Bakoyannis

Approximate Bayesian inference for case-crossover models

Alex Stringer, Patrick Brown, and Jamie Stafford

Estimation of incubation period and generation time based on observed length-biased epidemic cohort with censoring for COVID-19 outbreak in China

Yuhao Deng, Chong You, Yukun Liu, Jing Qin, and Xiao-Hua Zhou

Maximum likelihood abundance estimation from capture-recapture data when covariates are missing at random

Yang Liu, Yukun Liu, Pengfei Li, and Lin Zhu

Post-stratification fusion learning in longitudinal data analysis

Lu Tang and Peter Song

Analysis of noisy survival data with graphical proportional hazards measurement error model

Li-Pang Chen and Grace Y. Yi

Statistical inference for natural language processing algorithms when predicting type 2 diabetes using electronic health record notes

Brian L. Egleston, Tian Bai, Richard J. Bleicher, Taylor Stanford, Michael Lutz, and Slobodan Vucetic

Compositional knockoff filter for high-dimensional regression analysis of microbiome data

Arun Srinivasan, Lingzhou Xue, and Xiang Zhan

Variance estimation in inverse probability weighted Cox models

Di Shu, Jessica Young, Sengwee Toh, and Rui Wang

Joint Penalized Spline Modeling of Multivariate Longitudinal Data, with Application to HIV-1 RNA Load Levels and CD4 Cell Counts

Lihui Zhao, Tom Chen, Vladimir Novitsky, and Rui Wang

Tailored optimal post-treatment surveillance for cancer recurrence

Rui Chen and Menggang Yu

Bayesian compositional regression with structured priors for microbiome feature selection

Liangliang Zhang, Yushu Shi, Robert R. Jenq, Kim-Anh Do, and Christine B. Peterson

Cross-component registration for multivariate functional data, with application to growth curves

Cody Carroll, Hans-Georg Müller, and Alois Kneip

Cluster non-Gaussian functional data

Qingzhi Zhong, Huazhen Lin, and Yi Li

Ultra-high dimensional semiparametric longitudinal data analysis

Brittany Green, Heng Lian, Yan Yu, and Tianhai Zu

A weak-signal-assisted procedure for variable selection and statistical inference with an informative subsample

Fang Fang, Jiwei Zhao, S. Ejaz Ahmed, and Annie Qu

A Bayesian adaptive Phase I/II clinical trial design with late-onset competing risk outcomes

Yifei Zhang, Sha Cao, Chi Zhang, Ick Hoon Jin, and Yong Zang

Causal mediation of semicompeting risks

Yen-Tsung Huang

Multimodal neuroimaging data integration and pathway analysis

Yi Zhao, Lexin Li, and Brian S. Caffo

Bayesian variable selection for non-Gaussian responses: A marginally-calibrated Copula approach

Nadja Klein and Michael Stanley Smith

Covariate-driven factorization by thresholding for multi-block data

Xing Gao, Sungwon Lee, Gen Li, and Sungkyu Jung

Nonparametric trend estimation in functional time series with application to annual mortality rates

Israel Martínez-Hernández and Marc G. Genton

Regularized matrix data clustering and its application to image analysis

Xu Gao, Weining Shen, Liwen Zhang, Jianhua Hu, Norbert J. Fortin, Ron D. Frostig, and Hernando Ombao

A batch-effect adjusted Simon’s two-stage design for cancer vaccine clinical studies

Chenguang Wang, Zhixin Wang, Gary L. Rosner, Warner K. Huh, Richard B.S. Roden, and Sejong Bae

Combining primary cohort data with external aggregate information without assuming comparability

ZiqiChen, Jing Ning, Yu Shen, and Jing Qin

Post-Selection Inference for Changepoint Detection Algorithms with Application to Copy Number Variation Data

Sangwon Hyun, Kevin Z. Lin, Max G'Sell, and Ryan J. Tibshirani