Papers to Appear

Cover image: Genes do not function independently, and the coordination among them can be described using a network structure. Over the past decades, there has been a considerable accumulation of information on how one gene may be related to another one. A novel approach has been developed to mine information contained in the published literature and accommodate it in gene network construction in a highly flexible and powerful way. This figure, constructed based on The Cancer Genome Atlas (TCGA) data, shows the network structure for a selected set of cancer genes for lung squamous cell carcinoma (LUSC) patients. This comes from Figure 3 in the article authored by Huangdi Yi, Qingzhao Zhang, Cunjie Lin, and Shuangge Ma, and entitled "Information-incorporated Gaussian graphical model for gene expression data."

Biometric Methodology

Non-parametric estimation of Spearman’s rank correlation with bivariate survival data

Svetlana Eden, Chun Li, and Bryan Shepherd

Joint model for survival and multivariate sparse functional data with application to a study of Alzheimer's disease

Cai Li, Luo Xiao, and Sheng Luo

Semiparametric estimation of the non-mixture cure model with auxiliary survival information

Bo Han, Ingrid Van Keilegom, and Xiaoguang Wang

Cox regression model under dependent truncation

Lior Rennert and Sharon X. Xie

Varying coefficient frailty models with applications in single molecular experiments

Ying Hung, Li-Hsiang Lin, and C. F. Jeff Wu

A generalized robust allele-based genetic association test

Lin Zhang and Lei Sun

On polygenic risk scores for complex traits prediction

Bingxin Zhao and Fei Zou

Information-incorporated Gaussian graphical model for gene expression data

Huangdi Yi, Qingzhao Zhang, Cunjie Lin, and Shuangge Ma

Gaussian graphical model-based heterogeneity analysis via penalized fusion

Mingyang Ren, Sanguo Zhang, Qingzhao Zhang, and Shuangge Ma

Bayesian spatial homogeneity pursuit for survival data with an application to the SEER respiratory cancer data

Lijiang Geng and Guanyu Hu

Geostatistical modeling of positive definite matrices: An application to diffusion tensor imaging

Zhou Lan, Brian Reich, Joseph Guinness, Dipankar Bandyopadhyay, Liangsuo Ma, and F. Gerard Moeller

Spatial factor modeling: A Bayesian matrix-normal approach for misaligned data

Lu Zhang and Sudipto Banerjee

Simultaneous estimation of cluster number and feature sparsity in high-dimensional cluster analysis

Yujia Li, Xiangrui Zeng, Chien-Wei Lin, and George C. Tseng

A kernel regression model for panel count data with nonparametric covariate functions

Yang Wang and Zhangsheng Yu

A model for analysing clustered occurrence data

Wen-Han Hwang, Richard Huggins, and Jakub Stoklosa

Sparse linear discriminant analysis for multi-view structured data

Sandra E. Safo, Eun Jeong Min, and Lillian Haine

Causal interaction trees: Finding subgroups with heterogeneous treatment effects in observational data

Jiabei Yang, Issa J. Dahabreh, and Jon A. Steingrimsson

Recruitment prediction for multi-centre clinical trials based on a hierarchical Poisson-gamma model: asymptotic analysis and improved intervals

Rachael Mountain and Chris Sherlock

Global sensitivity analysis of randomized trials with non-monotone missing binary outcomes: application to studies of substance use disorders

Daniel O. Scharfstein, Jon Steingrimsson, Aidan McDermott, Chenguang Wang, Souvik Ray, Aimee Campbell, Edward Nunes, and Abigail Matthews

Variance reduction in the inverse probability weighted estimators for the average treatment effect using the propensity score

J. G. (Jiangang) Liao and Charles Rohde

Regression-based negative control of homophily in dyadic peer effect analysis

Lan Liu and Eric Tchetgen Tchetgen

Synthesizing external aggregated information in the presence of population heterogeneity: A penalized empirical likelihood approach

Ying Sheng, Yifei Sun, Chiung-Yu Huang, and Mi-Ok Kim

Determination and estimation of optimal quarantine duration for infectious diseases with application to data analysis of COVID-19

Ruoyu Wang and Qihua Wang

Biometric Practice

Small-sample inference for cluster-based outcome-dependent sampling schemes in resource-limited settings: investigating low birthweight in Rwanda

Sara Sauer, Bethany Hedt-Gauthier, Claudia Rivera-Rodriguez, and Sebastien Haneuse

Pursuing sources of heterogeneity in modeling clustered population

Yan Li, Chun Yu, Yize Zhao, Weixin Yao, Robert H. Aseltine, and Kun Chen

Bayesian data fusion: probabilistic sensitivity analysis for unmeasured confounding using informative priors based on secondary data

Leah Comment, Brent Coull, Corwin M. Zigler, and Linda Valeri

A Bayesian spatial model for imaging genetics

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

EMBRACE: an EM-based bias reduction approach through Copas-model estimation for quantifying the evidence of selective publishing in network meta-analysis

Arielle K. Marks-Anglin, Chongliang Luo, Jin Piao, Mary Beth Connolly Gibbons, Christopher Schmid, Jing Ning, and Yong Chen

Modeling dynamic correlation in zero-inflated bivariate count data with applications to single-cell RNA sequencing data

Zhen Yang and Yen-Yi Ho

Inverse probability weighted estimators of vaccine effects accommodating partial interference and censoring

Sujatro Chakladar, Samuel P. Rosin, Michael G. Hudgens, M. Elizabeth Halloran, John D. Clemens, Mohammad Ali, and Michael E. Emch

The Tukey trend test: Multiplicity adjustment using multiple marginal models

Frank Schaarschmidt, Christian Ritz, and Ludwig Hothorn

Identifying regions of inhomogeneities in spatial processes via an M-RA and mixture priors

Marco H. Benedetti, Veronica J. Berrocal, and Naveen N. Narisetty


Correction to “A penalized framework for distributed lag non-linear models" by Antonio Gasparrini, Fabian Scheipl, Ben Armstrong, and Michael G. Kenward; 73, 938–948, September 2017

Book reviews

Bayesian Compendium (Marcel van Oijen)

Reviewed by Sayan Dasgupta

Using R for Biostatistics (Thomas W. MacFarland and Jan M. Yates)

Reviewed by Shu-Hui Wen

Predictive Analytics: Parametric Models for Regression and Classification Using R (Ajit C. Tamhane)

Reviewed by Yu-Jyun Huang

Cure Models: Methods, Applications, and Implementation (Yingwei Peng and Binbing Yu)

Reviewed by Satrajit Roychoudhury

Handbook of Meta-Analysis (Christopher H. Schmid, Theo Stijnen, and Ian R. White)

Reviewed by Li-Pang Chen

Papers to appear in future issues of Biometrics

Distributional independent component analysis for diverse neuroimaging modalities

Ben Wu, Subhadip Pal, Jian Kang, and Ying Guo

Discussion on "Distributional independent component analysis for diverse neuroimaging modalities" by Ben Wu, Subhadip Pal, Jian Kang, and Ying Guo

Heather Shappell and Sean L. Simpson

Discussion on "Distributional independent component analysis for diverse neuroimaging modalities" by Ben Wu, Subhadip Pal, Jian Kang, and Ying Guo

Amanda Mejia

Discussion on "Distributional independent component analysis for diverse neuroimaging modalities" by Ben Wu, Subhadip Pal, Jian Kang, and Ying Guo

Kan Keeratimahat and Thomas E. Nichols

Discussion on "Distributional independent component analysis for diverse neuroimaging modalities" by Ben Wu, Subhadip Pal, Jian Kang, and Ying Guo

Beatrijs Moerkerke and Ruth Seurinck

Rejoinder to "Distributional independent component analysis for diverse neuroimaging modalities"

Ben Wu, Subhadip Pal, Jian Kang, and Ying Guo

Integrative analysis of multiple case-control studies

Han Zhang, Lu Deng, William Wheeler, Jing Qin, and Kai Yu

Restricted function-on-function linear regression model

Ruiyan Luo and Xin Qi

A transformation-free linear regression for compositional outcomes and predictors

Jacob Fiksel, Scott L. Zeger, and Abhirup Datta

Inferring UK COVID-19 fatal infection trajectories from daily mortality data: were infections already in decline before the UK lockdowns?

Simon N. Wood

Testing for association in multi-view network data

Lucy L. Gao, Daniela Witten, and Jacob Bien

Parameter inference for a stochastic kinetic model of expanded polyglutamine proteins

H. F. Fisher, R. J. Boys, C. S. Gillespie, C. J. Proctor, and A. Golightly

Multivariate survival analysis in big data: a divide-and-combine approach

Wei Wang, Shou-En Lu, Jerry Q. Cheng, Minge Xie, and John B. Kostis

Bayesian analysis of coupled cellular and nuclear trajectories for cell migration

Saptarshi Chakraborty, Tian Lan, Yiider Tseng, and Samuel W.K. Wong

A consistent version of distance covariance for right-censored survival data and its application in hypothesis testing

Dominic Edelmann, Thomas Welchowski, Axel Benner

Stratified Cox models with time-varying effects for national kidney transplant patients: A new block-wise steepest ascent method

Kevin He, Ji Zhu, Jian Kang, and Yi Li

Semiparametric analysis of clustered interval-censored survival data using Soft Bayesian Additive Regression Trees (SBART)

Piyali Basak, Antonio Ricardo Linero, Debajyoti Sinha, and Stuart R. Lipsitz

Optimization of sampling designs for pedigrees and association studies

Olivier David, Arnaud Le Rouzic, and Christine Dillmann

Feature screening with large scale and high dimensional survival data

Grace Yi, Wenqing He, and Raymond J. Carroll

Regression with interval-censored covariates: application to cross-sectional incidence estimation

Doug Morrison, Oliver Laeyendecker, and Ron Brookmeyer

Efficient detection and classification of epigenomic changes under multiple conditions

Pedro L. Baldoni, Naim U. Rashid, and Joseph G. Ibrahim

Quantifying direct and indirect effect for longitudinal mediator and survival outcome using joint modeling approach

Cheng Zheng and Lei Liu

Spatial+: a novel approach to spatial confounding

Emiko Dupont, Simon N. Wood, and Nicole H. Augustin

Discussion on "Spatial+: a novel approach to spatial confounding" by Emiko Dupont, Simon N. Wood, and Nicole H. Augustin

Brian J. Reich, Shu Yang, and Yawen Guan

Discussion on "Spatial+: a novel approach to spatial confounding" by Emiko Dupont, Simon N. Wood, and Nicole H. Augustin

Isa Marques and Thomas Kneib

Discussion on "Spatial+: a novel approach to spatial confounding" by Emiko Dupont, Simon N. Wood, and Nicole H. Augustin

Alexandra M. Schmidt

Discussion on "Spatial+: a novel approach to spatial confounding" by Emiko Dupont, Simon N. Wood, and Nicole H. Augustin

Georgia Papadogeorgou

Rejoinder to the discussions of "Spatial+: a novel approach to spatial confounding"

Emiko Dupont, Simon N. Wood, and Nicole H. Augustin

Semiparametric estimation of structural nested mean models with irregularly spaced longitudinal observations

Shu Yang

Estimating vaccine efficacy over time after a randomized study is unblinded

Anastasios A. Tsiatis and Marie Davidian

Discussion on "Estimating vaccine efficacy over time after a randomized study is unblinded" by Anastasios A. Tsiatis and Marie Davidian

M. Elizabeth Halloran

Discussion on "Estimating vaccine efficacy over time after a randomized study is unblinded" by Anastasios A. Tsiatis and Marie Davidian

Holly Janes, Fei Gao, and Alex Luedtke

Discussion on "Estimating vaccine efficacy over time after a randomized study is unblinded" by Anastasios A. Tsiatis and Marie Davidian

Dean Follmann

Rejoinder to "Estimating Vaccine Efficacy Over Time After a Randomized Study is Unblinded"

Anastasios A. Tsiatis and Marie Davidian

Modeling semi-competing risks data as a longitudinal bivariate process

Daniel Nevo, Deborah Blacker, Eric B. Larson, and Sebastien Haneuse

Utilizing stability criteria in choosing feature selection methods yields reproducible results in microbiome data

Lingjing Jiang, Niina Haiminen, Anna-Paola Carrieri, Shi Huang, Yoshiki Vazquez-Baeza, Laxmi Parida, Ho-Cheol Kim, Austin D. Swafford, Rob Knight, and Loki Natarajan

Non-parametric estimation in an illness-death model with component-wise censoring

Anne Eaton, Yifei Sun, James Neaton, and Xianghua Luo

Addressing patient heterogeneity in disease predictive model development

Xu Gao, Weining Shen, Jing Ning, Ziding Feng, and Jianhua Hu

Non-homogeneous Markov chain for estimating the cumulative risk of multiple false positive screening tests

Marzieh Kadkhodaei Golmakani, Rebecca A. Hubbard, and Diana Miglioretti

Simulation-based estimators of analytically intractable causal effects

Antonio R. Linero

A semi-parametric model for between-subject attributes: applications to beta-diversity of microbiome data

J. Liu, X. Zhang, T. Chen, T. Wu, T. Lin, L. Jiang, S. Lang, L. Liu, L. Natarajan, J.X. Tu, T. Kosciolek, J. Morton, T. Nguyen, B. Schnabl, R. Knight, C. Feng, Y. Zhong, and X.M. Tu

Tensor envelope mixture model for simultaneous clustering and multiway dimension reduction

Kai Deng and Xin Zhang

Spatial correlation structures for detections of individuals in spatial capture-recapture models

Ben Courtney Stevenson, Rachel M. Fewster, and Koustubh Sharma

A multi-view model for relative and absolute microbial abundances

Brian D. Williamson, James P. Hughes, and Amy D. Willis

Sample size formula for general win ratio analysis

Lu Mao, KyungMann Kim, and Xinran Miao

A Bayesian nonparametric approach for inferring drug combination effects on mental health in people with HIV

Wei Jin, Yang Ni, Leah H. Rubin, Amanda B. Spence, and Yanxun Xu

WiSER: robust and scalable estimation and inference of within-subject variances from intensive longitudinal data

Christopher A. German, Janet S. Sinsheimer, Jin Zhou, and Hua Zhou

Group sequential testing for cluster randomization trials with time-to-event endpoint

Sin-Ho Jung and Jianghao Li

Bridging preference-based instrumental variable studies and cluster-randomized encouragement experiments: study design, noncompliance, and average cluster effect ratio

Bo Zhang, Siyu Heng, Emily J. MacKay, and Ting Ye

Estimating mean potential outcome under adaptive treatment length strategies in continuous time

Hao Sun, Ashkan Ertefaie, and Brent Johnson

Design-based properties of the nearest neighbour spatial interpolator and its bootstrap mean squared error estimator

Lorenzo Fattorini, Marzia Marcheselli, Caterina Pisani, and Luca Pratelli

Pool adjacent violators algorithm assisted learning with application on estimating optimal individualized treatment regimes

Baojiang Chen, Ao Yuan, and Jing Qin

Multivariate Bayesian clustering using covariate-informed components with application to boreal vegetation sensitivity

Henry R. Scharf, Ann Raiho, Sierra Pugh, Carl Roland, David Swanson, Sarah Stehn, and Mevin Hooten

Flexible use of Copula-type model for dose-finding in drug combination clinical trials

Koichi Hashizume, Jun Tshuchida, and Sozu Takashi,

Efficient odds ratio estimation under two-phase sampling using error-prone data from a multi-national HIV research cohort

Sarah C. Lotspeich, Bryan E. Shepherd, Gustavo G. C. Amorim, Pamela A. Shaw, and Ran Tao

Integration of survival data from multiple studies

Steffen Ventz, Rahul Mazumder, and Lorenzo Trippa

Joint modeling of zero-inflated longitudinal proportions and time-to-event data with application to a gut microbiome study

Jiyuan Hu, Chan Wang, Martin J. Blaser, and Huilin Li

A linear noise approximation for stochastic epidemic models fit to partially observed incidence counts

Jonathan Fintzi, Jon Wakefield, and Vladimir N. Minin

Another look at regression analysis using ranked set samples with application to an osteoporosis study

Nasrin Faraji, Mohammad Jafari Jozani, and Nader Nematollahi

Varying-coefficient regression analysis for pooled biomonitoring

Dewei Wang, Xichen Mou, and Yan Liu

Weak-instrument robust tests in two-sample summary-data Mendelian randomization

Sheng Wang and Hyunseung Kang

A semiparametric isotonic regression model for skewed distributions with application to DNA-RNA-protein analysis

Chenguang Wang, Ao Yuan, Leslie Cope, and Jing Qin

Sample size estimation for cancer randomized trials in the presence of heterogeneous populations

Derek Dinart, Carine Bellera, and Virginie Rondeau

Multidimensional molecular measurements-environment interaction analysis for disease outcomes

Yaqing Xu, Mengyun Wu, and Shuangge Ma

Reducing subspace models for large-scale covariance regression

Alexander M. Franks

On estimating optimal regime for treatment initiation time based on restricted mean residual lifetime

Xin Chen, Rui Song, Jiajia Zhang, Swann Arp Adams, Liuquan Sun, and Wenbin Lu

Analysis of local sensitivity to nonignorability with missing outcomes and predictors

Heng Chen and Daniel F. Heitjan

Binacox: automatic cut-point detection in high-dimensional Cox model with applications in genetics

Simon Bussy, Mokhtar Z. Alaya, Anne-Sophie Jannot, and Agathe Guilloux

Bivariate small area estimation for binary and Gaussian variables based on a conditionally specified model

Hao Sun, Emily Berg, and Zhengyuan Zhu

Bayesian adaptive trial design for a continuous biomarker with possibly non-Linear or non-monotone prognostic or predictive effects

Yusha Liu, John A. Kairalla, and Lindsay A. Renfro

Joint association and classification analysis of multi-view data

Yunfeng Zhang and Irina Gaynanova

Extracting brain disease-related connectome subgraphs by adaptive dense subgraph discovery

Qiong Wu, Xiaoqi Huang, Adam Culbreth, James Waltz, Elliot Hong, and Shuo Chen

Nonparametric estimation of the survival distribution under covariate-induced dependent truncation

Bella Vakulenko-Lagun, Jing Qian, Sy-Han Chiou, Nancy Wang, and Rebecca A. Betensky

Re-calibrating pure risk integrating individual data from two-phase studies with external summary statistics

Jiayin Zheng, Yingye Zheng, and Li Hsu

Simultaneous variable selection in regression analysis of multivariate interval-censored data

Liuquan Sun, Shuwei Li, Lianming Wang, Xinyuan Song, and Xuemei Sui

Sufficient dimension reduction for populations with structured heterogeneity

Jared D. Huling and Menggang Yu

Hierarchical cancer heterogeneity analysis based on histopathological imaging features

Mingyang Ren, Qingzhao Zhang, Sanguo Zhang, Tingyan Zhong, Jian Huang, and Shuangge Ma

Accounting for post-randomization variables in meta-analysis: A joint meta-regression approach

Qinshu Lian, Jing Zhang, James S. Hodges, Yong Chen, and Haitao Chu

Elastic priors to dynamically borrow information from historical data in clinical trials

Liyun Jiang, Lei Nie, and Ying Yuan

Simultaneous feature selection and outlier detection with optimality guarantees

Luca Insolia, Ana Kenney, Francesca Chiaromonte, and Giovanni Felici

Human disease clinical treatment network for the elderly: Analysis of the Medicare inpatient length of stay and readmission data

Hao Mei, Ruofan Jia, Guanzhong Qiao, Zhenqiu Lin, and Shuangge Ma

Accelerated failure time modeling via nonparametric mixtures

Byungtae Seo and Sangwook Kang

Latent group detection in functional partially linear regression models

Wu Wang, Ying Sun, and Huixia Judy Wang

Sensitivity analyses informed by tests for bias in observational studies

Paul R. Rosenbaum

SMIM: a unified framework of survival sensitivity analysis using multiple imputation and Martingale

Shu Yang, Yilong Zhang, Guanghan Frank Liu, and Qian Guan

Causal inference with outcomes truncated by death in multiarm studies

Shanshan Luo, Wei Li, and Yangbo He

Reader Reaction to "Outcome-adaptive lasso: variable selection for causal inference" by Shortreed and Ertefaie (2017)

Ismaila Balde, Yi Yang, and Genevieve Lefebvre

Rejoinder to "Reader Reaction to "Outcome-adaptive lasso: variable selection for causal inference" by Shortreed and Ertefaie (2017)"

Jeremiah Jones, Ashkan Ertefaie, and Susan M. Shortreed

Estimation of separable direct and indirect effects in continuous time

Torben Martinussen and Mats Julius Stensrud

Modelling publication bias and p-hacking

Jonas Moss and Riccardo De Bin

Interim monitoring in sequential multiple assignment randomized trials

Liwen Wu, Junyao Wang, and Abdus S. Wahed

On restricted mean time in favor of treatment

Lu Mao

Bayesian multiple index models for environmental mixtures

Glen McGee, Ander Wilson, Thomas F. Webster, and Brent A. Coull

Spectra in Low-Rank Localized Layers (SpeLLL) for interpretable time-frequency analysis

Marie Tuft, Martica H. Hall, and Robert T. Krafty

Variable selection in nonlinear function-on-scalar regression

Rahul Ghosal and Arnab Maity

A matching procedure for sequential experiments that iteratively learns which covariates improve power

Adam Kapelner and Abba Krieger

Dynamic logistic state-space prediction model for clinical decision making

Jiakun Jiang, Wei Yang, Erin M. Schnellinger, Stephen E. Kimmel, and Wensheng Guo

Instrumental variable estimation of complier causal treatment effect with interval-censored data

Shuwei Li and Limin Peng

Evaluating the association between latent classes and competing risks outcomes with multi-phenotype data

Teng Fei, John Hanfelt, and Limin Peng

Jackknife model averaging for high-dimensional quantile regression

Miaomiao Wang, Xinyu Zhang, Alan T. K. Wan, Kang You, and Guohua Zou

Generalized case-control sampling under generalized linear models

Jacob M. Maronge, Ran Tao, Jonathan S. Schildcrout, and Paul J. Rathouz

CASANOVA: Permutation inference in factorial survival designs

Marc Ditzhaus, Jon Genuneit, Arnold Janssen, and Markus Pauly

Bayesian non-parametric quantile process regression and estimation of marginal quantile effects

Steven G. Xu and Brian J. Reich

Estimating perinatal critical windows of susceptibility to environmental mixtures via structured Bayesian regression tree pairs

Daniel Mork and Ander Wilson

Adaptive enrichment designs with a continuous biomarker

Nigel Stallard

Discussion on "Adaptive enrichment designs with a continuous biomarker" by Nigel Stallard

Rachael V. Phillips and Mark J. van der Laan

Discussion on "Adaptive enrichment designs with a continuous biomarker" by Nigel Stallard

James M. S. Wason

Discussion on "Adaptive enrichment designs with a continuous biomarker" by Nigel Stallard

Christopher Jennison

Discussion on "Adaptive enrichment designs with a continuous biomarker" by Nigel Stallard

Nancy Flournoy and Sergey Tarima

Discussion on "Adaptive enrichment designs with a continuous biomarker" by Nigel Stallard

Nancy Flournoy and Sergey Tarima

Rejoinder to discussion on "Adaptive enrichment designs with a continuous biomarker"

Nigel Stallard

Logistic regression analysis of two-phase studies using generalized method of moments

Prosenjit Kundu and Nilanjan Chatterjee

Inference in response-adaptive clinical trials when the enrolled population varies over time

Massimiliano Russo, Steffen Ventz, Victoria Xin Wang, and Lorenzo Trippa

Improving efficiency of inference in clinical trials with external control data

Xinyu Li, Wang Miao, Fang Lu, and Xiao-Hua Zhou

A linear mixed model to estimate COVID-19-induced excess mortality

Johan Verbeeck, Christel Faes, Thomas Neyens, Niel Hens, Geert Verbeke, Patrick Deboosere, and Geert Molenberghs

A novel statistical test for treatment differences in clinical trials using a response adaptive forward looking Gittins Index Rule

Helen Yvette Barnett, Sofia S. Villar, Helena Geys, and Thomas Jaki

Integrating sample similarities into latent class analysis: A tree-structured shrinkage approach

Mengbing Li, Daniel E. Park, Maliha Aziz, Cindy M. Liu, Lance B. Price, and Zhenke Wu

An individual level infectious disease model in the presence of uncertainty from multiple, imperfect diagnostic tests

Caitlin Ward, Grant D. Brown, and Jacob J. Oleson

Non-iterative adjustment to regression estimators with population-based auxiliary information for semiparametric models

Fei Gao, and K. C. G. Chan

De-biased Lasso for generalized linear models with a diverging number of covariates

Lu Xia, Bin Nan, and Yi Li

Functional additive models for optimizing individualized treatment rules

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

A smoothed corrected score approach for proportional hazards model with misclassified discretized covariates induced by error-contaminated continuous time-dependent exposure

Xiao Song, Edward C. Chao, and Ching-Yun Wang

Sample size considerations for stepped wedge designs with subclusters

Kendra Davis-Plourde, Monica Taljaard, and Fan Li

A novel Bayesian functional spatial partitioning method with application to prostate cancer lesion detection using MRI

Maria Masotti, Lin Zhang, Ethan Leng, Greg J. Metzger, and Joseph S. Koopmeiners

Semiparametric additive time-varying coefficients model for longitudinal data with censored time origin

Yanqing Sun, Qiong Shou, Peter B. Gilbert, Fei Heng, and Xiyuan Qian

Covariate adjustment in continuous biomarker assessment

Ziyi Li, Yijian Huang, Dattatraya Patil, and Martin G. Sanda

Risk prediction with imperfect survival outcome information from electronic health records

Jue Hou, Stephanie F. Chan, Xuan Wang, and Tianxi Cai

Testing for heterogeneity in the utility of a surrogate marker

Layla Parast, Tianxi Cai, and Lu Tian

Selective prediction-set models with coverage rate guarantees

Jean Feng, Arjun Sondhi, Jessica Perry, and Noah Simon

Supervised two-dimensional functional principal component analysis with time-to-event outcomes and mammogram imaging data

Shu Jiang, Jiguo Cao, Bernard Rosner, and Graham A. Colditz

Estimation of the odds ratio in a proportional odds model with censored time-lagged outcome in a randomized clinical trial

Anastasios A. Tsiatis, Marie Davidian, and Shannon T. Holloway

Variable selection in regression-based estimation of dynamic treatment regimes

Zeyu Bian, Erica E.M. Moodie, Susan M. Shortreed, and Sahir Bhatnagar

Assessing intervention effects in a randomized trial within a social network

Shaina J. Alexandria, Michael G. Hudgens, and Allison E. Aiello

Improving trial generalizability using observational studies

Dasom Lee, Shu Yang, Lin Dong, Xiaofei Wang, Donglin Zeng, and Jianwen Cai

A formal causal interpretation of the case-crossover design

Zach Shahn, Miguel A. Hernan, and James M. Robins

Discussion on "A formal causal interpretation of the case-crossover design"

Per Kragh Andersen and Torben Martinussen

Discussion on "A formal causal interpretation of the case-crossover design"

Ruth M. Pfeiffer and Mitchell H. Gail

Discussion on "A formal causal interpretation of the case-crossover design"

Thomas Lumley

Rejoinder to Discussions

Zach Shahn, Miguel A. Hernan, and James M. Robins

Estimating cell type composition using isoform expression one gene at a time

Hillary M. Heiling, Douglas R. Wilson, Naim U. Rashid, Wei Sun, and Joseph G. Ibrahim

Design and analysis of two-phase studies with multivariate longitudinal data

Chiara Di Gravio, Ran Tao, and Jonathan S. Schildcrout

Ultra-high dimensional variable selection for doubly robust causal inference

Dingke Tang, Dehan Kong, Wenliang Pan, and Linbo Wang

Bayesian inference for stationary points in Gaussian process regression models for event-related potentials analysis

Cheng-Han Yu, Meng Li, Colin Noe, Simon Fischer-Baum, and Marina Vannucci

Inference for nonparanormal partial correlation via regularized rank-based nodewise regression

Haoyan Hu and Yumou Qiu

Neural networks for clustered and longitudinal data using mixed effects models

Francesca Mandel, Riddhi Pratim Ghosh, and Ian Barnett

Semiparametric count data regression for self-reported mental health

Daniel R. Kowal and Bohan Wu

A repeated measures approach to pooled and calibrated biomarker data

Abigail Sloan, Chao Cheng, Bernard Rosner, Regina G. Ziegler, Stephanie A. Smith-Warner, and Molin Wang

Bayesian nonparametric analysis of restricted mean survival time

Chenyang Zhang and Guosheng Yin

Generalized network structured models with mixed responses subject to measurement error and misclassification

Qihuang Zhang and Yun Grace Yi

Leveraging a surrogate outcome to improve inference on a partially missing target outcome

Zachary R. McCaw, Sheila M. Gaynor, Ryan Sun, and Xihong Lin

Screening methods for linear errors-in-variables models in high dimensions

Linh H. Nghiem, Francis K.C. Hui, Samuel Muller, and A.H. Welsh

Bayesian nonparametric analysis for the detection of spikes in noisy calcium imaging data

Laura D'Angelo, Antonio Canale, Zhaoxia Yu, and Michele Guindani

A joint fairness model with applications to risk predictions for under-represented populations

Hyungrok Do, Shinjini Nandi, Preston Putzel, Padhraic Smyth, and Judy Zhong

Bayesian spatiotemporal modeling on complex-valued fMRI signals via kernel convolutions

Cheng-Han Yu, Raquel Prado, Hernando Ombao, and Daniel Rowe

Multi-source single-cell data integration by MAW Barycenter for Gaussian mixture models

Lin Lin, Wei Shi, Jianbo Ye, and Jia Li

Estimated quadratic inference function for correlated failure time data

Feifei Yan, Yanyan Liu, Jianwen Cai, and Haibo Zhou

The Generalized Fisher’s Combination and accurate p-value calculation under dependence

Hong Zhang and Zheyang Wu

Joint gene network construction by single-cell RNA sequencing data

Meichen Dong, Yiping He, Yuchao Jiang, and Fei Zou

Inference for set-based effects in genetic association studies with interval-censored outcomes

Ryan Sun, Liang Zhu, Yimei Li, Yutaka Yasui, and Leslie Robison

Bayes optimal informer sets for early-stage drug discovery

Peng Yu, Spencer Ericksen, Anthony Gitter, and Michael A. Newton

Instrumental variable estimation of causal hazard ratio

Linbo Wang, Eric Tchetgen Tchetgen, Torben Martinussen, and Stijn Vansteelandt

Discussion on "Instrumental variable estimation of causal hazard ratio" by Linbo Wang, Eric Tchetgen Tchetgen, Torben Martinussen, and Stijn Vansteelandt

Brigham R. Frandsen

Discussion on "Instrumental variable estimation of causal hazard ratio" by Linbo Wang, Eric Tchetgen Tchetgen, Torben Martinussen, and Stijn Vansteelandt

Benjamin R. Baer, Robert L. Strawderman, and Ashkan Ertefaie

Discussion on "Instrumental variable estimation of causal hazard ratio" by Linbo Wang, Eric Tchetgen Tchetgen, Torben Martinussen, and Stijn Vansteelandt

A. James O’Malley, Pablo Martinez-Camblor, and Todd A. MacKenzie

Functional data analysis for longitudinal data with informative observation times

Caleb Weaver, Luo Xiao, and Wenbin Lu

A hierarchical model for analyzing multi-site individual-level disease surveillance data from multiple systems

Yuzi Zhang, Howard H. Chang, Qu Cheng, Philip A. Collender, Ting Li, Jinge He, and Justin V. Remais

Zero-inflated Poisson models with measurement error in response

Qihuang Zhang and Grace Y. Yi

Evaluating treatment effects in group sequential multivariate longitudinal studies with covariate adjustment

Neal O. Jeffries, James F. Troendle, and Nancy L. Geller

A time-heterogeneous D-vine copula model for unbalanced and unequally spaced longitudinal data

Md. Erfanul Hoque, Elif F. Acar, and Mahmoud Torabi

Bayesian interaction selection model for multi-modal neuroimaging data analysis

Yize Zhao, Ben Wu, and Jian Kang

Bayesian sample size determination using commensurate priors to leverage pre-experimental data

Haiyan Zheng, Thomas Jaki, and James M.S. Wason

Feature screening with latent responses

Congran Yu, Wenwen Guo, Xinyuan Song, and Hengjian Cui

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Nonparametric estimation of the causal effect of a stochastic threshold-based intervention

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Score test for missing at random or not under logistic missingness models

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Model-based clustering of high-dimensional longitudinal data via regularization

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Robust Bayesian variable selection for gene-environment interactions

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Random projection ensemble classification with high-dimensional time series

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Coherent modeling of longitudinal causal effects on binary outcomes

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Functional group bridge for simultaneous regression and support estimation

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Exact-corrected confidence interval for risk difference in noninferiority binomial trials

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Power analysis for cluster randomized trials with continuous co-primary endpoints

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Closed testing with Globaltest, with application in metabolomics

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Robust functional principal component analysis via a functional pairwise spatial sign operator

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Optimal test procedures for multiple hypotheses controlling the familywise expected loss

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Elastic analysis of irregularly or sparsely sampled curves

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Automated analysis of low-field brain MRI in cerebral malaria

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Centre-augmented $\ell_2$-type regularization for subgroup learning

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Quantile regression for nonignorable missing data with its application of analyzing electronic medical records

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A Bayesian multivariate mixture model for high throughput spatial transcriptomics

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Joint semiparametric models for case-cohort designs

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Tractable Bayes of skew-elliptical link models for correlated binary data

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Optimal multiple testing and design in clinical trials

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Testing weak nulls in matched observational studies

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Integrative Bayesian models using post-selective inference: a case study in radiogenomics

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Bayesian treatment screening and selection using subgroup-specific utilities of response and toxicity

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Generalized propensity score approach to causal inference with spatial interference

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Bayesian regression analysis of skewed tensor responses

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Functional data analysis with covariate-dependent mean and covariance structures

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Multidimensional adaptive P-splines with application to Neurons’ activity studies

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Simultaneous cluster structure learning and estimation of heterogeneous graphs for matrix-variate fMRI data

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Joint inference for competing risks data using multiple endpoints

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Bayesian hierarchical quantile regression with application to characterizing the immune architecture of lung cancer

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Segmented correspondence curve regression for quantifying covariate effects on the reproducibility of high-throughput experiments

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Maximum likelihood estimation in the additive hazards model

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Frequentist model averaging for undirected Gaussian graphical models

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Misdiagnosis-related harm quantification through mixture models and harm measures

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Adaptive Bayesian sum of trees model for covariate dependent spectral analysis

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Penalized estimation of frailty-based illness-death models for semi-competing risks

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Change-plane analysis for subgroup detection with a continuous treatment

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Concave likelihood-based regression with finite-support response variables

K. O. Ekvall and M. Bottai

Boosting distributional copula regression

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Associating somatic mutation with clinical outcomes through kernel regression and optimal transport

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Asynchronous functional linear regression models for longitudinal data in reproducing kernel Hilbert space

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Comparing COVID-19 incidences longitudinally per economic sector against the background of preventive measures and vaccination

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On generalized latent factor modeling and inference for high-dimensional binomial data

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Microbiome subcommunity learning with logistic-tree normal latent Dirichlet allocation

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Spatial dependence modeling of latent susceptibility and time to joint damage in psoriatic arthritis

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Pattern-based clustering of daily weigh-in trajectories using dynamic time warping

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Combining parametric and nonparametric models to estimate treatment effects in observational studies

Daniel Daly-Grafstein and Paul Gustafson

Identifying brain hierarchical structures associated with Alzheimer’s disease

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How well can Fine Balance work for covariate balancing

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