Papers to Appear

Cover image: The cover image visualizes a two-stage method to estimate biomarker networks that account for heterogeneity among subjects and to evaluate the network’s association with disease clinical outcome. At the first stage, a conditional Gaussian graphical model with mean and precision depending on covariates is proposed to obtain covariate-dependent networks with connection strengths varying across subjects while assuming an homogeneous network structure. At the second stage, the clinical utility of network measures (connection strengths) estimated from the first stage is evaluated. The second stage analysis provides the relative predictive power of between-region network measures on clinical impairment in the context of regional biomarkers and existing disease risk factors. This comes from Figure 1 in the article authored by Shanghong Xie, Xiang Li, Peter McColgan, Rachael I. Scahill, Donglin Zeng, and Yuanjia Wang, and entitled "Identifying disease-associated biomarker network features through conditional graphical model."

Biometric Methodology


DISCUSSION PAPER


Horseshoe-Based Bayesian Nonparametric Estimation of Effective Population Size Trajectories

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


Discussion

Lorenzo Cappello, Swarnadip Ghosh, and Julia A. Palacios


Rejoinder

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


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


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


One-step targeted maximum likelihood estimation for time-to-event outcomes

Weixin Cai, and Mark J. van der Laan


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


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


Estimating Average Treatment Effects with a Double-Index Propensity Score

David Cheng, Abhishek Chkrabortty, Ashwin N. Ananthakrishnan, and Tianxi Cai


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


Multivariate Hierarchical Frameworks for Modelling Delayed Reporting in Count Data

Oliver Stoner and Theo Economou


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 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


Estimating overdispersion in sparse multinomial data

Farzana Afroz, Matt Parry, and David Fletcher


Statistical inference for net benefit measures in biomarker validation studies

Tracey L. Marsh, Holly Janes, and Margaret S. Pepe


Learning-based biomarker-assisted rules for optimized clinical benefit under a risk-constraint

Yanqing Wang, Ying-Qi Zhao, and Yingye Zheng


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


Discovering structure in multiple outcomes models for tests of childhood neurodevelopment

Amy LaLonde, Tanzy Love, Sally W. Thurston, and Philip W. Davidson


Biometric Practice


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


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


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


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


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


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


Fair regression for health care spending

Anna Zink and Sherri Rose


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


Identifying disease-associated biomarker network features through conditional graphical model

Shanghong Xie, Xiang Li, Peter McColgan, Rachael I. Scahill, Donglin Zeng, and Yuanjia Wang


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

Reader Reaction


On continuous-time capture-recapture in closed populations

W. Zhang and Simon Bonner


Rejoinder

Matthew Schofield and Richard Barker


Robustness of ANCOVA in randomised trials with unequal randomisation

Jonathan W. Bartlett


Rejoinder

Bingkai Wang, Elizabeth L.Ogburn, and Michael Rosenblum


Letter to the Editors


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

Nicola Lunardon and Giovanna Menardi


Rejoinder

You-Gan Wang, Xu Lin, and Min Zhu


Book reviews


Dynamic Treatment Regimes: Statistical Methods for Precision Medicine (Anastasios A. Tsiatis, Marie Davidian, Shannon T. Holloway, and Eric B. Laber)

Reviewed by Li-Pang Chen


Statistical Remedies for Medical Researchers (Peter Thall)

Reviewed by Peter Müller



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


Rejoinder to "Nonparametric variable importance assessment using machine learning techniques"

Brian D. Williamson, Peter B. Gilbert, Noah Simon, and Marco Carone


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


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


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


Rejoinder to Discussions 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

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


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


Scalable and robust latent trajectory class analysis using artificial likelihood

Kari R. Hart, Teng Fei, and John J. Hanfelt


Estimation of conditional power for cluster-randomized trials with interval-censored endpoints

Kaitlyn A. Cook, and Rui Wang


Brain connectivity alteration detection via matrix-variate differential network model

Jiadong Ji, Yong He, Lei Liu, and Lei Xie


Receiver operating characteristic curves and confidence bands for support vector machines

Daniel J. Luckett, Eric B. Laber, Samer S. El-Kamary, Cheng Fan, Ravi Jhaveri, Charles M. Perou, Fatma M. Shebl, and Michael R. Kororok


Histopathological imaging-based cancer heterogeneity analysis via penalized fusion with model averaging

Baihua He, Tingyan Zhong, Jian Huang, Yanyan Liu, Qingzhao Zhang, and Shuangge Ma


A random covariance model for bi-level graphical modeling with application to resting-state fMRI data

Lin Zhang, Andrew DiLernia, Karina Quevedo, Jazmin Camchong, Kelvin Lim, and Wei Pan


Modeling excess hazard with time-to-cure as a parameter.

Olayidé Boussari, Laurent Bordes, Gaëlle Romain, Marc Colonna, Nadine Bossard, Laurent Remontet, and Valérie Jooste


Nonparametric matrix response regression with application to brain imaging data analysis

Wei Hu, Tianyu Pan, Dehan Kong, and Weining Shen


Penalized Fieller’s confidence interval for the ratio of bivariate normal means

Peng Wang, Siqi Xu, Yixin Wang, Baolin Wu, Wing Kam Fung, Guimin Gao, Zhijiang Liang, and Nianjun Liu


Semiparametric partial common principal component analysis for covariance matrices

Bingkai Wang, Xi Luo, Yi Zhao, and Brian Caffo


Semiparametric models and inference for the effect of a treatment when the outcome is nonnegative with clumping at zero

Jing Cheng and Dylan S. Small


Efficient nonparametric inference on the effects of stochastic interventions under two-phase sampling, with applications to vaccine efficacy trials

Nima S. Hejazi, Mark J. van der Laan, Holly E.Janes, Peter B. Gilbert, and David C. Benkeser


Evaluating multiple surrogate markers with censored data

Layla Parast, Tianxi Cai, and Lu Tian


A stacked approach for chained equations multiple imputation incorporating the substantive model

Lauren J. Beesley and Jeremy M. G. Taylor


A marginal moment matching approach for fitting endemic-epidemic models to underreported disease surveillance counts

Johannes Bracher and Leonhard Held


Using the “hidden” genome to improve classification of cancer types

Saptarshi Chakraborty, Colin B. Begg, and Ronglai Shen


Evaluating and improving a matched comparison of antidepressants and bone density

Ruoqi Yu


Net benefit index: assessing the influence of a biomarker for individualized treatment rules

Yiwang Zhou, Peter X.K. Song, and Haoda Fu


Poisson PCA: Poisson measurement error corrected PCA, with application to microbiome data

Toby Kenney, Hong Gu, and Tianshu Huang


Modelling sparse longitudinal data on Riemannian manifolds

Xiongtao Dai, Zhenhua Lin, and Hans-Georg Mueller


Non-parametric cluster significance testing with reference to a unimodal null distribution

Erika S. Helgeson, David M. Vock, and Eric Bair


Child mortality estimation incorporating summary birth history data

Katie Wilson and Jon Wakefield


Improving precision and power in randomized trials for COVID-19 treatments using covariate adjustment, for binary, ordinal, and time-to-event outcomes

David Benkeser, Ivan Diaz, Alex Luedtke, Jodi Segal, Daniel Scharfstein, and Michael Rosenblum


A class of proportional win-fractions regression models for composite outcomes

Lu Mao and Tuo Wang


A Bayesian approach to restricted latent class models for scientifically-structured clustering of multivariate binary outcomes

Zhenke Wu, Livia Casciola-Rosen, Antony Rosen, and Scott L. Zeger


A pairwise pseudo-likelihood approach for left-truncated and interval-censored data under the Cox model

Peijie Wang, Danning Li, and Jianguo Sun


Robust methods to correct for measurement error when evaluating a surrogate marker

Layla Parast, Tanya P. Garcia, Ross L. Prentice, and Raymond J. Carroll


Simultaneous variable selection and estimation for joint models of longitudinal and failure time data with interval censoring

Fengting Yi, Niansheng Tang, and Jianguo Sun


A non-parametric Bayesian model for estimating spectral densities of resting-state EEG twin data

Brian Hart, Michele Guindani, Stephen Malone, and Mark Fiecas


New multivariate tests for assessing covariate balance in matched observational studies

Hao Chen and Dylan S. Small


Identifying individual predictive factors for treatment efficacy

Ariel Alonso, Wim Van der Elst, Lizet Sanchez, Patricia Luaces, and Geert Molenberghs


Analysis of clustered interval-censored data using a class of semiparametric partly linear frailty transformation models

Chun Yin Lee, Kin Yau Wong, K. F. Lam, and Jinfeng Xu