Papers to Appear


Cover Image:  This figure on the front cover is taken from Figure 1 in the article authored by Xinyi Lu, Mevin B. Hooten, Ann M. Raiho, David K. Swanson, Carl A. Roland, and Sarah E. Stehn, and entitled “Latent trajectory models for spatio-temporal dynamics in Alaskan ecosystems.” A pair of images taken decades apart of the same plot in the Noatak National Preserve, Alaska (red dot on the inset map, bottom left), contrasts the historic landscape (AHAP color-infrared photo, left) consisting mostly of herbaceous vegetation and low shrubs with the contemporary landscape (small-format true color photo, right) consisting mostly of tall shrubs. The phenomenon is known colloquially as "shrubification", or "Arctic greening", and is thought attributable to the warming climates. 



Biometric Methodology


Discussion Paper


Optimal test procedures for multiple hypotheses controlling the familywise expected loss

Willi Maurer, Frank Bretz, and Xiaolei Xun


Discussion

Yoav Benjamini, Ruth Heller, Abba Krieger, Saharon Rosset


Discussion

Sudipto Banerjee


Discussion

Lisa M. LaVange, Ethan M. Alt, and Joseph G. Ibrahim


Discussion

Werner Brannath


Rejoinder

Willi Maurer, Frank Bretz, and Xiaolei Xun


Optimizing treatment allocation in randomized clinical trials by leveraging baseline covariates

Wei Zhang, Zhiwei Zhang, and Aiyi Liu


Estimating optimal individualized treatment rules with multistate processes

Giorgos Bakoyannis


Stabilized direct learning for efficient estimation of individualized treatment rules

Kushal S. Shah, Haoda Fu, and Michael R. Kosorok


SAM: Self-adapting mixture prior to dynamically borrow information from historical data in clinical trials

Peng Yang, Yuansong Zhao, Lei Nie, Jonathon Vallejo, and Ying Yuan


Regression-based multiple treatment effect estimation under covariate-adaptive randomization

Yujia Gu, Hanzhong Liu, and Wei Ma


Interim monitoring of sequential multiple assignment randomized trials using partial information

Cole Manschot, Eric Laber, and Marie Davidian


Covariate-adjusted response-adaptive designs based on semiparametric approaches

Hai Zhu and Hongjian Zhu


DROID: Dose-ranging approach to optimizing dose in oncology drug development

Beibei Guo and Ying Yuan


Relative contrast estimation and inference for treatment recommendation

Muxuan Liang and Menggang Yu


Hierarchical nuclear norm penalization for multi-view data integration

Sangyoon Yi, Raymond K. W. Wong, and Irina Gaynanova


An efficient data integration scheme for synthesizing information from multiple secondary datasets for the parameter inference of the main analysis

Chixiang Chen, Ming Wang, and Shuo Chen


Combining observational and experimental datasets using shrinkage estimators

Evan T. R. Rosenman, Guillaume Basse, Art B. Owen, and Mike Baiocchi


Optimal sampling for positive only electronic health record data

Seong-ho Lee, Yanyuan Ma, Ying Wei, and Jinbo Chen


Explaining transmission rate variations and forecasting epidemic spread in multiple regions with a semiparametric mixed effects SIR model

David A. Buch, James Johndrow, and David B. Dunson


Identifying and estimating effects of sustained interventions under parallel trends assumptions

Audrey Renson, Michael G. Hudgens, Alexander P. Keil, Paul N. Zivich, and Allison E. Aiello


Additive subdistribution hazards regression for competing risks data in case-cohort studies

Adane F. Wogu, Haolin Li, Shanshan Zhao, Hazel B. Nichols, and Jianwen Cai


Nonparametric failure time: time-to-event machine learning with heteroskedastic Bayesian additive regression trees and low information omnibus Dirichlet process mixtures

R.A. Sparapani, B.R. Logan, M.J. Maiers, P.W. Laud, and R.E. McCulloch


Estimation of time-specific intervention effects on continuously distributed time-to-event outcomes by targeted maximum likelihood estimation

Helene C. W. Rytgaard, Frank Eriksson, and Mark J. van der Laan


Information criteria for detecting change-points in the Cox proportional hazards model

Ryoto Ozaki, and Yoshiyuki Ninomiya


An accelerated failure time regression model for illness-death data: A frailty approach

Lea Kats and Malka Gorfine


Group variable selection for Cox model with interval-censored failure time data

Yuxiang Wu, Hui Zhao, and Jianguo Sun


Ensuring valid inference for Cox hazard ratios after variable selection

Kelly Van Lancker, Oliver Dukes, and Stijn Vansteelandt


A semiparametric Cox-Aalen transformation model with censored data

Xi Ning, Yinghao Pan, Yanqing Sun, and Peter B. Gilbert


Efficient and flexible estimation of natural direct and indirect effects under intermediate confounding and monotonicity constraints

Kara E. Rudolph, Nicholas Williams, and Ivan Diaz


Improved inference for doubly robust estimators of heterogeneous treatment effects

Heejun Shin and Joseph Antonelli


Prior and posterior checking of implicit causal assumptions

Antonio R. Linero


Transportability of causal inference under random dynamic treatment regimes for kidney-pancreas transplantation

Grace R. Lyden, David M. Vock, Erika S. Helgeson, Erik B. Finger, Arthur J. Matas, and Jon J. Snyder


Entropy balancing for causal generalization with target sample summary information

Rui Chen, Guanhua Chen, and Menggang Yu


Individualized causal discovery with latent trajectory embedded Bayesian networks

Fangting Zhou, Kejun He, and Yang Ni


A self-censoring model for multivariate nonignorable nonmonotone missing data

Yilin Li, Wang Miao, Ilya Shpitser, and Eric J. Tchetgen Tchetgen


Instability of inverse probability weighting methods and a remedy for non-ignorable missing data

Pengfei Li, Jing Qin, and Yukun Liu


A double robust test for high-dimensional gene co-expression networks conditioning on clinical information

Maomao Ding, Ruosha Li, Jin Qin, and Jing Ning


A Bayesian zero-inflated Dirichlet-multinomial regression model for multivariate compositional count data

Matthew D. Koslovsky


Bayesian nonparametric adjustment of confounding

Chanmin Kim, Maucicio Tec, and Corwin Zigler


Bayesian model selection for generalized linear mixed models

Shuangshuang Xu, Marco A. R. Ferreira, Erica M. Porter, and Christopher T. Franck


Functional Bayesian networks for discovering causality from multivariate functional data

Fangting Zhou, Kejun He, Kunbo Wang, Yanxun Xu, and Yang Ni


Bayesian functional data analysis over dependent regions and its application for identification of differentially methylated regions

Suvo Chatterjee, Shrabanti Chowdhury, Duchwan Ryu, and Sanjib Basu


Latent factor model for multivariate functional data

Ruonan Li, and Luo Xiao


Nonlinear function-on-scalar regression via functional universal approximation

Ruiyan Luo and Xin Qi


Homogeneity tests of covariance for high-dimensional functional data with applications to event segmentation

Ping-Shou Zhong


Latent deformation models for multivariate functional data and time warping separability

Cody Carroll and Hans-Georg Mueller


Bi-level structured functional analysis for genome-wide association studies

Mengyun Wu, Fan Wang, Yeheng Ge, Shuangge Ma, and Yang Li


Asynchronous and error-prone longitudinal data analysis via functional calibration

Xinyue Chang, Yehua Li, and Yi Li


Simultaneous selection and inference for varying coefficients with zero regions: A soft-thresholding approach

Yuan Yang, Ziyang Pan, Jian Kang, Chad Brummett, and Yi Li


Combining mixed effects hidden Markov models with latent alternating recurrent event processes to model diurnal active-rest cycles

Benny Ren and Ian Barnett


Longitudinal incremental propensity score interventions for limited resource settings

Aaron Sarvet, Kerollos N. Wanis, Jessica Young, Roberto Hernandez-Alejandro, and Mats J. Stensrud


Flexible joint modeling of mean and dispersion for the directional tuning of neuronal spike counts

Maria Alonso-Pena, Irene Gijbels, and Rosa M. Crujeiras


Sparse estimation in semi-parametric finite mixture of varying coefficient regression models

Abbas Khalili, Farhad Shokoohi, Masoud Asgharian, and Shili Lin


Conditional inference in cis-Mendelian randomization using weak genetic factors

Ashish Patel, Dipender Gill, Paul Newcombe, and Stephen Burgess


Competition-based control of the false discovery proportion

Dong Luo, Arya Ebadi, Kristen Emery, Yilun He, William Stafford Noble, and Uri Keich


Multiresolution categorical regression for interpretable cell type annotation

Aaron J. Molstad and Motwani Keshav


FDR controlled multiple testing for union null hypotheses: A knockoff-based approach

Ran Dai and Cheng Zheng


Analyzing data in complicated 3D domains: smoothing, semiparametric regression and functional principal component analysis

Eleonora Arnone, Luca Negri, Ferruccio Panzica, and Laura M. Sangalli


Detecting the spatial clustering of exposure-response relationships with estimation error: a novel spatial scan statistic

Wei Wang, Sheng Li, Tao Zhang, Fei Yin, and Yue Ma


A seasonality-adjusted sequential test for vaccine safety surveillance

Rex Shen, Keran Moll, Ying Lu, and Lu Tian


On interquantile smoothness of censored quantile regression with induced smoothing (CQRIS)

Zexi Cai and Tony Sit


A stochastic block Ising model for multi-layer networks with inter-layer dependence

Jingnan Zhang, Chengye Li, and Junhui Wang


Generating designs for comparative experiments with two blocking factors

Nha Vo-Thanh and Hans-Peter Piepho


Biometric Practice


Bayesian design of multi-regional clinical trials with time-to-event endpoints

Nathan W. Bean, Joseph G. Ibrahim, and Matthew A. Psioda


Sparse Bayesian modeling of hierarchical independent component analysis: reliable estimation of individual differences in brain networks

Joshua Lukemire, Giuseppe Pagnoni, and Ying Guo


Dynamic enrichment of Bayesian small sample, sequential, multiple assignment randomized trial (snSMART) design using natural history data: A case study from Duchenne muscular dystrophy

Sidi Wang, Kelley M. Kidwell, and Satrajit Roychoudhury


A Bayesian causal inference approach in observational studies with missingness in covariates and outcomes

Huaiyu Zang, Hang J. Kim, Bin Huang, and Rhonda Szczesniak


Spatially adaptive calibrations of AirBox PM2.5 data

Hsin-Cheng Huang


Spatial modeling of M. tuberculosis transmission with dyadic genetic relatedness data

Joshua L. Warren, Melanie H. Chitwood, Benjamin Sobkowiak, Caroline Colijn, and Ted Cohen


Latent trajectory models for spatio-temporal dynamics in Alaskan ecosystems

Xinyi Lu, Mevin B. Hooten, Ann M. Raiho, David K. Swanson, Carl A. Roland, and Sarah E. Stehn


Imputation-based Q-learning for optimizing dynamic treatment regimes with right-censored survival outcome

Lingyun Lyu, Yu Cheng, and Abdus S. Wahed


Analysis of dynamic restricted mean survival time based on pseudo-observations

Zijing Yang, Chengfeng Zhang, Yawen Hou, and Zheng Chen


Study design for restricted mean time analysis of recurrent events and death

Lu Mao


Finding influential subjects in a network using a causal framework

Youjin Lee, Ashley Buchanan, Elizabeth Ogburn, Samuel R. Friedman, M. Elizabeth Halloran, Natallia V. Katenka, Jing Wu, and Georgios Nikolopoulos


Causal mediation analysis using image mediator bounded in irregular domain with an application to breast cancer

Shu Jiang and Graham A. Colditz


Correcting for bias due to mismeasured exposure history in longitudinal studies with continuous outcomes

Jiachen Cai, Ning Zhang, Xin Zhou, Donna Spiegelman, and Molin Wang


Nonlinear multilevel joint model for individual lesion kinetics and survival to characterize intra-individual heterogeneity in patients with advanced cancer

Marion Kerioui, Maxime Beaulieu, Solène Desmée, Julie Bertrand, François Mercier, Jin Y. Jin, René Bruno, and Jérémie Guedj


Analyzing clustered continuous response variables with ordinal regression models

Yuqi Tian, Bryan E. Shepherd, Chun Li, Donglin Zeng, and Jonathan J. Schildcrout


A nonparametric test of group distributional differences for hierarchically-clustered functional data

Alexander S. Long, Brian J. Reich, Ana-Maria Staicu, and John Meitzen


Bayesian inference for a principal stratum estimand on recurrent events truncated by death

Tianmeng Lyu, Bjorn Bornkamp, Guenther Mueller-Velten, and Heinz Schmidli


Estimating population size: the importance of model and estimator choice

Matthew R. Schofield, Richard J. Barker, William A. Link, and Heloise Pavanato


Modelling Covid-19 contact-tracing using the ratio regression capture-recapture approach

D. Böhning, R. Lerdsuwansri, and P. Sangnawakij


A synthetic data integration framework to leverage external summary-level information from heterogeneous populations

Tian Gu, Jeremy M.G. Taylor, and Bhramar Mukherjee


Supervised convex clustering

Minjie Wang, Tianyi Yao, and Genevera I. Allen


Conditional cross-design synthesis estimators for generalizability in Medicaid

Irina Degtiar, Tim Layton, Jacob Wallace, and Sherri Rose


A case study of glucose levels during sleep using multilevel fast function on scalar regression inference

Renat Sergazinov, Andrew Leroux, Erjia Cui, Ciprian Crainiceanu, R. Nisha Aurora, Naresh M. Punjabi, and Irina Gaynanova


Pathological imaging-assisted cancer gene-environment interaction analysis

Kuangnan Fang, Jingmao Li, Qingzhao Zhang, Yaqing Xu, and Shuangge Ma


Constructing time-invariant dynamic surveillance rules for optimal monitoring schedules

Xinyuan Dong, Yingye Zheng, Daniel W. Lin, Lisa Newcomb, and Ying-Qi Zhao


Dirichlet process mixture models for the analysis of repeated attempt designs

M.J. Daniels, M. Lee, and W. Fen


Sample size & power determination for multiparameter evaluation in nonlinear regression models with potential stratification

Michael J. Martens, Soyoung Kim, and Kwang Woo Ahn


Analysis of length-biased and partly interval-censored survival data with mismeasured covariates

Li-Pang Chen and Bangxu Qiu


Melding wildlife surveys to improve conservation inference

Justin J. Van Ee, Christian A. Hagen, David C. Pavlacky Jr., Kent A. Fricke, Matthew D. Koslovsky, and Mevin B. Hooten


A proportional incidence rate model for aggregated data to study the vaccine effectiveness against COVID-19 hospital and ICU admissions

Ping Yan, Muhammad Abu Shadeque Mullah, and Ashleigh Tuite 


A second evidence factor for a second control group

Paul R. Rosenbaum


Efficient algorithms for building representative matched pairs with enhanced generalizability

Bo Zhang


How to analyze continuous and discrete repeated measures in small sample cross-over trials?

Johan Verbeeck, Martin Geroldinger, Konstantin Thiel, Andrew C. Hooker, Sebastian Ueckert, Mats Karlsson, Arne C. Bathke, Johann W. Bauer, Geert Molenberghs, and Georg Zimmermann


Correction


Correction to “Robust approach to combining multiple markers to improve surrogacy”


Book Reviews


Statistical Inference and Machine Learning for Big Data (Mayer Alvo)

Reviewed by Li-Pang Chen


Bioinformatics Methods: From Omics to Next Generation Sequencing (Shili Lin, Denise Scholtens, and Sujay Datta)

Reviewed by Yu-Chiao Chiu


Papers to appear in future issues of Biometrics


The central role of the identifying assumption in population size estimation

Serge Aleshin-Guendel, Mauricio Sadinle, and Jon Wakefield


Discussion on "The central role of the identifying assumption in population size estimation" by Serge Aleshin-Guendel, Mauricio Sadinle, and Jon Wakefield

John Whitehead


Discussion on "The central role of the identifying assumption in population size estimation" by Serge Aleshin-Guendel, Mauricio Sadinle, and Jon Wakefield

Li-Chun Zhang


Discussion on "The central role of the identifying assumption in population size estimation" by Serge Aleshin-Guendel, Mauricio Sadinle, and Jon Wakefield

Ruth King, Rachel McCrea, and Antony Overstall


Discussion on "The central role of the identifying assumption in population size estimation" by Serge Aleshin-Guendel, Mauricio Sadinle, and Jon Wakefield

Daniel Manrique-Vallier


Rejoinder to discussions on "The central role of the identifying assumption in population size estimation" 

Serge Aleshin-Guendel, Mauricio Sadinle, and Jon Wakefield


Bayesian meta-analysis of penetrance for cancer risk

Thanthirige Ruberu, Danielle Lakshika Braun, Giovanni Parmigiani, and Swati Biswas


Discussion on "Bayesian meta-analysis of penetrance for cancer risk" by Thanthirige Ruberu, Danielle Lakshika Braun, Giovanni Parmigiani, and Swati Biswas

Gianluca Baio


Discussion on "Bayesian meta-analysis of penetrance for cancer risk" by Thanthirige Ruberu, Danielle Lakshika Braun, Giovanni Parmigiani, and Swati Biswas

Peter Müller and Bernardo Flores


Discussion on "Bayesian meta-analysis of penetrance for cancer risk" by Thanthirige Ruberu, Danielle Lakshika Braun, Giovanni Parmigiani, and Swati Biswas

Sudipto Banerjee


Discussion on "Bayesian meta-analysis of penetrance for cancer risk" by Thanthirige Ruberu, Danielle Lakshika Braun, Giovanni Parmigiani, and Swati Biswas

Moreno Ursino and Sarah Zohar


Discussion on "Bayesian meta-analysis of penetrance for cancer risk" by Thanthirige Ruberu, Danielle Lakshika Braun, Giovanni Parmigiani, and Swati Biswas

Paul Gustafson


Personalized treatment selection via product partition models with covariates

Matteo Pedone, Raffaele Argiento, and Francesco C. Stingo


Multiple augmented reduced rank regression for pan-cancer analysis

Jiuzhou Wang and Eric F. Lock


Longitudinal varying coefficient single-index model with censored covariates

Shikun Wang, Jing Ning, Ying Xu, Tina Ya-Chen Shih, Yu Shen, and Liang Li


Incorporating participants’ welfare into sequential multiple assignment randomized trials

Xinru Wang, Nina Deliu, Yusuke Narita, and Bibhas Chakraborty


Homogeneity pursuit and variable selection in regression models for multivariate abundance data

Francis K.C. Hui, Luca Maestrini, and Alan H. Welsh


Nonparametric predictive model for sparse and irregular longitudinal data

Shixuan Wang, Seonjin Kim, Hyunkeun Cho, and Won Chang 


A Bayesian survival treed hazards model using latent Gaussian processes

Richard D. Payne, Nilabja Guha, and Bani K. Mallick


Changing interim monitoring in response to internal clinical trial data

Michael A. Proschan, Martha Nason, Ana M Ortega-Villa, and Jing Wang


Robust data integration from multiple external sources for generalized linear models with binary outcomes

Kyuseong Choi, Jeremy M.G. Taylor, and Peisong Han


Efficient estimation for left-truncated competing risks regression for case-cohort studies

Xi Fang, Kwang Woo Ahn, Jianwen Cai, and Soyoung Kim


Adaptive sequential surveillance with network and temporal dependence

Ivana Malenica, Jeremy R. Coyle, Mark J. van der Laan, and Maya L. Petersen


Proportional rates models for multivariate panel count data

Yangjianchen Xu, Donglin Zeng, and D. Y. Lin


Efficient designs and analysis of two-phase studies with longitudinal binary data

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


Randomized phase II selection design with order constrained strata

Yi Chen and Menggang Yu


Principal stratification analysis of noncompliance with time-to-event outcomes

Bo Liu, Lisa Wruck, and Li Fan


Individualized treatment rule characterization via a value function surrogate

Nikki L. B. Freeman, Sydney E. Browder, Katharine L. McGinigle, and Michael R. Kosorok


Inferring HIV transmission patterns from viral deep-sequence data via latent typed point processes

Fan Bu, Joseph Kagaayi, Mary Kate Grabowski, Oliver Ratmann, and Jason Q. Xu


Multi-objective tree-based reinforcement learning for estimating tolerant dynamic treatment regimes

Yao Song and Lu Wang


Incorporating graph information in Bayesian factor analysis with robust and adaptive shrinkage priors

Qiyiwen Zhang, Changgee Chang, Li Shen, and Qi Long


Quantifying the HIV reservoir with dilution assays and deep viral sequencing

Sarah C. Lotspeich, Brian D. Richardson, Pedro L. Baldoni, Kimberly P. Enders, and Michael G. Hudgens


Reader Reaction: Adaptive selection of the optimal strategy to improve precision and power in randomized trials

Laura B. Balzer, Erica Cai, Lucas Godoy Garraza, and Pracheta Amaranath


A flexible framework for spatial capture-recapture with unknown identities

Paul van Dam-Bates, Michail Papathomas, Ben Stevenson, Rachel Fewster, Daniel Turek, Frances Stewart, and David Borchers


Clustering blood donors via mixtures of product partition models with covariates

Raffaele Argiento, Riccardo Corradin, Alessandra Guglielmi, and Ettore Lanzarone


That’s not the Mona Lisa! How to interpret spatial capture-recapture density surface estimates

Ian Durbach, Rishika Chopara, David L. Borchers, Rachel Phillip, Koustubh Sharma, and  Ben C. Stevenson


A generalized Phase 1-2-3 design integrating dose optimization with confirmatory treatment comparison

Yong Zang, Peter F. Thall, and Ying Yuan


Penalized deep partially linear Cox models with application to CT scans of lung cancer patients

Yuming Sun, Jian Kang, Chinmay Haridas, Nicholas R. Mayne, Alexandra L. Potter, Chi-Fu Jeffrey Yang, David C. Christiani, and Yi Li


Estimating the effect of latent time-varying count exposures using multiple lists

Jung Yeon Won, Michael R. Elliott, Emma V. Sanchez-Vaznaugh, and Brisa Sanchez


A rank-based approach to evaluate a surrogate marker in a small sample setting

Layla Parast, Tianxi Cai, and Lu Tian


Inferring a directed acyclic graph of phenotypes from GWAS summary statistics

Rachel Zilinskas, Chunlin Li, Xiaotong Shen, Wei Pan, and Tianzhong Yang


From local to global gene co-expression estimation using single-cell RNA-seq data

Jinjin Tian, Jing Lei, and Kathryn Roeder


Sparse ordinal discriminant analysis

Sangil Han, Minwoo Kim, Sungkyu Jung, and Jeongyoun Ahn


Using instrumental variables to address unmeasured confounding in causal mediation analysis

Kara E. Rudolph, Nicholas Williams, and Ivan Diaz


Multiply robust estimators in longitudinal studies with missing data under control-based imputation

Siyi Liu, Shu Yang, Yilong Zhang, and Guanghan (Frank) Liu


Two-phase designs with failure time processes subject to non-susceptibility

Fangya Mao, Li C. Cheung, and Richard J. Cook


High-dimensional sparse vine copula regression with application to genomic prediction

Ozge Sahin and Claudia Czado


Simultaneous variable selection and estimation in semiparametric regression of mixed panel count data

Lei Ge, Tao Hu, and Yang Li


On exact randomization-based covariate-adjusted confidence intervals

Jacob Fiksel


Semi-supervised transfer learning for evaluation of model classification performance

Linshanshan Wang, Xuan Wang, Katherine P. Liao, and Tianxi Cai


Merging or ensembling: integrative analysis in multiple neuroimaging studies

Yue Shan, Chao Huang, Yun Lia, and Hongtu Zhu


Comparing two spatial variables with the probability of agreement

Jonathan Acosta, Ronny Vallejos, Aaron M. Ellison, Felipe Osorio, and Mario de Castro


A scalar-on-quantile-function approach for estimating short-term health effects of environmental exposures

Yuzi Zhang, Howard H. Chang, Joshua L. Warren, and Stefanie T. Ebelt


Estimation of the causal effects of time-varying treatments in nested case-control studies using marginal structural Cox models

Yoshinori Takeuchi, Yasuhiro Hagiwara, Sho Komukai, and Yutaka Matsuyama


Diagnostics for regression models with semicontinuous outcomes

Lu Yang


A boosting method to select the random effects in linear mixed models

Michela Battauz and Paolo Vidoni


Bayesian two-stage modeling of longitudinal and time-to-event data with an integrated Brownian motion covariance structure

Anushka Palipana, Seongho Song, Nishant Gupta, and Rhonda Szczesniak


Asymptotic uncertainty of false discovery proportion

Meng Mei, Tao Yu, and Yuan Jiang


Causal inference for time-to-event data with a cured subpopulation

Yi Wang, Yuhao Deng, and Xiao-Hua Zhou


Flagging unusual clusters based on linear mixed models using weighted and self-calibrated predictors

Charles E. McCulloch, John M. Neuhaus, and Ross D. Boylan


Bias correction models for electronic health records data in the presence of non-random sampling

Jiyu Kim, Rebecca Anthopolos, Judy Zhong


Accounting for network noise in graph-guided Bayesian modeling of structured high-dimensional data

Wenrui Li, Changgee Chang, Suprateek Kundu, and Qi Long


Efficient computation of high-dimensional penalized generalized linear mixed models by latent factor modeling of the random effects

Hillary M. Heiling, Naim U. Rashid, Quefeng Li, Xianlu L. Peng, Jen Jen Yeh,  and Joseph G. Ibrahim


Case weighted power priors for hybrid control analyses with time-to-event data

Evan Kwiatkowski, Jiawen Zhu, Xiao Li, Herbert Pang, Grazyna Lieberman, and Matthew A. Psioda


Estimating the size of a closed population by modeling latent and observed heterogeneity

Francesco Bartolucci and Antonio Forcina


Fitting the Cox proportional hazards model to big data

Jianqiao Wang, Donglin Zeng, and D. Y. Lin


Soft classification and regression analysis of audiometric phenotypes of age-related hearing loss

Ce Yang, Benjamin Langworthy, Sharon Curhan, Kenneth I. Vaden Jr., Gary Curhan, Judy R. Dubno, and Molin Wang


Confounder-dependent Bayesian mixture model: Characterizing heterogeneity of causal effects in air pollution epidemiology

Dafne Zorzetto, Falco Joannes Bargagli Stoffi, Antonio Canale, and Francesca Dominici


Conditional modeling of panel count data with partly interval-censored failure event

Xiangbin Hu, Wen Su, Zhi-Sheng Ye, and Xingqiu Zhao


High-dimensional multi-subject time series transition matrix inference with application to brain connectivity analysis

Xiang Lyu, Jian Kang, and Lexin Li


LEAP: The latent exchangeability prior for borrowing information from historical data

Ethan M. Alt, Xiuya Chang, Xun Jiang, Qing Liu, May Mo, H. Amy Xia, and Joseph G. Ibrahim