Papers to Appear

Report of the Editors - 2023

Biometric Methodology

Discussion Paper

The central role of the identifying assumption in population size estimation

Serge Aleshin-Guendel, Mauricio Sadinle, and Jon Wakefield


Ruth King, Rachel McCrea, and Antony Overstall


John Whitehead


Daniel Manrique-Vallier


Li-Chun Zhang


Serge Aleshin-Guendel, Mauricio Sadinle, and Jon Wakefield

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

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

Fitting the Cox proportional hazards model to big data

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

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

Asymptotic uncertainty of false discovery proportion

Meng Mei, Tao Yu, and Yuan Jiang

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

Changing interim monitoring in response to internal clinical trial data

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

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

Comparing two spatial variables with the probability of agreement

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

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

Ozge Sahin and Claudia Czado

Semi-supervised transfer learning for evaluation of model classification performance

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

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

Jinjin Tian, Jing Lei, and Kathryn Roeder

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

Lei Ge, Tao Hu, and Yang Li

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

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

Sparse ordinal discriminant analysis

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

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

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

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

Layla Parast, Tianxi Cai, and Lu Tian

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

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

Nonparametric predictive model for sparse and irregular longitudinal data

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

Clustering blood donors via mixtures of product partition models with covariates

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

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

Yong Zang, Peter F. Thall, and Ying Yuan

Randomized phase II selection design with order constrained strata

Yi Chen and Menggang Yu

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

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

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

Yao Song and Lu Wang

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

A Bayesian survival treed hazards model using latent Gaussian processes

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

Personalized treatment selection via product partition models with covariates

Matteo Pedone, Raffaele Argiento, and Francesco C. Stingo

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

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

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

Bo Liu, Lisa Wruck, and Li Fan

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

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

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

Multiple augmented reduced rank regression for pan-cancer analysis

Jiuzhou Wang and Eric F. Lock

Biometric Practice

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

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

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

Inferring a directed acyclic graph of phenotypes from GWAS summary statistics

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

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

Merging or ensembling: integrative analysis in multiple neuroimaging studies

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

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

Individualized treatment rule characterization via a value function surrogate

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

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

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

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

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

Book Reviews

Bayesian nonparametric for causal inference and missing data by Michael J. Daniels, Antonio Linero, and Jason Roy, CRC Press, 2023 ISBN-13: 978-0367341008, 

Li-Pang Chen

Sparse graphical modeling for high dimensional data: a paradigm of conditional independence tests by Faming Liang and Bochao Jia, CRC Press, 2023 ISBN-13: 978-0367183738, 

Li-Pang Chen

Papers to appear in future issues of Biometrics

Bayesian meta-analysis of penetrance for cancer risk

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


Gianluca Baio


Peter Müller and Bernardo Flores


Sudipto Banerjee


Moreno Ursino and Sarah Zohar


Paul Gustafson

Rejoinder to the discussion on "Bayesian meta-analysis of penetrance for cancer risk"

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

On exact randomization-based covariate-adjusted confidence intervals

Jacob Fiksel

Rejoinder to "On exact randomization-based covariate-adjusted confidence intervals"

Ke Zhu and Hanzhong Liu

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

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

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

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

Behavioral carry-over effect and power consideration in crossover trials

Danni Shi and Ting Ye

Deep partially linear Cox model for current status data

Qiang Wu, Xingwei Tong, and Xingqiu Zhao

PathGPS: Discover shared genetic architecture using GWAS summary data

Zijun Gao, Trevor Hastie, and Qingyuan Zhao

Well-spread samples with dynamic sample sizes

Blair Robertson, Chris Price, and Marco Reale

Single proxy control

Chan Park, David B. Richardson, and Eric J. Tchetgen Tchetgen

Topical hidden genome: discovering latent cancer mutational topics using a Bayesian multilevel context-learning approach

Saptarshi Chakraborty, Zoe Guan, Colin B. Begg, and Ronglai Shen

Identifying temporal pathways using biomarkers in the presence of latent non-Gaussian components

Shanghong Xie, Donglin Zeng, and Yuanjia Wang

Reader Reaction: Direct and indirect treatment effects in the presence of semi-competing risks

Yuhao Deng, Yi Wang, and Xiao-Hua Zhou

Addressing age measurement errors in fish growth estimation from length-stratified samples

Nan Zheng, Atefeh Kheirollahi, and Yildiz Yilmaz

High-dimensional covariate-augmented overdispersed Poisson factor model

Wei Liu and Qingzhi Zhong

Testing conditional quantile independence with functional covariate

Yongzhen Feng, Jie Li, and Xiaojun Song

Regression models for average hazard

Hajime Uno, Lu Tian, Miki Horiguchi, Satoshi Hattori, and Kenneth L. Kehl

Efficient data integration under prior probability shift

Ming-Yueh Huang, Jing Qin, and Chiung-Yu Huang

Sequential covariate-adjusted randomization via hierarchically minimizing Mahalanobis distance and marginal imbalance

Haoyu Yang, Yichen Qin, Yang Li, and Feifang Hu

Doubly robust estimation and sensitivity analysis for marginal structural quantile models

Chao Cheng, Liangyuan Hu, and Fan Li

Integrating randomized and observational studies to estimate optimal dynamic treatment regimes

Anna Batorsky, Kevin J. Anstrom, and Donglin Zeng

A Bayesian semi-parametric model for learning biomarker trajectories and changepoints in the preclinical phase of Alzheimer’s disease

Kunbo Wang, William Hua, MeiCheng Wang, and Yanxun Xu

Robustness of response-adaptive randomization

Xiaoqing Ye, Feifang Hu, and Wei Ma

Dissecting the colocalized GWAS and eQTLs with mediation analysis for high dimensional exposures and confounders

Qi Zhang, Zhikai Yang, and Jinliang Yang

Incorporating nonparametric methods for estimating causal excursion effects in mobile health with zero-inflated count outcomes

Xueqing Liu, Tianchen Qian, Lauren Bell, and Bibhas Chakraborty

Doubly robust proximal synthetic controls

Hongxiang Qiu, Xu Shi, Wang Miao, Edgar Dobriban, and Eric Tchetgen Tchetgen

Efficient testing of the biomarker positive and negative subgroups  in a biomarker-stratified trial

Lang Li and Anastasia Ivanova

A Bayesian convolutional neural network-based generalized linear model

Yeseul Jeon, Won Chang, Seonghyun Jeong, Sanghoon Han, and Jaewoo Park

Differential recall bias in estimating treatment effects in observational studies

Suhwan Bong, Kwonsang Lee, and Francesca Dominici