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


Discussion

Ruth King, Rachel McCrea, and Antony Overstall


Discussion

John Whitehead


Discussion

Daniel Manrique-Vallier


Discussion

Li-Chun Zhang


Rejoinder

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, https://www.routledge.com/Bayesian-Nonparametrics-for-Causal-Inference-and-Missing-Data/Daniels-Linero-Roy/p/book/9780367341008 

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, https://www.routledge.com/Sparse-Graphical-Modeling-for-High-Dimensional-Data-A-Paradigm-of-Conditional/Liang-Jia/p/book/9780367183738 

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


Discussion

Gianluca Baio


Discussion

Peter Müller and Bernardo Flores


Discussion

Sudipto Banerjee


Discussion

Moreno Ursino and Sarah Zohar


Discussion

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