Papers to Appear

Biometric Methodology

Differential recall bias in estimating treatment effects in observational studies 

Suhwan Bong, Kwonsang Lee, and Francesca Dominici

A Bayesian convolutional neural network-based generalized linear model  

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

Doubly robust estimation and sensitivity analysis for marginal structural quantile models 

Chao Cheng, Liangyuan Hu, and Fan Li

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

Lang Li and Anastasia Ivanova

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

Robustness of response-adaptive randomization 

Xiaoqing Ye, Feifang Hu, and Wei Ma

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

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

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

Testing conditional quantile independence with functional covariate 

Yongzhen Feng, Jie Li, and Xiaojun Song

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

Shanghong Xie, Donglin Zeng, and Yuanjia Wang

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

Yi Wang, Yuhao Deng, and Xiao-Hua Zhou

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

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

Nan Zheng, Atefeh Kheirollahi, and Yildiz Yilmaz

Single proxy control 

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

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

Dafne Zorzetto, Falco J. Bargagli-Stoffi, Antonio Canale, and Francesca Dominici

Well-spread samples with dynamic sample sizes 

Blair Robertson, Chris Price, and Marco Reale

Deep partially linear cox model for current status data 

Qiang Wu, Xingwei Tong, and Xingqiu Zhao

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

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

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

Xiang Lyu, Jian Kang, and Lexin Li

Biometric Practice

Discussion Paper

Bayesian meta-analysis of penetrance for cancer risk 

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

Discussion 

Sudipto Banerjee

Discussion 

Gianluca Baio

Discussion 

Peter Müller and Bernardo Flores

Discussion 

Moreno Ursino and Sarah Zohar

Discussion 

Paul Gustafson

Rejoinder

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

Integrating randomized and observational studies to estimate optimal dynamic treatment regimes 

Anna Batorsky, Kevin J. Anstrom, and Donglin Zeng

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

Qi Zhang, Zhikai Yang, and Jinliang Yang

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

High-dimensional covariate-augmented overdispersed poisson factor model 

Wei Liu and Qingzhi Zhong

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

Francesco Bartolucci and Antonio Forcina

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

Behavioral carry-over effect and power consideration in crossover trials 

Danni Shi and Ting Ye

Reader Reaction

Direct and indirect treatment effects in the presence of semicompeting risks 

Yuhao Deng, Yi Wang and Xiao-Hua Zhou

On exact randomization-based covariate-adjusted confidence intervals 

Jacob Fiksel

Rejoinder to Reader Reaction “On exact randomization-based covariate-adjusted confidence intervals” by Jacob Fiksel 

Ke Zhu and Hanzhong Liu

Book Reviews

Introduction to statistical modelling and inference by Murray Aitkin, CRC Press, 2023, ISBN: 978-1032105710, https://www.routledge.com/Introduction-to-Statistical-Modelling-and-Inference/Aitkin/p/book/9781032105710 

Chuhsing Kate Hsiao

Data science for infectious disease data analytics: an introduction with R, by Lily Wang, CRC Press, 2022 ISBN-13: 978-1032187426, https://www.routledge.com/Data-Science-for-Infectious-Disease-Data-Analytics-An-Introduction-with-R/Wang/p/book/9781032187426 

Gillian Cheng and Andrei R. Akhmetzhanov

Papers to appear in future issues of Biometrics

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

Discussion on “LEAP: The latent exchangeability prior for borrowing information from historical data” by Ethan M. Alt, Xiuya Chang, Xun Jiang, Qing Liu, May Mo, H. Amy Xia, and Joseph G. Ibrahim

D. Scott and A. Lewin

Discussion on “LEAP: The latent exchangeability prior for borrowing information from historical data” by Ethan M. Alt, Xiuya Chang, Xun Jiang, Qing Liu, May Mo, H. Amy Xia, and Joseph G. Ibrahim

Shannon D. Murphy and Alexander M. Kaizer

Discussion on “LEAP: The latent exchangeability prior for borrowing information from historical data” by Ethan M. Alt, Xiuya Chang, Xun Jiang, Qing Liu, May Mo, H. Amy Xia, and Joseph G. Ibrahim

Harlan Campbell and Paul Gustafson

PathGPS: Discover shared genetic architecture using GWAS summary data

Zijun Gao, Trevor Hastie, and Qingyuan Zhao

Bayesian inference for multivariate probit model with latent envelope

Kwangmin Lee and Yeonhee Park

Optimal refinement of strata to balance covariates

Katherine Brumberg, Dylan S. Small, and Paul R. Rosenbaum

Controlling false discovery rate for mediator selection in high-dimensional data

Ran Dai, Ruiyang Li, Seonjoo Lee, and Ying Liu

An interpretable Bayesian clustering approach with feature selection for analyzing spatially resolved transcriptomics data

Huimin Li, Bencong Zhu, Xi Jiang, Lei Guo, Yang Xie, Lin Xu, and Qiwei Li

Nonparametric receiver operating characteristic curve analysis with an imperfect gold standard

Jiarui Sun, Chao Tang, Wuxiang Xie, and Xiao-Hua Zhou

Nonparametric second-order estimation for spatiotemporal point patterns

Decai Liang, Jialing Liu, Ye Shen, and Yongtao Guan

Propensity weighting plus adjustment in proportional hazards model is not doubly robust

Erin E. Gabriel, Michael C. Sachs, Ingeborg Waernbaum, Els Goetghebeur, Paul F. Blanche, Stijn Vansteelandt, Arvid Sjölander, and Thomas Scheike

Absolute risk from double nested case-control designs: cause-specific proportional hazards models with and without augmented estimating equations

Minjung Lee and Mitchell H. Gail

Multiply robust estimation of marginal structural models in observational studies subject to covariate-driven observations

Janie Coulombe and Shu Yang

Joint structure learning and causal effect estimation for categorical graphical models

Federico Castelletti, Guido Consonni, and Marco L. Della Vedova

A generalized outcome-adaptive sequential multiple assignment randomized trial design

Xue Yang, Yu Cheng, Peter F. Thall, and Abdus S. Wahed

Causal meta-analysis by integrating multiple observational studies with multivariate outcomes

Subharup Guha and Yi Li

A Gaussian-process approximation to a spatial SIR process using moment closures and emulators

Parker Trostle, Joseph Guinness, and Brian J. Reich

Semiparametric inference of effective reproduction number dynamics from wastewater pathogen surveillance data

Isaac H. Goldstein, Daniel M. Parker, Sunny Jiang, and Volodymyr M. Minin

Visibility graph-based covariance functions for scalable spatial analysis in non-convex partially Euclidean domains

Brian Gilbert and Abhirup Datta

Improving prediction of linear regression models by integrating external information from heterogeneous populations: James-Stein Estimators

Peisong Han, Haoyue Li, Sung Kyun Park, Bhramar Mukherjee, and Jeremy M.G. Taylor

Hypothesis tests in ordinal predictive models with optimal accuracy

Yuyang Liu, Shan Luo, and Jialiang Li

Testing for similarity of multivariate mixed outcomes using generalised joint regression models with application to efficacy-toxicity responses

Niklas Hagemann, Giampiero Marra, Frank Bretz, and Kathrin Möllenhoff

The Multivariate Bernoulli detector: Change point estimation in discrete survival analysis

Willem van den Boom, Maria De Iorio, Fang Qian, and Alessandra Guglielmi

Reduced-rank clustered coefficient regression for addressing multicollinearity in heterogeneous coefficient estimation

Yan Zhong, Kejun He, and Gefei Li

Heterogeneity-aware integrative regression for ancestry-specific association studies

Aaron J. Molstad, Yanwei Cai, Alexander P. Reiner, Charles Kooperberg, Wei Sun, and Li Hsu

Towards automated animal density estimation with acoustic spatial capture-recapture

Yuheng Wang, Juan Ye, Xiaohui Li, and David L. Borchers

Factor-augmented transformation models for interval-censored failure time data

Shuwei Li, Hongxi Li, Liuquan Sun, and Xinyuan Song