Papers to Appear

Biometric Methodology

Maximized sequential probability ratio test regression

Ivair R. Silva, Joselito Montalban, and Fernando L.P. de Oliveira

Variable importance measures for heterogeneous treatment effects

Oliver J. Hines, Karla Diaz-Ordaz, and Stijn Vansteelandt

Estimating heterogeneous treatment effects for general responses

Zijun Gao and Trevor Hastie

Statistical inference on high dimensional covariate-dependent Gaussian graphical regressions

Xuran Meng, Jingfei Zhang, and Yi Li

Prediction of transition probabilities in multi-state models with nested case-control data

Yen Chang, Anastasia Ivanova, Demetrius Albanes, Jason P. Fine, and Yei Eun Shin

Joint Bayesian additive regression trees for multiple non-linear dependency networks

Licai Huang, Christine B. Peterson, and Min Jin Ha

Large row-constrained supersaturated designs for high-throughput screening

Byran J. Smucker, Stephen E. Wright, Isaac Williams, Richard C. Page, Andor J. Kiss, Surendra Bikram Silwal, Maria Weese, and David J. Edwards

A semiparametric Gaussian mixture model with spatial dependence and its application to whole-slide image clustering analysis

Baichen Yu, Jin Liu, and Hansheng Wang

Bridging the gap between design and analysis: Randomization inference and sensitivity analysis for matched observational studies with treatment doses

Jeffrey Zhang and Siyu Heng

Super learner for survival prediction in case-cohort and generalized case-cohort studies

Haolin Li, Haibo Zhou, David Couper, and Jianwen Cai

Entrywise splitting cross-validation in generalized factor models: From sample splitting to entrywise splitting

Zhijing Wang

Flexible Bayesian quantile regression for counts via generative modeling

Yuta Yamauchi, Genya Kobayashi, and Shonosuke Sugasawa

Analysis of cross-platform health communication with a network approach

Xinyan Fan, Mengque Liu, and Shuangge Ma

Federated double machine learning for high-dimensional semiparametric models

Kai Kang, Zhihao Wu, Xinjie Qian, Xinyuan Song, and Hongtu Zhu

Generalized nonparametric temporal modeling of recurrent events with application to a malaria vaccine trial

Fei Heng, Yanqing Sun, Jing Xu, and Peter B. Gilbert

Clarifying the role of the Mantel-Haenszel risk difference estimator in randomized clinical trials

Xiaoyu Qui, Yuhan Qian, Jaehwan Yi, Jinqiu Wang, Yu Du, Yanyao Yi, and Ting Ye

Deep partially linear transformation model for right-censored survival data

Junkai Yin, Yue Zhang, and Zhangsheng Yu

A Bayesian collocation integral method for system identification of ordinary differential equations

Mingwei Xu, Samuel W.K. Wong, and Peijun Sang

Adaptive stratified sampling design in two-phase studies for average causal effect estimation

Min Zeng, Qiyu Wang, Zijian Sui, Hong Zhang, and Jinfeng Xu

Double robust conditional independence test for novel biomarkers given established risk factors with survival data

Baoying Yang, Jing Qin, Jing Ning, and Yukun Liu

A regularized continuous-time hidden Markov model for identifying latent state transition patterns of poly-tobacco use

Xinyu Yan, Ji-Hyun Lee, and Xiangyang Lou

Distal causal excursion effects: Modeling long-term effects of time-varying treatments in micro-randomized trials

Tianchen Qian

SPLasso for high-dimensional additive hazards regression with covariate measurement error

Jiarui Zhang, Hongsheng Liu, Xin Chen, and Jinfeng Xu

Statistical inference for heterogeneous treatment effect with right-censored data from synthesizing randomized clinical trials and real-world data

Guangcai Mao, Shu Yang, and Xiaofei Wang

Inverse-intensity weighted GEEs for longitudinal data subject to irregular observation: which variables should be included in the visit rate model?

Eleanor M. Pullenayegum and Di Shan

A meta-learning method for estimation of causal excursion effects to assess time-varying moderation

Jieru Shi and Walter Dempsey

Randomized optimal selection design for dose optimization

Shuqi Wang, Ying Yuan, and Suyu Liu

Biometric Practice

Structuring, sequencing, staging, selecting: the 4S method for the longitudinal analysis of multidimensional questionnaires in chronic diseases

Tiphaine Saulnier, Wassilios G. Meissner, Margherita Fabbri, Alexandra Foubert-Samier, and Cécile Proust-Lima

Censoring-robust estimation in fixed sample time-to-event clinical trials with adaptive randomization

Navneet R. Hakhu and Daniel L. Gillen

Stable survival extrapolation using mortality projections

Anastasios Apsemidis and Nikolaos Demiris

Flexible and efficient estimation of causal effects with error-prone exposures: A control variates approach for measurement error

Keith Barnatchez, Rachel Nethery, Bryan E. Shepherd, Giovanni Parmigiani, and Kevin P. Josey

A semiparametric method for addressing under-diagnosis using electronic health record data

Weidong Ma, Jordana B. Cohen, and Jinbo Chen

Bayesian scalar-on-image regression with spatial interactions for modeling Alzheimer’s disease

Nilanjana Chakraborty, Qi Long, and Suprateek Kundu

Bayesian monotone single-index quantile regression model with bounded response and misaligned functional covariates

Shengxian Ding, Debajyoti Sinha, Greg Hajcak, Roman Kotov, and Chao Huang

Letter to the Editors

Letter to the Editors: Comments on ‘Statistical inference on change points in generalized semiparametric segmented models’ by Yang et al. (2025)

Vito M.R. Muggeo

Rejoinder to Letter to the Editors “Comments on ‘Statistical inference on change points in generalized semiparametric segmented models’ by Yang et al. (2025)” by Vito M.R. Muggeo

Guangyu Yang and Min Zhang

Book Reviews

Statistical methods for dynamic disease screening and spatio-temporal disease surveillance by Peihua Qiu, Chapman and Hall/CRC, 2024, ISBN: 9780367685805 https://www.routledge.com/Statistical-Methods-for-Dynamic-Disease-Screening-and-Spatio-Temporal-Disease-Surveillance/Qiu/p/book/9780367685805

Xiulin Xie

Intensive longitudinal analysis of human processes by Kathleen M. Gates, Sy-Miin Chow, and Peter C. M. Molenaar, Chapman & Hall, 2023, ISBN: 9781482230598 https://www.routledge.com/Intensive-longitudinal-analysis-of-human-processes/Gates-Chow-Molenaar/p/book/9781482230598

Simon Vandekar

ROC analysis for classification and prediction in practice by Christos T. Nakas, Leonidas E. Bantis, and Constantine A. Gatsonis, Chapman & Hall/CRC, 2024, ISBN: 9781482233704, https://www.routledge.com/ROC-Analysis-for-Classification-and-Prediction-in-Practice/Nakas-Bantis-Gatsonis/p/book/9781482233704

Andrew J. Spieker and Nathaniel P. Dowd

Bayesian precision medicine by Peter F. Thall, Chapman & Hall/CRC, 2024, ISBN: 9781032754468 https://www.routledge.com/Bayesian-Precision-Medicine/Thall/p/book/9781032754468

Arman Oganisian

Acknowledgment of Referees 2025

Corrections

Correction to: Covariate-Adjusted Response-Adaptive Randomization for Multi-Arm Clinical Trials Using a Modified Forward Looking Gittins Index Rule 

Biometrics, Volume 81, Issue 4, December 2025, ujaf139, https://doi.org/10.1093/biomtc/ujaf139

Correction to: Nonparametric assessment of regimen response curve estimators 

Biometrics, Volume 81, Issue 4, December 2025, ujaf137, https://doi.org/10.1093/biomtc/ujaf137

Papers to appear in future issues of Biometrics

Causal inference with misspecified network interference structure

Bar Weinstein and Daniel Nevo

Discussion on “Causal Inference with Misspecified Network Interference Structure” by Bar Weinstein and Daniel Nevo

Fei Fang and Laura Forastiere

Discussion on “Causal Inference with Misspecified Network Interference Structure” by Bar Weinstein and Daniel Nevo

Chan Park and Hyunseung Kang

Discussion on “Causal Inference with Misspecified Network Interference Structure” by Bar Weinstein and Daniel Nevo

Fredrik Sävje

Discussion on “Causal Inference with Misspecified Network Interference Structure” by Bar Weinstein and Daniel Nevo

Daniel Malinsky

Rejoinder to the discussion on "Causal inference with misspecified network interference structure"

Bar Weinstein and Daniel Nevo

Robust integration of external control data in randomized trials

Rickard Karlsson, Guanbo Wang, Piersilvio De Bartolomeis, Jesse H. Krijthe, and Issa J. Dahabreh

Discussion on "Robust integration of external control data in randomized trials," by Rickard Karlsson, Guanbo Wang, Piersilvio De Bartolomeis, Jesse H. Krijthe, and Issa J. Dahabreh

Stef Baas, Haiyan Zheng, and Sofia S. Villar

Discussion on "Robust integration of external control data in randomized trials," by Rickard Karlsson, Guanbo Wang, Piersilvio De Bartolomeis, Jesse H. Krijthe, and Issa J. Dahabreh

Martin Posch, Stephen Senn, Franz Konig, and Dominic Magirr

Discussion on "Robust integration of external control data in randomized trials," by Rickard Karlsson, Guanbo Wang, Piersilvio De Bartolomeis, Jesse H. Krijthe, and Issa J. Dahabreh

Bjoern Bornkamp, Frank Bretz, Rima Izem, and Marius Thomas

Comment on “Double robust conditional independence test for novel biomarkers given established risk factors with survival data”

Lucas Kook

Rejoinder to Reader Reaction “Comment on ‘Double robust conditional independence test for novel biomarkers given established risk factors with survival data’ by Lucas Kook”

Baoying Yang, Jing Qin, Jing Ning, and Yukun Liu

Learning optimal early decision treatment rules with multi-domain intermediate outcomes

Wenbo Fei, Yuan Chen, Zexi Cai, Donglin Zeng, and Yuanjia Wang

INTACT: A method for integration of longitudinal physical activity data from multiple sources

Jingru Zhang, Erjia Cui, Hongzhe Li, and Haochang Shou

Discussion on “INTACT: A method for integration of longitudinal physical activity data from multiple sources” by Jingru Zhang, Erjia Cui, Hongzhe Li, and Haochang Shou

Sijia Li and Damla Senturk

An adaptive design for optimizing treatment assignment in randomized clinical trials

Wei Zhang, Zhiwei Zhang, and Aiyi Liu

Optimal design of dynamic experiments for scalar-on-function linear models with application to a biopharmaceutical study

Damianos Michaelides, Maria Adamou, David C. Woods, and Antony M. Overstall

Jointly modeling multiple endpoints for efficient treatment effect estimation in randomized controlled trials

Jack M. Wolf, Joseph S. Koopmeiners, and David M. Vock

Semiparametric piecewise accelerated failure time model for the analysis of immune-oncology clinical trials

Hisato Sunami and Satoshi Hattori

Estimating the causal effect of redlining on present-day air pollution

Xiaodan Zhou, Shu Yang, and Brian J. Reich

Estimating optimal dynamic treatment regimes with Gaussian process emulation

Daniel Rodriguez Duque, David A. Stephens, and Erica E.M. Moodie

Nonparametric estimation of the total treatment effect with multiple outcomes in the presence of terminal events

Jessica Gronsbell, Zachary R. McCaw, Isabelle-Emmanuella Nogues, Xiangshan Kong, Tianxi Cai, Lu Tian, and  LJ Wei

Nonparanormal adjusted marginal inference

Susanne Dandl and Torsten Hothorn

Discussion on “Nonparanormal adjusted marginal inference” by Susanne Dandl and Torsten Hothorn

Edward Bein

Discussion on “Nonparanormal adjusted marginal inference” by Susanne Dandl and Torsten Hothorn

Shirin Golchi

Multiple-index interaction models to accommodate exposure grouping in environmental mixtures

Myeonggyun Lee, Mengling Liu, and Shanshan Zhao

Inhomogeneous mark correlation functions for general marked point processes

Mehdi Moradi and Matthias Eckardt

Bayesian inference on Cox regression models using catalytic prior distributions

Weihao Li and Dongming Huang

Repeated inclusion cluster randomised trials: a new class of designs for assessing group-level interventions

Jessica Kasza, Kelsey L. Grantham, Rhys Bowden, Brennan C. Kahan, and Andrew B. Forbes

Improving transportability of regression calibration under the main/external validation study design

Zexiang Li, Donna Spiegelman, Molin Wang, Zuoheng Wang, and Xin Zhou

Long-term memory effects of an incremental blood pressure intervention in a mortal cohort

Maria Josefsson, Nina Karalija, and Michael J. Daniels

Bayesian randomized basket trial design: a case study from the ultra-rare invasive mould infections

Yunhe Liu, Satrajit Roychoudhury, and Wei Wei

Scalable and distributed individualized treatment rules for multi-center datasets

Nan Qiao, Wangcheng Li, Jingxiao Zhang, and Canyi Chen

Bayesian nowcasting for delay adjustments using time-varying parametric functions of cumulative reporting probability

Erick A. Chacon-Montalvan, Yang Xiao, and Paula Moraga

Quasi-likelihood estimation for semiparametric circular regression models

Anna Gottard, Andrea Meilán-Vila, and Agnese Panzera

A framework for causal estimand selection under positivity violations

Martha Barnard, Jared D. Huling, and Julian Wolfson

Making all pairwise comparisons in multi-arm clinical trials without control treatment

T. Burnett and T. Jaki

Estimation of mixed-effects ordinary differential equation models linear in the parameters

Oleksandr Laskorunskyi, Snigdhansu Chatterjee, and Itai Dattner

Bayesian joint additive factor models for multiview learning

Niccolo' Anceschi, Federico Ferrari, David B. Dunson, and Himel Mallick

Doubly balanced samples with dynamic sample sizes

Blair Robertson, Chris Price, Marco Reale, and Philip Davies

Bias mitigation in matched observational studies with continuous treatments: Calipered non-bipartite matching and bias-corrected estimation and inference

Anthony Frazier, Siyu Heng, and Wen Zhou

Non-boundary covariance matrix estimation in generalized linear mixed effects models using data augmentation priors

Tina Košuta, Erik Langerholc, and Rok Blagus

A general framework for heterogeneous variable importance: pointwise and uniform inference

Lingxuan Shao, Guorong Dai, and Jinbo Chen

Quantifying uncertainty in RNA velocity

Huizi Zhang, Natalia Bochkina, and Sara Wade

Semiparametric causal mediation analysis of cluster-randomized trials for indirect and spillover effects

Chao Cheng and Fan Li

LLOT: application of Laplacian Linear Optimal Transport in spatial transcriptome reconstruction

Junhao Zhu, Kevin Zhang, Dehan Kong, and Zhaolei Zhang

Ultra-high-dimensional threshold selection for quantile feature screening with FDR error rate control: A case study on high blood pressure analysis

Saidat Abidemi Sanni, Yan Yu, and Zhigen Zhao

Handling incomplete outcomes and covariates in cluster-randomized trials: doubly-robust estimation, efficiency considerations, and sensitivity analysis

Bingkai Wang, Fan Li, and Rui Wang

Distributed fusion R-learner of heterogeneous treatment effect using distributed Medicaid data

Jinhong Li, Julie M. Donohue, and Lu Tang

OPERA: A new algorithm for patient stratification based on partially ordered risk factors

Yingzhou Liu and Menggang Yu

SIMBA– A Bayesian decision framework for the identification of optimal biomarker subgroups for cancer basket clinical trials

Shijie Yuan, Jiaxin Liu, Zhihua Gong, Xia Qin, Crystal Qin, Yuan Ji, and Peter Müller

Reduced varying coefficient models for regional quantile regression with multiple responses

Woorim Jung, Seyoung Park, Hyokyoung G. Hong, and Eun Ryung Lee

Nonparametric ANCOVA for longitudinal outcomes in a randomized clinical trial

Rex Shen, Xiaotong Jiang, Changyu Shen, and Lu Tian

Sparse robust discriminant analysis for high-dimensional and heavy-tailed data

Weijian Huang, Qing Mai, and Jing Zeng

Inference for microbe–metabolite association networks using a latent graph model

Jing Ma

Generalized entropy calibration for analyzing voluntary survey data

Yonghyun Kwon, Jae Kwang Kim, and Yumou Qiu

Estimating treatment effects from observational data under truncation by death using survival-incorporated quantiles

Qingyan Xiang, Paola Sebastiani, Thomas T. Perls, Stacy L. Andersen, Svetlana Ukraintseva, Mikael Thinggaard, and Judith J. Lok

DNN-based semiparametric AFT model for integrating genomic and pathological imaging data in cancer prognosis

Jingmao Li, Qingzhao Zhang, and Shuangge Ma

Variable selection in functional linear Cox model

 Yuanzhen Yue, Stella Self, Yichao Wu, Jiajia Zhang, and Rahul Ghosal