Papers to Appear

Editorial

Report of the Editors - 2025

Biometric Methodology Discussion Paper

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

Biometric Methodology

Simultaneous clustering and estimation of additive shape invariant models for recurrent event data

Zitong Zhang and Shizhe Chen

Rank-adaptive covariance testing with applications to genomics and neuroimaging

David Veitch, Yinqiu He, and Jun Young Park

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

T. Burnett and T. Jaki

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

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

Nonparametric ANCOVA for longitudinal outcomes in a randomized clinical trial

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

A robust covariate-balancing method for estimating individualized treatment with censored data

Rujia Zheng, Wensheng Zhu, and Xiaofan Guo

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

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

Jingmao Li, Qingzhao Zhang, and Shuangge Ma

Generalized entropy calibration for analyzing voluntary survey data

Yonghyun Kwon, Jae Kwang Kim, and Yumou Qiu

Variable selection in functional linear Cox model

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

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

Jing Ma

Reduced varying coefficient models for regional quantile regression with multiple responses

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

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

Yingzhou Liu and Menggang Yu

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

Jinhong Li, Julie M. Donohue, and Lu Tang

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

Weijian Huang, Qing Mai, and Jing Zeng

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

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

Oleksandr Laskorunskyi, Snigdhansu Chatterjee, and Itai Dattner

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

Chao Cheng and Fan Li

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

Doubly balanced samples with dynamic sample sizes

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

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

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

Tina Košuta, Erik Langerholc, and Rok Blagus

Scalable and distributed individualized treatment rules for multi-center datasets

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

Bayesian inference for Cox regression models using catalytic prior distributions

Weihao Li and Dongming Huang

Quasi-likelihood estimation for semiparametric circular regression models

Anna Gottard, Andrea Meilán-Vila, and Agnese Panzera

Inhomogeneous mark correlation functions for general marked point processes

Mehdi Moradi and Matthias Eckardt

Estimating optimal dynamic treatment regimes with Gaussian process emulation

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

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

An adaptive design for optimizing treatment assignment in randomized clinical trials

Wei Zhang, Zhiwei Zhang, and Aiyi Liu

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

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

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

Biometric Practice

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

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

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

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

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

A framework for causal estimand selection under positivity violations

Martha Barnard, Jared D. Huling, and Julian Wolfson

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

Maria Josefsson, Nina Karalija, and Michael J. Daniels

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

Myeonggyun Lee, Mengling Liu, and Shanshan Zhao

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

Yunhe Liu, Satrajit Roychoudhury, and Wei Wei

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

Xiaodan Zhou, Shu Yang, and Brian J. Reich

Reader Reaction

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

Book Reviews

Bayesian inference: theory, methods, computations by Silvelyn Zwanzig and Rauf Ahmad, Chapman & Hall/CRC, 2024, ISBN: 9781003221623, https://www.routledge.com/Bayesian-Inference-Theory-Methods-Computations/Zwanzig-Ahmad/p/book/9781032118093

Kenneth Rice

Computational aspects of psychometric methods with R by Patricia Martinková and Adéla Hladká, Chapman & Hall/CRC, 2023, ISBN: 9781003054313, https://doi.org/10.1201/9781003054313

Jinyuan Liu

Applied microbiome statistics: correlation, association, interaction and composition by Yinglin Xia and Jun Sun, Chapman & Hall/CRC, 2024, ISBN: 9780367639716, https://doi.org/10.1201/9781003121572

Kris Sankaran

Fundamental statistical concepts and techniques in the biological and environmental sciences by A. Bradley Duthie, Chapman & Hall/CRC, 2024, ISBN: 9781032692388 https://doi.org/10.1201/9781032692388

Morenikeji Akinlotan, Mildred Mmbone Lumwamu, and Kerrie Mengersen

Corrections

Correction to: A novel statistical test for treatment differences in clinical trials using a response-adaptive forward-looking Gittins Index Rule

Correction to: Continuous-time mediation analysis for repeatedly measured mediators and outcomes

Papers to appear in future issues of Biometrics

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

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

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

Lily Koffman and Ciprian M. Crainiceanu

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

Daniel Fuller and Kevin Stanley

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

Matthew Reimherr and Haotian Lin

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

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

Kelly Van Lancker and Oliver Dukes

Rejoinder to the discussion on "Nonparanormal adjusted marginal inference"

Susanne Dandl and Torsten Hothorn

Bayesian joint additive factor models for multiview learning

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

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

Scalable Gaussian process regression via median posterior inference for estimating the health effects of an environmental mixture

Aaron Sonabend, Jiangshan Zhang, Edgar Castro, Joel Schwartz, Brent A. Coull, and Junwei Lu

Measurement error-robust causal inference via constructed instrumental variables

Caleb H. Miles, Linda Valeri, and Brent Coull

Two-phase designs for cost-effective evaluation of cancer screening tests

Fangya Mao, Richard J. Cook, Thomas Lorey, Nicolas Wentzensen, and Li C. Cheung

Personalized treatment design in the context of functional confounding

Zhixian Yang, Peijun Sang, Yixin Han, Bei Jiang, Linglong Kong, and Xingcai Zhou

Bayesian shrinkage priors for penalized synthetic control estimators in the presence of spillovers

Esteban Fernández-Morales, Arman Oganisian, and Youjin Lee

A zero-inflated hierarchical generalized transformation model to address non-normality in spatially-informed cell-type deconvolution

Hunter J. Melton, Jonathan R. Bradley, and Chong Wu

Borrowing strength across exposures and outcomes via index models for multi-pollutant mixtures

Glen McGee and Joseph Antonelli

Detection of multiple influential observations on model selection

Dongliang Zhang, Masoud Asgharian, and Martin A. Lindquist

Borrowing information from an unidentifiable model: Guaranteed efficiency gain with a dichotomized outcome in the external data

Lu Wang, Yanyuan Ma, and Jiwei Zhao

Knowledge-guided Bayesian biclustering model for omics data with noisy graphs

Qiyiwen Zhang, Wenrui Li, Suprateek Kundu, and Qi Long

Regression methods for cost-effectiveness analysis with different censoring times or terminating events for survival time and costs

Dingning Liu and Shuai Chen

Bayesian adaptive randomization in the I-SPY2 sequential multiple assignment randomized trial

Peter Norwood, Christina Yua, Denise Wolf, Philip Beineke, Andrew Chapple, Anastasios Tsiatis, and Marie Davidian

A novel exact confidence interval for the difference of proportions in paired data using a restricted most probable statistic

Xingyun Cao, Weizhen Wang, and Tianfa Xie

Pseudo-observation regression for sequentially truncated data

Jing Qian, Erik T. Parner, Morten Overgaard, and Rebecca A. Betensky

A regularized multi-state model for covariate selection with interval-censored survival data

Ariane Bercu, Agathe Guilloux, Cécile Proust-Lima, and Hélène Jacqmin-Gadda

Efficient collaborative learning of the average treatment effect

Sijia Li and Rui Duan 

Efficient interaction analysis in randomized controlled trials

Likun Zhang and Wei Ma

Q-learning with clustered-SMART (cSMART) data: Examining moderators in the construction of clustered adaptive interventions

Yao Song, Kelly Speth, Amy Kilbourne, Andrew Quanbeck, Daniel Almirall, and Lu Wang

Heterogeneous causal mediation analysis using Bayesian additive regression trees

Chen Liu, Xu Qin, Victor B. Talisa, and Jiebiao Wang

Correcting random effect distributions to account for survivorship bias in individual heterogeneity Cormack-Jolly-Seber models

Blanca Sarzo, Ruth King, and Rachel McCrea

Joint modeling of multiple longitudinal biomarkers and survival outcomes via threshold regression: Variability as a predictor

Mingyan Yu, Zhenke Wu, Michelle M. Hood, Carrie Karvonen-Gutierrez, Siobán D. Harlow, and Michael R. Elliott

Finite mixtures of linear quantile regressions with concomitant variables: a solution to endogeneity in longitudinal data modeling

Marco Alfó, Maria Francesca Marino, and Francesca Martella

A mixed effect similarity matrix regression model (SMRmix) for integrating multiple microbiome datasets at the community level

Mengyu He and Ni Zhao

Competing-triggering effect models for multi-type recurrent events data

Tianhao Song, Jason Fine, Payal Khincha, Anastasia Ivanova, and Paul Albert

One-at-a-time knockoffs

Charlie K. Guan, Zhimei Ren, and Daniel W. Apley

Uncertainty quantification and multi-stage variable selection for personalized treatment regimes

Jiefeng Bi, Matteo Borrotti, and Bernardo Nipoti

Two-phase designs for biomarker studies when disease processes are under intermittent observation

Kecheng Li and Richard J. Cook

The underlap coefficient as a measure of a biomarker’s discriminatory ability

Zhaoxi Zhang, Vanda Inacio, and Miguel de Carvalho

Mixed membership latent variable model with unknown factors, factor loadings and number of extreme profiles

Yuyang He, Xinyuan Song, and Kai Kang

Learning association from multiple intermediate events for dynamic prediction of survival: an application to cardiovascular disease prognosis

Tonghui Yu and Liming Xiang

Integrative learning of individualized treatment rules from multiple studies with partially overlapping treatments

Yuan Bian, Donglin Zeng, Hyun-Joon Yang, Leanne M. Williams, and Yuanjia Wang

Causal inference targeting a concentration index for studies of health inequalities

Mohammad Ghasempour, Xavier de Luna, and Per E. Gustafsson

A three-groups non-local model for combining heterogeneous data sources to identify genes associated with Parkinson’s disease

Troy P. Wixson, Benjamin A. Shaby, Daisy L. Philtron, IPDG Consortium, Leandro A. Lima, Stacia K. Wyman, Julia A. Kaye, and Steven Finkbeiner

Targeted maximum likelihood estimation for mediation analysis with multiple time-varying mediators

Yan-Lin Chen, Yun-Hao Chang, and Sheng-Hsuan Lin

Multivariate causal effects: a Bayesian causal regression factor model

Dafne Zorzetto, Jenna Landy, Corwin Zigler, Giovanni Parmigiani, and Roberta De Vito

Decentralized EM algorithm for Gaussian mixtures under data heterogeneity and partial labeling

Xuetong Li, Shuyuan Wu, Bin Du, and Hansheng Wang

A Bayesian phase I/II platform design with data augmentation accounting for delayed outcomes

Wentao Yang, Rongji Mu, and Zhangsheng Yu

TITE-Safety: A robust time-to-event safety monitoring approach for clinical trials

Michael J. Martens, Qinghua Lian , and Brent R. Logan

Heterogeneity learning in distributed networks with large scale survival data

Tingting Cai, Tao Hu, Jianguo Sun, and Mengqi Xie

A Bayesian decision-theoretic approach to multiple testing in basket trials

Amartya Kumar Maulik and Tianjian Zhou

Nonparametric motion control in functional connectivity studies in children with autism spectrum disorder

Jialu Ran, Sarah Shultz, Benjamin B. Risk, and David Benkeser