Papers to Appear

Editorial

Report of the Editors--2024

Biometric Methodology

Regression to the mean for bivariate distributions

Manzoor Khan and Jake Olivier

Bayesian nonparametric trees for principal causal effects

Chanmin Kim and Corwin Zigler

Bayesian scalar-on-network regression with applications to brain functional connectivity

Xiaomeng Ju, Hyung G. Park, and Thaddeus Tarpey

Statistical inference on change points in generalized semiparametric segmented models

Guangyu Yang, Baqun Zhang, and Min Zhang

Combining covariate adjustment with group sequential, information adaptive designs to improve randomized trial efficiency

Kelly Van Lancker, Joshua F. Betz, and Michael Rosenblum

Positive-definite regularized estimation for high dimensional covariance on scalar regression

Jie He, Yumou Qiu, and Xiao-Hua Zhou

Addressing selection bias in cluster randomized experiments via weighting

Georgia Papadogeorgou, Bo Liu, Li Fan, and Li Fan

Individualized multi-treatment response curves estimation using RBF-net with shared neurons

Peter Chang and Arkaprava Roy

Multiply robust difference-in-differences estimation of causal effect curves for continuous exposures

Gary Hettinger, Youjin Lee, and Nandita Mitra

The subtype-free average causal effect for heterogeneous disease etiology

A. Sasson, M. Wang, S. Ogino, and D. Nevo

Potential outcome simulation for efficient head-to-head comparison of adaptive dose-finding designs

Michael Sweeting, Daniel Slade, Dan Jackson, and Kristian Brock

A simple and powerful method for large-scale composite null hypothesis testing with applications in mediation analysis

Yaowu Liu

Instrumental variable estimation of complier casual treatment effects with interval-censored competing risks data

Yichen Lou, Yuqing Ma, Jianguo Sun, Peijie Wang, and Zhisheng Ye

Combining experimental and observational data through a power likelihood

Xi Lin, Jens Magelund Tarp, and Robin J. Evans

Composite likelihood inference for space-time point processes

Abdollah Jalilian, Francisco Cuevas-Pacheco, Ganggang Xu, and Rasmus Waagepetersen

Feature screening for metric space-valued responses based on Fr´echet regression with its applications

Bing Tian, Jian Kang, and Wei Zhong

Pseudo-observations for bivariate survival data

Yael Travis-Lumer, Micha Mandel, and Rebecca A. Betensky

A regularized Bayesian Dirichlet-multinomial regression model for integrating single-cell-level omics and patient-level clinical study data

Yanghong Guo, Lei Yu, Lei Guo, Lin Xu, and Qiwei Li

A unified combination framework for dependent tests with applications to microbiome association studies

Xiufan Yu, Linjun Zhang, Arun Srinivasan, Min-ge Xie, and Lingzhou Xue

Improving estimation efficiency for survival data analysis by integrating a coarsened time-to-event outcome from an external study

Daxuan Deng, Lijun Zhang, Hao Feng, Vernon M. Chinchilli, Chixiang Chen, and Ming Wang

Penalized G-estimation for effect modifier selection in a structural nested mean model for repeated outcomes

Ajmery Jaman, Guanbo Wang, Ashkan Ertefaile, Michele Bally, Renee Levesque, Robert W. Platt, and Mireille E. Schnitzer

High-dimensional partially linear functional Cox models

Xin Chen, Hua Liu, Jiaqi Men, and Jinhong You

Robust Bayesian graphical regression models for assessing tumor heterogeneity in proteomic networks

Tsung-Hung Yao, Yang Ni, Anindya Bhadra, Jian Kang, and Veerabhadran Baladandayuthapani

Distributed model building and recursive integration for big spatial data modeling

Emily C. Hector, Brian J. Reich, and Ani Eloyan

Gaussian processes for time series with lead-lag effects with applications to biology data

Wancen Mu, Jiawen Chen, Eric S. Davis, Kathleen Reed, Douglas Phanstiel, Michael I. Love, and Didong Li

Weighted Q-learning for optimal dynamic treatment regimes with nonignorable missing covariates

Jian Sun, Li Su, and Bo Fu

Biometric Practice

A mixed-effects Bayesian regression model for multivariate group testing data

Christopher S. McMahan, Chase N. Joyner, Joshua M. Tebbs and Christopher R. Bilder

Evaluating the effects of high-throughput structural neuroimaging predictors on whole-brain functional connectome outcomes via network-based matrix-on-vector regression

Tong Lu, Yuan Zhang, Vince Lyzinski, Chuan Bi, Peter Kochunov, Elliot Hong, and Shuo Chen

Optimal treatment regime estimation in practice: challenges and choices in a randomized clinical trial for depression

Florian Stijven, Trung Dung Tran, Ellen Driessen, Ariel Alonso Abad, Geert Molenberghs, Geert Verbeke, and Iven Van Mechelen

A model-free framework for evaluating the reliability of a new device with multiple imperfect reference standards

Ying Cui, Qi Yu, Amita Manatunga, and Jeong Hoon Jang

Jointly modeling means and variances for nonlinear mixed effects models with measurement errors and outliers

Qian Ye, Lang Wu, and Viviane Dias Lima

Sparse Bernoulli mixture modeling with negative-unlabeled data: An approach to identify and characterize long COVID

Tingyi Cao, Harrison T. Reeder, and Andrea S. Foulkes

A general, flexible and harmonious framework to construct interpretable functions in regression analysis

Tianyu Zhan and Jian Kang

Estimating hypothetical estimands with causal inference and missing data estimators in a diabetes trial case study

Camila Olarte Parra, Rhian M. Daniel, David Wright, and Jonathan W. Bartlett

Distributed lag models for retrospective cohort data with application to a study of built environment and body weight

Jennifer F. Bobb, Stephen J. Mooney, Maricela Cruz, Anne Vernez Moudon, Adam Drewnowski, David Arterburn, and Andrea J. Cook

Change surface regression for nonlinear subgroup identification with application to warfarin pharmacogenomics data

Pan Liu, Yaguang Li, and Jialiang Li

Causal inference with cross-temporal design

Yi Cao, Pedro L. Gozalo, and Roee Gutman

Book Reviews

Spatial sampling with R by Dick J. Brus, Chapman and Hall/CRC, 2022, ISBN: 9781032193854 https://www.routledge.com/Spatial-sampling-with-R/Brus/p/book/9781032193854

Raquel Menezes

Spatial Linear Models for Environmental Data by Dale L. Zimmerman and Jay M. Ver Hoef, Chapman and Hall/CRC, 2024, ISBN: 9780367183349 https://www.routledge.com/Spatial-Linear-Models-for-Environmental-Data/Zimmerman-VerHoef/p/book/9780367183349

John Hughes

Papers to appear in future issues of Biometrics

Continuous-space occupancy models

Wilson J. Wright and Mevin B. Hooten

Discussion on “Continuous-space occupancy models” by Wilson J. Wright and Mevin B. Hooten

Léa Pautrel, Marie-Pierre Etienne, and Olivier Gimenez

Discussion on “Continuous-space occupancy models” by Wilson J. Wright and Mevin B. Hooten

Jeffrey W. Doser and Krishna Pacifici

Rejoinder to the discussion on “Continuous-space occupancy models” 

Wilson J. Wright and Mevin B. Hooten

Data integration methods for micro-randomized trials

E. Huch, I. Nahum–Shani, L. Potter, C. Lam, D. W. Wetter, and W. Dempsey

A semicompeting risks model with an application to UK biobank data to identify risk factors for diabetes onset and progression

Md Tuhin Sheikh and Hongyu Zhao

Power-enhanced two-sample mean tests for high-dimensional microbiome compositional data

Lingzhou Xue, Danning Li, Haoyi Yang, and Xiufan Yu

Robust and efficient semi-supervised learning for Ising model

Daiqing Wu and Molei Liu

Inference with approximate local false discovery rates

Rajesh Karmakar, Ruth Heller, and Saharon Rosset

Vine copula mixed models for meta-analysis of diagnostic accuracy studies without a gold standard

Aristidis K. Nikoloulopoulos

Statistical Inference on the relative risk following covariate-adaptive randomization

Fengyu Zhao, Yang Liu, and Feifang Hu

Estimating weighted quantile treatment effects with missing outcome data by double sampling

Shuo Sun, Sebastien Haneuse, Alexander W. Levis, Catherine Lee, David E. Arterburn, Heidi Fischer, Susan Shortreed, and Rajarshi Mukherjee

Precision generalized Phase I-II designs

Saijun Zhao, Peter F. Thall, Ying Yuan, Juhee Lee, Pavlos Msaouel, and Yong Zang

Discrete-time competing-risks regression with or without penalization

Tomer Meir and Malka Gorfine

Optimal dynamic treatment regime estimation in the presence of nonadherence

Dylan Spicker, Michael P. Wallace, and Grace Y. Yi

Doubly robust omnibus sensitivity analysis of externally controlled trials with intercurrent events

Chenyin Gao, Xiang Zhang, and Shu Yang

PDC-MAKES: A conditional screening method for controlling false discoveries in high-dimensional multi-response setting

Wei Xiong, Han Pan, and Tong Shen

Multiple bias calibration for valid statistical inference under nonignorable nonresponse

Seonghun Cho, Jae-Kwang Kim, and Yumou Qiu

Distance weighted directional regression for Fréchet sufficient dimension reduction

Chao Ying, Zhou Yu, and Xin Zhang

Uncovering mortality patterns and hospital effects in COVID-19 heart failure patients: a novel multilevel logistic cluster-weighted modeling approach

Luca Caldera, Chiara Masci, Andrea Cappozzo, Marco Forlani, Barbara Antonelli, Olivia Leoni, and Francesca Ieva

Addressing confounding and continuous exposure measurement error using corrected score functions

Brian D. Richardson, Bryan S. Blette, Peter B. Gilbert, and Michael G. Hudgens

Cumulative incidence function estimation using population-based biobank data

M. Gorfine, D. M. Zucker, and Shoval Shoham

A Bayesian joint longitudinal-survival model with a latent stochastic process for intensive longitudinal data

Madeline R. Abbott, Walter H. Dempsey, Inbal Nahum-Shani, Lindsey N. Potter, David W. Wetter, Cho Y. Lam, and Jeremy M.G. Taylor

Bayesian covariate-dependent graph learning with a dual group spike-and-slab prior

Zijian Zeng, Meng Li, and Marina Vannucci

A semiparametric quantile regression rank score test for zero-inflated data

Zirui Wang, Wodan Ling, and Tianying Wang

Double robust variance estimation with parametric working models

Bonnie E. Shook-Sa, Paul N. Zivich, Chanhwa Lee, Keyi Xue, Rachael K. Ross, Jessie K. Edwards, Jeffrey S. A. Stringer, and Stephen R. Cole

Improving estimation efficiency for case-cohort studies with a cure fraction

Qingning Zhou and Xu Cao

Conformal predictive intervals in survival analysis: a resampling approach

Jing Qin, Jin Piao, Jing Ning, and Yu Shen

Towards efficient and interpretable assumption-lean generalized linear modeling of continuous exposure effects

Stijn Vansteelandt

Continuous-time mediation analysis for repeatedly measured mediators and outcomes

Kateline Le Bourdonnec, Linda Valeri, and Cécile Proust-Lima

Learn-As-you-GO (LAGO) trials: Optimizing treatments and preventing trial failure through ongoing learning

Ante Bing, Donna Spiegelman, Daniel Nevo, and Judith J. Lok

Semiparametric joint modeling for biomarker trajectory before disease onset

Yifei Sun, Xiwen Zhao, Kwun Chuen Gary Chan, Wanwan Xu, Heather Allore, and Yize Zhao

Variant specific treatment effects with applications in vaccine studies

Gellért Perényi and Mats Stensrud

Probabilistic exponential family inverse regression and its applications

Daolin Pang, Rouqing Zhu, Hongyu Zhao, and Tao Wang

Nonparametric assessment of regimen response curve estimators

Cuong Pham, Benjamin R. Baer, and Ashkan Ertefaie

Estimating optimally tailored active surveillance strategy under interval censoring

Muxuan Liang, Yingqi Zhao, Daniel W. Lin, Matthew Cooperberg, and Yingye Zheng

Nonparametric estimators of hazard ratios for comparing two survival curves

Mihai Giurcanu and Theodore Karrison

On the finite-sample and asymptotic error control of a randomization-probability test for response-adaptive clinical trials

Nina Deliu and Sofia S. Villar

Frequency band analysis of nonstationary multivariate time series

Raanju R. Sundararajan and Scott A. Bruce

Power calculation for cross-sectional stepped wedge cluster randomized trials with a time-to-event endpoint

Mary Ryan Baumann, Denise Esserman, Monica Taljaard, and Fan Li

Design of platform trials with a change in the control treatment arm

Peter Greenstreet, Thomas Jaki, Alun Bedding, and Pavel Mozguno

Regularized principal spline functions to mitigate spatial confounding

Carlo Zaccardi, Pasquale Valentini, Luigi Ippoliti, and Alexandra M. Schmidt

Tree-based additive noise directed acyclic graphical models for nonlinear causal discovery with interactions

Fangting Zhou, Kejun He, and Yang Ni