Papers to Appear

Biometric Methodology Discussion Paper

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

Biometric Methodology

Regularized principal spline functions to mitigate spatial confounding

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

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

COCA: A randomized Bayesian design integrating dose optimization and component contribution assessment for combination therapies

Xiaohan Chi, Ruitao Lin, and Ying Yuan

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

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

Nonparametric estimators of hazard ratios for comparing two survival curves

Mihai Giurcanu and Theodore Karrison

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

Stijn Vansteelandt

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

Nina Deliu and Sofia S. Villar

Variant specific treatment effects with applications in vaccine studies

Gellért Perényi and Mats Stensrud

Estimating optimally tailored active surveillance strategy under interval censoring

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

Nonparametric assessment of regimen response curve estimators

Cuong Pham, Benjamin R. Baer, and Ashkan Ertefaie

Semiparametric joint modeling for biomarker trajectory before disease onset

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

Conformal predictive intervals in survival analysis: a resampling approach

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

Probabilistic exponential family inverse regression and its applications

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

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

Robust and efficient semi-supervised learning for Ising model

Daiqing Wu and Molei Liu

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

Qingning Zhou and Xu Cao

Distance weighted directional regression for Fréchet sufficient dimension reduction

Chao Ying, Zhou Yu, and Xin Zhang

Data integration methods for micro-randomized trials

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

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

Addressing confounding and continuous exposure measurement error using corrected score functions

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

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

Chenyin Gao, Xiang Zhang, and Shu Yang

Multiple bias calibration for valid statistical inference under nonignorable nonresponse

Seonghun Cho, Jae-Kwang Kim, and Yumou Qiu

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

Wei Xiong, Han Pan, and Tong Shen

Optimal dynamic treatment regime estimation in the presence of nonadherence

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

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

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

Statistical Inference on the relative risk following covariate-adaptive randomization

Fengyu Zhao, Yang Liu, and Feifang Hu

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

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

Biometric Practice

Leveraging two-phase data for improved prediction of survival outcomes with application to nasopharyngeal cancer

Eun Jeong Oh, Seungjun Ahn, Tristan Tham, and Min Qian

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

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

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

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

Discrete-time competing-risks regression with or without penalization

Tomer Meir and Malka Gorfine

Book Reviews

Functional data analysis with R by Ciprian M. Crainiceanu, Jeff Goldsmith, Andrew Leroux, and Erjia Cui, Chapman and Hall/CRC, 2024, ISBN: 9781032244716 https://www.routledge.com/Functional-data-analysis-with-R/Crainiceanu-Goldsmith-Leroux-Cui/p/book/9781032244716

Design and Analysis of Pragmatic Trials by Song Zhang, Chul Ahn, Hong Zhu, Chapman and Hall/CRC, 2023, ISBN: 9781003126010https://www.routledge.com/Design-and-Analysis-of-Pragmatic-Trials/Zhang-Ahn-Zhu/p/book/9781003126010

Papers to appear in future issues of Biometrics

Precision generalized Phase I-II designs

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

Cumulative incidence function estimation using population-based biobank data

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

Frequency band analysis of nonstationary multivariate time series

Raanju R. Sundararajan and Scott A. Bruce

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

Fangting Zhou, Kejun He, and Yang Ni

A flexible framework for N-mixture occupancy models: applications to breeding bird surveys

Huu-Dinh Huynh, J. Andrew Royle, and Wen-Han Hwang

Sparse two-stage Bayesian meta-analysis for individualized treatments

Junwei Shen, Erica E. M. Moodie, and Shirin Golchi

Inference on age-specific fertility in ecology and evolution. Learning from other disciplines and improving the state of the art

Fernando Colchero

Simple simulation based reconstruction of incidence rates from death data

Simon N. Wood

Doubly robust nonparametric estimators of the predictive value of covariates for survival data

Torben Martinussen and Mark J. van der Laan

Multiple tests for restricted mean time lost with competing risks data

Merle Munko, Dennis Dobler and Marc Ditzhaus

A positivity robust strategy to study effects of switching treatment

Matias Janvin, Pål Christie Ryalen, Aaron L. Sarvet, and Mats J. Stensrud

Adjusted predictions for generalized estimating equations

Francis K.C. Hui, Samuel Muller, and A. H. Welsh

Using model-assisted calibration methods to improve efficiency of regression analyses using two-phase samples or pooled samples under complex survey designs

Lingxiao Wang

Two-stage estimators for spatial confounding with point-referenced data

Nate Wiecha, Jane A. Hoppin, and Brian J. Reich

Smooth and shape-constrained quantile distributed lag models

Yisen Jin, Aaron J. Molstad, Ander Wilson, and Joseph Antonelli

Negative binomial mixed effects location-scale models for intensive longitudinal count-type physical activity data provided by wearable devices

Qianheng Ma, Genevieve F. Dunton, and Donald Hedeker

Correction to “Propensity weighting plus adjustment in proportional hazards model is not doubly robust,” by Erin E. Gabriel, Michael C. Sachs, Ingeborg Waernbaum, Els Goetghebeur, Paul F. Blanche, Stijn Vansteelandt, Arvid Sjölander, and Thomas Scheike; Volume 80, Issue 3, September 2024, https://doi.org/10.1093/biomtc/ujae069

Improved prediction and flagging of extreme random effects for non-Gaussian outcomes using weighted methods

John Neuhaus, Charles McCulloch, and Ross Boylan

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

Vito M.R. Muggeo

Regression analysis of interval-censored failure time data with change points and a cured subgroup

Yichen Lou, Mingyue Du, and Xinyuan Song

Valid and efficient inference for nonparametric variable importance in two-phase studies

Guorong Dai, Raymond J. Carroll, and Jinbo Chen

Covariance-on-covariance regression

Yi Zhao and Yize Zhao

A monotone single-index model for spatially-referenced multistate current status data

Snigdha Das, Minwoo Chae, Debdeep Pati, and Dipankar Bandyopadhyay

Causal machine learning for heterogeneous treatment effects in the presence of missing outcome data

Matthew Pryce, Karla Diaz-Ordaz, Ruth H. Keogh, and Stijn Vansteelandt

Semiparametric joint modeling to estimate the treatment effect on a longitudinal surrogate with application to chronic kidney disease trials

Xuan Wang, Jie Zhou, Layla Parast, and Tom Greene

Sensitivity analysis for attributable effects in case$^2$ studies

Kan Chen, Ting Ye, and Dylan Small

Evaluating longitudinal treatment effects for Duchenne muscular dystrophy using dynamically enriched Bayesian small sample, sequential, multiple assignment randomized trial (snSMART)

Sidi Wang, Satrajit Roychoudhury, and Kelley M. Kidwell

Mastering rare event analysis: Subsample-size determination in Cox and logistic regressions

Tal Agassi, Nir Keret, and Malka Gorfine

High-dimensional multi-study multi-modality covariate-augmented generalized factor model

Wei Liu and Qingzhi Zhong

Semi-supervised linear regression: enhancing efficiency and robustness in high dimensions

Kai Chen and Yuqian Zhang

Model robust designs for dose-response models

Belmiro P.M. Duarte, Anthony C. Atkinson and Nuno M.C. Oliveira

A group distributional ICA method for decomposing multi-subject diffusion tensor imaging

Guangming Yang, Ben Wu, Jian Kang, and Ying Guo

Estimating associations between cumulative exposure and health via generalized distributed lag non-linear models using penalized splines

Tianyi Pan, Hwashin Hyun Shin, Glen McGee, and Alex Stringer

Revisiting optimal allocations for binary responses: Insights from considering type-I error rate control

Lukas Pin, Sofia S. Villar, and William F. Rosenberger

Joint disease mapping for bivariate count data with residual correlation due to unknown number of common cases

Edouard Chatignoux, Zoé Uhry, Laurent Remontet, and Isabelle Albert

Randomized optimal selection design for dose optimization

Shuqi Wang, Ying Yuan, and Suyu Liu

Bayesian inference for copy number intra-tumoral heterogeneity from single-cell RNA-sequencing data

PuXue Qiao, Chun Fung Kwok, Guoqi Qian, and Davis J. McCarthy