Subject: New issue: Biometrics, Volume 81, Issue 1, March 2025

Biometrics

Biometrics

Volume 81, Issue 1, March 2025

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Editorial

Report of the Editors'2024

Biometric Methodology

Regression to the mean for bivariate distributions

Manzoor Khan,Jake Olivier

Bayesian nonparametric trees for principal causal effects

Chanmin Kim,Corwin Zigler

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

Xiaomeng Ju,Hyung G Park and others

Statistical inference on change points in generalized semiparametric segmented models

Guangyu Yang,Baqun Zhang and others

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

Kelly Van Lancker,Joshua F Betz and others

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

Jie He,Yumou Qiu and others

Addressing selection bias in cluster randomized experiments via weighting

Georgia Papadogeorgou,Bo Liu and others

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

Peter Chang,Arkaprava Roy

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

Gary Hettinger,Youjin Lee and others

The subtype-free average causal effect for heterogeneous disease etiology

A Sasson,M Wang and others

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

Michael Sweeting,Daniel Slade and others

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 and others

Combining experimental and observational data through a power likelihood

Xi Lin,Jens Magelund Tarp and others

Composite likelihood inference for space-time point processes

Abdollah Jalilian,Francisco Cuevas-Pacheco and others

Feature screening for metric space-valued responses based on Fréchet regression with its applications

Bing Tian,Jian Kang and others

Pseudo-observations for bivariate survival data

Yael Travis-Lumer,Micha Mandel and others

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

Yanghong Guo,Lei Yu and others

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

Xiufan Yu,Linjun Zhang and others

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

Daxuan Deng,Lijun Zhang and others

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

Ajmery Jaman,Guanbo Wang and others

High-dimensional partially linear functional Cox models

Xin Chen,Hua Liu and others

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

Tsung-Hung Yao,Yang Ni and others

Distributed model building and recursive integration for big spatial data modeling

Emily C Hector,Brian J Reich and others

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

Wancen Mu,Jiawen Chen and others

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

Jian Sun,Bo Fu and others

Biometric Practice

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

Christopher S McMahan,Chase N Joyner and others

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 and others

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

Florian Stijven,Trung Dung Tran and others

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

Ying Cui,Qi Yu and others

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

Qian Ye,Lang Wu and others

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

Tingyi Cao,Harrison T Reeder and others

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

Tianyu Zhan,Jian Kang

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

Camila Olarte Parra,Rhian M Daniel and others

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

Jennifer F Bobb,Stephen J Mooney and others

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

Pan Liu,Yaguang Li and others

Causal inference with cross-temporal design

Yi Cao,Pedro L Gozalo and others

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

International Biometric Society

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