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Volume 81, Issue 1, March 2025
Editorial
Report of the Editors—2024
Biometrics, Volume 81, Issue 1, March 2025, ujaf004, https://doi.org/10.1093/biomtc/ujaf004
Biometric Methodology
Regression to the mean for bivariate distributions
Biometrics, Volume 81, Issue 1, March 2025, ujaf033, https://doi.org/10.1093/biomtc/ujaf033
Bayesian nonparametric trees for principal causal effects
Biometrics, Volume 81, Issue 1, March 2025, ujaf024, https://doi.org/10.1093/biomtc/ujaf024
Bayesian scalar-on-network regression with applications to brain functional connectivity
Biometrics, Volume 81, Issue 1, March 2025, ujaf023, https://doi.org/10.1093/biomtc/ujaf023
Statistical inference on change points in generalized semiparametric segmented models
Biometrics, Volume 81, Issue 1, March 2025, ujaf022, https://doi.org/10.1093/biomtc/ujaf022
Combining covariate adjustment with group sequential, information-adaptive designs to improve randomized trial efficiency
Biometrics, Volume 81, Issue 1, March 2025, ujaf020, https://doi.org/10.1093/biomtc/ujaf020
Positive-definite regularized estimation for high-dimensional covariance on scalar regression
Biometrics, Volume 81, Issue 1, March 2025, ujaf017, https://doi.org/10.1093/biomtc/ujaf017
Addressing selection bias in cluster randomized experiments via weighting
Biometrics, Volume 81, Issue 1, March 2025, ujaf013, https://doi.org/10.1093/biomtc/ujaf013
Individualized multi-treatment response curves estimation using RBF-net with shared neurons
Biometrics, Volume 81, Issue 1, March 2025, ujaf019, https://doi.org/10.1093/biomtc/ujaf019
Multiply robust difference-in-differences estimation of causal effect curves for continuous exposures
Biometrics, Volume 81, Issue 1, March 2025, ujaf015, https://doi.org/10.1093/biomtc/ujaf015
The subtype-free average causal effect for heterogeneous disease etiology
Biometrics, Volume 81, Issue 1, March 2025, ujaf016, https://doi.org/10.1093/biomtc/ujaf016
Potential outcome simulation for efficient head-to-head comparison of adaptive dose-finding designs
Biometrics, Volume 81, Issue 1, March 2025, ujaf012, https://doi.org/10.1093/biomtc/ujaf012
A simple and powerful method for large-scale composite null hypothesis testing with applications in mediation analysis
Biometrics, Volume 81, Issue 1, March 2025, ujaf011, https://doi.org/10.1093/biomtc/ujaf011
Instrumental variable estimation of complier casual treatment effects with interval-censored competing risks data
Biometrics, Volume 81, Issue 1, March 2025, ujaf010, https://doi.org/10.1093/biomtc/ujaf010
Combining experimental and observational data through a power likelihood
Biometrics, Volume 81, Issue 1, March 2025, ujaf008, https://doi.org/10.1093/biomtc/ujaf008
Composite likelihood inference for space-time point processes
Biometrics, Volume 81, Issue 1, March 2025, ujaf009, https://doi.org/10.1093/biomtc/ujaf009
Feature screening for metric space-valued responses based on Fréchet regression with its applications
Biometrics, Volume 81, Issue 1, March 2025, ujaf007, https://doi.org/10.1093/biomtc/ujaf007
Pseudo-observations for bivariate survival data
Biometrics, Volume 81, Issue 1, March 2025, ujaf006, https://doi.org/10.1093/biomtc/ujaf006
A regularized Bayesian Dirichlet-multinomial regression model for integrating single-cell-level omics and patient-level clinical study data
Biometrics, Volume 81, Issue 1, March 2025, ujaf005, https://doi.org/10.1093/biomtc/ujaf005
A unified combination framework for dependent tests with applications to microbiome association studies
Biometrics, Volume 81, Issue 1, March 2025, ujaf001, https://doi.org/10.1093/biomtc/ujaf001
Improving estimation efficiency for survival data analysis by integrating a coarsened time-to-event outcome from an external study
Biometrics, Volume 81, Issue 1, March 2025, ujae168, https://doi.org/10.1093/biomtc/ujae168
Penalized G-estimation for effect modifier selection in a structural nested mean model for repeated outcomes
Biometrics, Volume 81, Issue 1, March 2025, ujae165, https://doi.org/10.1093/biomtc/ujae165
High-dimensional partially linear functional Cox models
Biometrics, Volume 81, Issue 1, March 2025, ujae164, https://doi.org/10.1093/biomtc/ujae164
Robust Bayesian graphical regression models for assessing tumor heterogeneity in proteomic networks
Biometrics, Volume 81, Issue 1, March 2025, ujae160, https://doi.org/10.1093/biomtc/ujae160
Distributed model building and recursive integration for big spatial data modeling
Biometrics, Volume 81, Issue 1, March 2025, ujae159, https://doi.org/10.1093/biomtc/ujae159
Gaussian processes for time series with lead–lag effects with applications to biology data
Biometrics, Volume 81, Issue 1, March 2025, ujae156, https://doi.org/10.1093/biomtc/ujae156
Weighted Q-learning for optimal dynamic treatment regimes with nonignorable missing covariates
Biometrics, Volume 81, Issue 1, March 2025, ujae161, https://doi.org/10.1093/biomtc/ujae161
Biometric Practice
A mixed-effects Bayesian regression model for multivariate group testing data
Biometrics, Volume 81, Issue 1, March 2025, ujaf028, https://doi.org/10.1093/biomtc/ujaf028
Optimal treatment regime estimation in practice: challenges and choices in a randomized clinical trial for depression
Biometrics, Volume 81, Issue 1, March 2025, ujaf026, https://doi.org/10.1093/biomtc/ujaf026
A model-free framework for evaluating the reliability of a new device with multiple imperfect reference standards
Biometrics, Volume 81, Issue 1, March 2025, ujaf025, https://doi.org/10.1093/biomtc/ujaf025
Jointly modeling means and variances for nonlinear mixed effects models with measurement errors and outliers
Biometrics, Volume 81, Issue 1, March 2025, ujaf018, https://doi.org/10.1093/biomtc/ujaf018
Sparse Bernoulli mixture modeling with negative-unlabeled data: an approach to identify and characterize long COVID
Biometrics, Volume 81, Issue 1, March 2025, ujaf021, https://doi.org/10.1093/biomtc/ujaf021
A general, flexible, and harmonious framework to construct interpretable functions in regression analysis
Biometrics, Volume 81, Issue 1, March 2025, ujaf014, https://doi.org/10.1093/biomtc/ujaf014
Estimating hypothetical estimands with causal inference and missing data estimators in a diabetes trial case study
Biometrics, Volume 81, Issue 1, March 2025, ujae167, https://doi.org/10.1093/biomtc/ujae167
Distributed lag models for retrospective cohort data with application to a study of built environment and body weight
Biometrics, Volume 81, Issue 1, March 2025, ujae166, https://doi.org/10.1093/biomtc/ujae166
Change surface regression for nonlinear subgroup identification with application to warfarin pharmacogenomics data
Biometrics, Volume 81, Issue 1, March 2025, ujae169, https://doi.org/10.1093/biomtc/ujae169
Causal inference with cross-temporal design
Biometrics, Volume 81, Issue 1, March 2025, ujae163, https://doi.org/10.1093/biomtc/ujae163
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
Biometrics, Volume 81, Issue 1, March 2025, ujaf029, https://doi.org/10.1093/biomtc/ujaf029
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
Biometrics, Volume 81, Issue 1, March 2025, ujaf032, https://doi.org/10.1093/biomtc/ujaf032
