Subject: New issue: Biometrika, Volume 112, Issue 2, 2025

Volume 112, Issue 2, 2025

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Articles

Assessing variable importance in survival analysis using machine learning

C J Wolock and others

Bayesian clustering of high-dimensional data via latent repulsive mixtures

L Ghilotti and others

Consistency of common spatial estimators under spatial confounding

Brian Gilbert and others

Semiparametric local variable selection under misspecification

D Rossell and others

Two-sample distribution tests in high dimensions via max-sliced Wasserstein distance and bootstrapping

Xiaoyu Hu and Zhenhua Lin

Improving randomized controlled trial analysis via data-adaptive borrowing

Chenyin Gao and others

Semiparametric sieve estimation for survival data with two-layer censoring

Yudong Wang and others

Fast and reliable confidence intervals for a variance component

Yiqiao Zhang and others

Super-efficient estimation of future conditional hazards based on time-homogeneous high-quality marker information

D Bagkavos and others

Anytime-valid and asymptotically efficient inference driven by predictive recursion

Vaidehi Dixit and Ryan Martin

Large-scale multiple testing of composite null hypotheses under heteroskedasticity

B Gang and T Banerjee

Doubly robust and heteroscedasticity-aware sample trimming for causal inference

S Khan and J Ugander

Noise-induced randomization in regression discontinuity designs

Dean Eckles and others

Partially factorized variational inference for high-dimensional mixed models

M Goplerud and others

An omitted variable bias framework for sensitivity analysis of instrumental variables

Carlos Cinelli and Chad Hazlett

On the partial autocorrelation function for locally stationary time series: characterization, estimation and inference

Xiucai Ding and Zhou Zhou

An improved estimator of the pair correlation function of a spatial point process

A Baddeley and others

Exact sampling of spanning trees via fast-forwarded random walks

Edric Tam and others

Efficient estimation for functional accelerated failure time models

Changyu Liu and others

Randomization inference when N equals one

Tengyuan Liang, By and Benjamin Recht

Continuous-time locally stationary wavelet processes

H A Palasciano and others

Sample splitting and assessing goodness-of-fit of time series

Richard A Davis, By and Leon Fernandes

Nonparametric data segmentation in multivariate time series via joint characteristic functions

E T McGonigle and H Cho

Miscellanea

Testable implications of outcome-independent missingness not at random in covariates

A SjÃ¶lander and S HÃ¤gg

Randomization-based Z-estimation for evaluating average and individual treatment effects

Tianyi Qu and others

The only admissible way of merging arbitrary e-values

Ruodu Wang

Bayesian inference for generalized linear models via quasi-posteriors

D Agnoletto and others

On the minimax robustness against correlation and heteroscedasticity of ordinary least squares among generalized least squares estimates of regression

Douglas P Wiens, By

Modelling directed networks with reciprocity

Rui Feng and Chenlei Leng

On the fundamental limitations of multi-proposal Markov chain Monte Carlo algorithms

F Pozza and G Zanella

Correction

Correction to: ˜Efficient estimation under data fusion'

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