Biometrika

Article	Citations
Heterogeneity-aware and communication-efficient distributed statistical inference	34
Mean decrease accuracy for random forests: inconsistency, and a practical solution via the Sobol-MDA	32
On the power of Chatterjee’s rank correlation	24
Inference on the average treatment effect under minimization and other covariate-adaptive randomization methods	19
Regression adjustment in completely randomized experiments with a diverging number of covariates	17
Consistency guarantees for greedy permutation-based causal inference algorithms	16
Partial separability and functional graphical models for multivariate Gaussian processes	15
Fast and powerful conditional randomization testing via distillation	15
Searching for robust associations with a multi-environment knockoff filter	15
Componentwise approximate Bayesian computation via Gibbs-like steps	15
Propensity scores in the design of observational studies for causal effects	14
Valid sequential inference on probability forecast performance	14
Dependent censoring based on parametric copulas	14
On boosting the power of Chatterjee’s rank correlation	14
Seeded binary segmentation: a general methodology for fast and optimal changepoint detection	13
A minimum aberration-type criterion for selecting space-filling designs	12
Fréchet sufficient dimension reduction for random objects	12
Distribution-on-distribution regression via optimal transport maps	11
Sparse functional linear discriminant analysis	11
Confidence regions in Wasserstein distributionally robust estimation	11
Data integration: exploiting ratios of parameter estimates from a reduced external model	11
Graphical Gaussian process models for highly multivariate spatial data	11
Maximum likelihood estimation for semiparametric regression models with panel count data	11
Lasso-adjusted treatment effect estimation under covariate-adaptive randomization	10
Clustering consistency with Dirichlet process mixtures	10

Joint latent space models for network data with high-dimensional node variables	10
High-dimensional semi-supervised learning: in search of optimal inference of the mean	9
On the implied weights of linear regression for causal inference	9
Splitting strategies for post-selection inference	9
Generalized infinite factorization models	9
Robust differential abundance test in compositional data	8
On semiparametric modelling, estimation and inference for survival data subject to dependent censoring	8
Statistical inference for streamed longitudinal data	8
Efficient semiparametric estimation of network treatment effects under partial interference	8
Average direct and indirect causal effects under interference	7
More for less: predicting and maximizing genomic variant discovery via Bayesian nonparametrics	7
Minimax designs for causal effects in temporal experiments with treatment habituation	7
Adjusting the Benjamini–Hochberg method for controlling the false discovery rate in knockoff-assisted variable selection	7
Regression-based causal inference with factorial experiments: estimands, model specifications and design-based properties	7
Risk bounds for quantile trend filtering	7
Elicitation complexity of statistical properties	7
Scalable and accurate variational Bayes for high-dimensional binary regression models	7
Estimation of the cure rate for distributions in the Gumbel maximum domain of attraction under insufficient follow-up	6
Scalar-on-function local linear regression and beyond	6
Inverse moment methods for sufficient forecasting using high-dimensional predictors	6
A discrete bouncy particle sampler	6
High-dimensional log-error-in-variable regression with applications to microbial compositional data analysis	6
Gaussian universal likelihood ratio testing	6
Honest calibration assessment for binary outcome predictions	6
A proximal distance algorithm for likelihood-based sparse covariance estimation	6
A high-dimensional power analysis of the conditional randomization test and knockoffs	6
Functional linear regression for discretely observed data: from ideal to reality	6
Lugsail lag windows for estimating time-average covariance matrices	6
Heterogeneous coefficients, control variables and identification of multiple treatment effects	5
An approximate randomization test for the high-dimensional two-sample Behrens–Fisher problem under arbitrary covariances	5
Latent space models for multiplex networks with shared structure	5
Learning block structures in U-statistic-based matrices	5
On the inconsistency of matching without replacement	5
Semi-exact control functionals from Sard’s method	5
Multi-scale Fisher’s independence test for multivariate dependence	5
Identifiability of causal effects with multiple causes and a binary outcome	5
A generalized Bayes framework for probabilistic clustering	5
Spectral adjustment for spatial confounding	5
Localized conformal prediction: a generalized inference framework for conformal prediction	5
Linearized maximum rank correlation estimation	5
Deep Kronecker network	4
Nontestability of instrument validity under continuous treatments	4
Additive models for symmetric positive-definite matrices and Lie groups	4
A simple and general debiased machine learning theorem with finite-sample guarantees	4
Online inference with debiased stochastic gradient descent	4
Estimation of genetic correlation with summary association statistics	4
No-harm calibration for generalized Oaxaca–Blinder estimators	4
Estimation of local treatment effects under the binary instrumental variable model	4
Thresholded graphical lasso adjusts for latent variables	4
Gradient-based sparse principal component analysis with extensions to online learning	4

E-values as unnormalized weights in multiple testing	4
Targeted optimal treatment regime learning using summary statistics	4
Functional hybrid factor regression model for handling heterogeneity in imaging studies	4
A subsampling perspective for extending the validity of state-of-the-art bootstraps in the frequency domain	4
Design-based theory for cluster rerandomization	4
Populations of unlabelled networks: graph space geometry and generalized geodesic principal components	4
Optimal post-selection inference for sparse signals: a nonparametric empirical Bayes approach	4
Interpoint-ranking sign covariance for the test of independence	4
Semiparametric counterfactual density estimation	4
Soft calibration for selection bias problems under mixed-effects models	4
Estimation under matrix quadratic loss and matrix superharmonicity	4
Dimension reduction for covariates in network data	4
Separable expansions for covariance estimation via the partial inner product	3
Event history and topological data analysis	3
Discussion of ‘Estimating time-varying causal excursion effects in mobile health with binary outcomes’	3
High-dimensional linear regression via implicit regularization	3
OnF-modelling-based empirical Bayes estimation of variances	3
Decomposition, identification and multiply robust estimation of natural mediation effects with multiple mediators	3
Rejoinder: ‘Estimating time-varying causal excursion effects in mobile health with binary outcomes’	3
Instrumental variable estimation of the marginal structural Cox model for time-varying treatments	3
Bootstrapping Whittle estimators	3
Efficient adjustment sets in causal graphical models with hidden variables	3
Asymptotics of sample tail autocorrelations for tail-dependent time series: phase transition and visualization	3
Inverses of Matérn covariances on grids	3
Evaluating causes of effects by posterior effects of causes	3
Stratification and optimal resampling for sequential Monte Carlo	3
Admissible estimators of a multivariate normal mean vector when the scale is unknown	3
Bagging cross-validated bandwidths with application to big data	3
Distributed inference for the extreme value index	3
Proximal mediation analysis	3
Efficient Bernoulli factory Markov chain Monte Carlo for intractable posteriors	3
Covariate adaptive familywise error rate control for genome-wide association studies	3
Kernel two-sample tests in high dimensions: interplay between moment discrepancy and dimension-and-sample orders	3
Projective independence tests in high dimensions: the curses and the cures	3
Response best-subset selector for multivariate regression with high-dimensional response variables	2
Testing generalized linear models with high-dimensional nuisance parameters	2
Causal inference with misspecified exposure mappings: separating definitions and assumptions	2
Optimal design of the Barker proposal and other locally balanced Metropolis–Hastings algorithms	2
Semiparametric efficient G-estimation with invalid instrumental variables	2
Testing for unit roots based on sample autocovariances	2
√2-estimation for smooth eigenvectors of matrix-valued functions	2
Backfitting tests in generalized structured models	2
Power and sample size calculations for rerandomization	2
Optimal row-column designs	2
A multiplicative structural nested mean model for zero-inflated outcomes	2
On the relative efficiency of the intent-to-treat Wilcoxon–Mann–Whitney test in the presence of noncompliance	2
Discussion of ‘Estimating time-varying causal excursion effects in mobile health with binary outcomes’	2
On the statistical role of inexact matching in observational studies	2
Significance testing for canonical correlation analysis in high dimensions	2
Local linear graphon estimation using covariates	2
Large-scale model selection in misspecified generalized linear models	2
An instrumental variable method for point processes: generalized Wald estimation based on deconvolution	2
Ancestor regression in linear structural equation models	2
Covariate-adjusted log-rank test: guaranteed efficiency gain and universal applicability	2
Uniqueness and global optimality of the maximum likelihood estimator for the generalized extreme value distribution	2
Discussion of ‘Estimating time-varying causal excursion effects in mobile health with binary outcomes’	2
On the optimality of score-driven models	2
Discussion of ‘Multi-scale Fisher’s independence test for multivariate dependence’	2
Asymptotic distribution-free changepoint detection for data with repeated observations	2
Bio-equivalence tests in functional data by maximum deviation	2
Integrated conditional moment test and beyond: when the number of covariates is divergent	2
Scalable subsampling: computation, aggregation and inference	2
Sampling distribution for single-regression Granger causality estimators	1
Smoothed nested testing on directed acyclic graphs	1
The state of cumulative sum sequential changepoint testing 70 years after Page	1
On selection and conditioning in multiple testing and selective inference	1
Spherical clustering in detection of groups of concomitant extremes	1
Marginal proportional hazards models for multivariate interval-censored data	1
Graphical tools for selecting conditional instrumental sets	1
Missing at random: a stochastic process perspective	1
A simple bootstrap for Chatterjee’s rank correlation	1
Optimal minimax random designs for weighted least squares estimators	1
Sensitivity analysis for unmeasured confounding in the estimation of marginal causal effects	1
Conformalized survival analysis with adaptive cut-offs	1
A cross-validation-based statistical theory for point processes	1
Discussion of ‘Multi-scale Fisher’s independence test for multivariate dependence’	1
Discussion of ‘Event history and topological data analysis’	1
High-dimensional analysis of variance in multivariate linear regression	1
Discussion of ‘Causal inference with misspecified exposure mappings: separating definitions and assumptions’	1
A linear adjustment-based approach to posterior drift in transfer learning	1

Discussion of ‘Event history and topological data analysis’	1
Discussion of ‘Statistical inference for streamed longitudinal data’	1
On the failure of the bootstrap for Chatterjee’s rank correlation	1
Discussion of ‘Causal inference with misspecified exposure mappings: separating definitions and assumptions’	1
Hug and hop: a discrete-time, nonreversible Markov chain Monte Carlo algorithm	1
More efficient exact group invariance testing: using a representative subgroup	1
Sample-constrained partial identification with application to selection bias	1
Familial inference: tests for hypotheses on a family of centres	1
Correction to: ‘Valid sequential inference on probability forecast performance’	1
Characterizing M-estimators	1
A global stochastic optimization particle filter algorithm	1
Maximum likelihood estimation for semiparametric regression models with interval-censored multistate data	1
Is the mode elicitable relative to unimodal distributions?	1
Existence of matching priors on compact spaces	1
Discussion of ‘Multi-scale Fisher’s independence test for multivariate dependence’	1
Statistical inference on shape and size indexes for counting processes	1
Rejoinder: ‘Multi-scale Fisher’s independence test for multivariate dependence’	1
Median regularity and honest inference	1
Multi-stage optimal dynamic treatment regimes for survival outcomes with dependent censoring	1
Difference-based covariance matrix estimation in time series nonparametric regression with application to specification tests	1
Universal robust regression via maximum mean discrepancy	1
An anomaly arising in the analysis of processes with more than one source of variability	1
Rejoinder: ‘Statistical inference for streamed longitudinal data’	1
Discussion of ‘Statistical inference for streamed longitudinal data’	1
Discussion of ‘Event history and topological data analysis’	1
Selective machine learning of doubly robust functionals	1
Doubly robust estimation under covariate-induced dependent left truncation	1
General ways to improve false coverage rate-adjusted selective confidence intervals	1
Testing Kronecker product covariance matrices for high-dimensional matrix-variate data	1
Rejoinder: ‘Event history and topological data analysis’	1
Nonparametric priors with full-range borrowing of information	1
A rank-based sequential test of independence	1
Asymptotically constant risk estimator of the time-average variance constant	1
Discussion of ‘Statistical inference for streamed longitudinal data’	1
Determining the number of factors in high-dimensional generalized latent factor models	1
Multiplicative effect modelling: the general case	1
Rejoinder: Causal inference with misspecified exposure mappings: separating definitions and assumptions	1
Treatment effect quantiles in stratified randomized experiments and matched observational studies	1
Interpolating discriminant functions in high-dimensional Gaussian latent mixtures	1
Bayesian learning of network structures from interventional experimental data	1
A correlation-shrinkage prior for Bayesian prediction of the two-dimensional Wishart model	1
Heterogeneous individual risk modelling of recurrent events	1
Hybrid confidence intervals for informative uniform asymptotic inference after model selection	1