Biometrika

Article	Citations
Thresholded graphical lasso adjusts for latent variables	43
An Omitted Variable Bias Framework for Sensitivity Analysis of Instrumental Variables	27
Randomization Inference When N Equals One	24
On the partial autocorrelation function for locally stationary time series: characterization, estimation and inference	24
Discussion of ‘Event history and topological data analysis’	23
Superefficient estimation of future conditional hazards based on time-homogeneous high-quality marker information	19
High-dimensional analysis of variance in multivariate linear regression	18
Efficient Bernoulli factory Markov chain Monte Carlo for intractable posteriors	17
Fréchet sufficient dimension reduction for random objects	16
Universal robust regression via maximum mean discrepancy	16
Multi-scale Fisher’s independence test for multivariate dependence	16
Correction to: ‘Optimal row-column designs’	16
Generalized kernel two-sample tests	16
Sensitivity analysis for unmeasured confounding in the estimation of marginal causal effects	15
Median regularity and honest inference	15
A spike-and-slab prior for dimension selection in generalized linear network eigenmodels	15
Central limit theorems for local network statistics	15
Power and sample size calculations for rerandomization	14
Discussion of ‘Multi-scale Fisher’s independence test for multivariate dependence’	12
Rejoinder: Causal inference with misspecified exposure mappings: separating definitions and assumptions	12
Ancestor regression in linear structural equation models	12
A cross-validation-based statistical theory for point processes	12
Subsampling sparse graphons under minimal assumptions	12
Flexible control of the median of the false discovery proportion	11
Latent space models for multiplex networks with shared structure	10

A rank-based sequential test of independence	10
Linearized maximum rank correlation estimation	10
Design-based theory for cluster rerandomization	9
Is the mode elicitable relative to unimodal distributions?	9
Data integration: exploiting ratios of parameter estimates from a reduced external model	9
Discussion of ‘Statistical inference for streamed longitudinal data’	9
Deep Kronecker network	8
Sparse functional linear discriminant analysis	8
Inference for partial correlations of a multivariate Gaussian time series	8
Populations of unlabelled networks: graph space geometry and generalized geodesic principal components	8
A global stochastic optimization particle filter algorithm	8
Exact selective inference with randomization	8
Bayesian learning of network structures from interventional experimental data	8
Semi-exact control functionals from Sard’s method	8
Debiasing Welch’s method for spectral density estimation	8
Semiparametric Sieve Estimation for Survival Data with Two-layer Censoring	7
An instrumental variable method for point processes: generalized Wald estimation based on deconvolution	7
Localized conformal prediction: a generalized inference framework for conformal prediction	7
Transfer learning for piecewise-constant mean estimation: Optimality, l1- and l0-penalization	7
Joint latent space models for network data with high-dimensional node variables	7
Efficient Estimation for Functional Accelerated Failure Time Models	7
Scalable subsampling: computation, aggregation and inference	7
Testing Kronecker product covariance matrices for high-dimensional matrix-variate data	6
On propensity score matching with a diverging number of matches	6
√2-estimation for smooth eigenvectors of matrix-valued functions	6
Skip sampling: subsampling in the frequency domain	6
High-dimensional Factor Analysis for Network-linked data	6
Rejoinder: ‘Event history and topological data analysis’	6
Correction to: ‘Valid sequential inference on probability forecast performance’	6
A robust fusion-extraction procedure with summary statistics in the presence of biased sources	5
Estimation under matrix quadratic loss and matrix superharmonicity	5
Correction to: ‘Simplified integrated nested Laplace approximation’	5
An approximate randomization test for the high-dimensional two-sample Behrens–Fisher problem under arbitrary covariances	5
Spectral adjustment for spatial confounding	5
Discussion of ‘Causal inference with misspecified exposure mappings: separating definitions and assumptions’	5
Risk bounds for quantile trend filtering	5
Fast and reliable confidence intervals for a variance component	5
A mark-specific quantile regression model	5
Spherical clustering in detection of groups of concomitant extremes	5
On the implied weights of linear regression for causal inference	5
Clustering consistency with Dirichlet process mixtures	5
Graphical Gaussian process models for highly multivariate spatial data	5
More efficient exact group invariance testing: using a representative subgroup	5
An anomaly arising in the analysis of processes with more than one source of variability	4
Familial inference: tests for hypotheses on a family of centres	4
High-dimensional semi-supervised learning: in search of optimal inference of the mean	4
OnF-modelling-based empirical Bayes estimation of variances	4
Promises of parallel outcomes	4
Selective machine learning of doubly robust functionals	4
Searching for robust associations with a multi-environment knockoff filter	4

Graphical tools for selecting conditional instrumental sets	4
Sharp symbolic nonparametric bounds for measures of benefit in observational and imperfect randomized studies with ordinal outcomes	4
Discussion of ‘Statistical inference for streamed longitudinal data’	4
High-dimensional linear regression via implicit regularization	4
Correction to: ‘A cross-validation-based statistical theory for point processes’	3
Particle filter efficiency under limited communication	3
Individualized dynamic latent factor model for multi-resolutional data with application to mobile health	3
No-harm calibration for generalized Oaxaca–Blinder estimators	3
The state of cumulative sum sequential changepoint testing 70 years after Page	3
Significance testing for canonical correlation analysis in high dimensions	3
Statistical inference for streamed longitudinal data	3
Sampling distribution for single-regression Granger causality estimators	3
Mean decrease accuracy for random forests: inconsistency, and a practical solution via the Sobol-MDA	3
Characterizing M-estimators	3
Noise-Induced Randomization in Regression Discontinuity Designs	3
Local linear graphon estimation using covariates	3
Partial separability and functional graphical models for multivariate Gaussian processes	3
Average direct and indirect causal effects under interference	3
Proximal mediation analysis	3
Asymptotics of sample tail autocorrelations for tail-dependent time series: phase transition and visualization	3
Generalized infinite factorization models	3
Kernel interpolation generalizes poorly	2
Valid sequential inference on probability forecast performance	2
Variable elimination, graph reduction and the efficient g-formula	2
Discussion of ‘Estimating time-varying causal excursion effects in mobile health with binary outcomes’	2
Estimation of prediction error in time series	2
Functional hybrid factor regression model for handling heterogeneity in imaging studies	2
Assessing time-varying causal effect moderation in the presence of cluster-level treatment effect heterogeneity and interference	2
Estimation of genetic correlation with summary association statistics	2
A subsampling perspective for extending the validity of state-of-the-art bootstraps in the frequency domain	2
τ-censored weighted Benjamini–Hochberg procedures under independence	2
Testing for unit roots based on sample autocovariances	2
Targeted optimal treatment regime learning using summary statistics	2
Multi-stage optimal dynamic treatment regimes for survival outcomes with dependent censoring	2
On the inconsistency of matching without replacement	2
Bootstrapping Whittle estimators	2
Robust differential abundance test in compositional data	2
Functional linear regression for discretely observed data: from ideal to reality	2
Honest calibration assessment for binary outcome predictions	2
Treatment effect quantiles in stratified randomized experiments and matched observational studies	2
Online inference with debiased stochastic gradient descent	2
A model-free variable screening method for optimal treatment regimes with high-dimensional survival data	2
Order-based structure learning without score equivalence	2
Inverse moment methods for sufficient forecasting using high-dimensional predictors	2
Lugsail lag windows for estimating time-average covariance matrices	2
Semiparametric efficient G-estimation with invalid instrumental variables	2
Erratum	2
Discussion of ‘Causal inference with misspecified exposure mappings: separating definitions and assumptions’	2
On the failure of the bootstrap for Chatterjee’s rank correlation	2
Soft calibration for selection bias problems under mixed-effects models	2
Doubly robust estimation under covariate-induced dependent left truncation	1
Regression-based causal inference with factorial experiments: estimands, model specifications and design-based properties	1
Regression of exchangeable relational arrays	1
Testing serial dependence or cross dependence for time series with underreporting	1
Gaussian universal likelihood ratio testing	1
Determining the number of factors in high-dimensional generalized latent factor models	1
Optimal design of the Barker proposal and other locally balanced Metropolis–Hastings algorithms	1
On the fundamental limitations of multi-proposal Markov chain Monte Carlo algorithms	1
Anytime valid and asymptotically efficient inference driven by predictive recursion	1
Semiparametric counterfactual density estimation	1
Regression analysis of group-tested current status data	1
Tailored inference for finite populations: conditional validity and transfer across distributions	1
Seeded binary segmentation: a general methodology for fast and optimal changepoint detection	1
Network-adjusted covariates for community detection	1
E-values as unnormalized weights in multiple testing	1
On the power of Chatterjee’s rank correlation	1
Discussion of ‘Multi-scale Fisher’s independence test for multivariate dependence’	1
Discussion of ‘Estimating time-varying causal excursion effects in mobile health with binary outcomes’	1
Instrumental variable estimation of the marginal structural Cox model for time-varying treatments	1
A simple and general debiased machine learning theorem with finite-sample guarantees	1
Discussion of ‘Multi-scale Fisher’s independence test for multivariate dependence’	1
Asymptotic distribution-free changepoint detection for data with repeated observations	1
Lasso-adjusted treatment effect estimation under covariate-adaptive randomization	1
Hybrid confidence intervals for informative uniform asymptotic inference after model selection	1
Optimal regimes for algorithm-assisted human decision-making	1
Scalable and accurate variational Bayes for high-dimensional binary regression models	1
The only admissible way of merging arbitrary e-values	1
An Improved Estimator of the Pair Correlation Function of a Spatial Point Process	1
Separable expansions for covariance estimation via the partial inner product	1
On the optimality of score-driven models	1

Kernel methods for causal functions: dose, heterogeneous and incremental response curves	1
A note on minimax robustness of designs against correlated or heteroscedastic responses	1
Robust sample weighting to facilitate individualized treatment rule learning for a target population	1
Correction to: ‘Nonparametric efficient causal mediation with intermediate confounders’	1
Marginal proportional hazards models for multivariate interval-censored data	1
Testing independence for sparse longitudinal data	1
Sensitivity analysis for matched observational studies with continuous exposures and binary outcomes	1
Heterogeneous coefficients, control variables and identification of multiple treatment effects	1
Randomization-based Z-estimation for evaluating average and individual treatment effects	1
Minimax designs for causal effects in temporal experiments with treatment habituation	1
One-step targeted maximum likelihood estimation for targeting cause-specific absolute risks and survival curves	1
Phylogenetic association analysis with conditional rank correlation	1
Wavelet spectra for multivariate point processes	1
Confidence regions in Wasserstein distributionally robust estimation	1
Sample-constrained partial identification with application to selection bias	1
On the statistical role of inexact matching in observational studies	1