Biometrika

Article	Citations
Quasi-oracle estimation of heterogeneous treatment effects	144
Jeffreys-prior penalty, finiteness and shrinkage in binomial-response generalized linear models	80
Optimal subsampling for quantile regression in big data	64
Combining p-values via averaging	63
Network cross-validation by edge sampling	62
Robust estimation of causal effects via a high-dimensional covariate balancing propensity score	32
Estimating time-varying causal excursion effects in mobile health with binary outcomes	26
Generalized integration model for improved statistical inference by leveraging external summary data	25
Heterogeneity-aware and communication-efficient distributed statistical inference	24
Estimation and inference for the indirect effect in high-dimensional linear mediation models	23
Regression-adjusted average treatment effect estimates in stratified randomized experiments	22
Bayesian cumulative shrinkage for infinite factorizations	22
Mean decrease accuracy for random forests: inconsistency, and a practical solution via the Sobol-MDA	20
On the power of Chatterjee’s rank correlation	20
Nonparametric efficient causal mediation with intermediate confounders	20
Sparse semiparametric canonical correlation analysis for data of mixed types	17
Large-sample asymptotics of the pseudo-marginal method	16
More efficient approximation of smoothing splines via space-filling basis selection	16
Classification with imperfect training labels	15
The Pitman–Yor multinomial process for mixture modelling	14
Inference on the average treatment effect under minimization and other covariate-adaptive randomization methods	14
A method of constructing maximin distance designs	13
Valid sequential inference on probability forecast performance	13
Partial separability and functional graphical models for multivariate Gaussian processes	13
Componentwise approximate Bayesian computation via Gibbs-like steps	12

In search of lost mixing time: adaptive Markov chain Monte Carlo schemes for Bayesian variable selection with very large p	12
A general interactive framework for false discovery rate control under structural constraints	12
Consistency guarantees for greedy permutation-based causal inference algorithms	12
On order determination by predictor augmentation	11
Regression adjustment in completely randomized experiments with a diverging number of covariates	11
Extended stochastic gradient Markov chain Monte Carlo for large-scale Bayesian variable selection	11
A nonparametric approach to high-dimensional k-sample comparison problems	11
Confidence regions in Wasserstein distributionally robust estimation	10
Searching for robust associations with a multi-environment knockoff filter	10
Hypotheses on a tree: new error rates and testing strategies	10
Determining the dependence structure of multivariate extremes	10
Statistical properties of sketching algorithms	10
An asymptotic and empirical smoothing parameters selection method for smoothing spline ANOVA models in large samples	9
Fast and powerful conditional randomization testing via distillation	9
Characterization of parameters with a mixed bias property	9
On boosting the power of Chatterjee’s rank correlation	9
High-dimensional empirical likelihood inference	8
Fréchet sufficient dimension reduction for random objects	8
Dependent censoring based on parametric copulas	8
A minimum aberration-type criterion for selecting space-filling designs	8
Demystifying a class of multiply robust estimators	8
Seeded binary segmentation: a general methodology for fast and optimal changepoint detection	8
On semiparametric modelling, estimation and inference for survival data subject to dependent censoring	7
Statistical inference for streamed longitudinal data	7
Maximum likelihood estimation for semiparametric regression models with panel count data	7
Estimating differential latent variable graphical models with applications to brain connectivity	7
Elicitation complexity of statistical properties	7
Generalized infinite factorization models	7
Data integration: exploiting ratios of parameter estimates from a reduced external model	7
Propensity scores in the design of observational studies for causal effects	7
Efficient posterior sampling for high-dimensional imbalanced logistic regression	7
Average direct and indirect causal effects under interference	7
Sparse functional linear discriminant analysis	7
Lasso-adjusted treatment effect estimation under covariate-adaptive randomization	6
Graphical Gaussian process models for highly multivariate spatial data	6
Estimation of the cure rate for distributions in the Gumbel maximum domain of attraction under insufficient follow-up	6
High-quantile regression for tail-dependent time series	6
Functional regression on the manifold with contamination	6
Gaussian universal likelihood ratio testing	6
Robust differential abundance test in compositional data	6
Joint latent space models for network data with high-dimensional node variables	6
Distribution-on-distribution regression via optimal transport maps	6
Jackknife empirical likelihood: small bandwidth, sparse network and high-dimensional asymptotics	6
Matrix-variate logistic regression with measurement error	6
Basis expansions for functional snippets	6
Lattice-based designs with quasi-optimal separation distance on all projections	6
Hypothesis testing for phylogenetic composition: a minimum-cost flow perspective	6
Splitting strategies for post-selection inference	6
Jump or kink: on super-efficiency in segmented linear regression breakpoint estimation	6
High-dimensional log-error-in-variable regression with applications to microbial compositional data analysis	5

Inference under unequal probability sampling with the Bayesian exponentially tilted empirical likelihood	5
Assessing cure status prediction from survival data using receiver operating characteristic curves	5
Adaptive critical value for constrained likelihood ratio testing	5
Posterior contraction in sparse generalized linear models	5
A high-dimensional power analysis of the conditional randomization test and knockoffs	5
Scalar-on-function local linear regression and beyond	5
Efficient semiparametric estimation of network treatment effects under partial interference	5
Functional linear regression for discretely observed data: from ideal to reality	5
Finite-time analysis of vector autoregressive models under linear restrictions	5
Risk bounds for quantile trend filtering	5
A discrete bouncy particle sampler	5
Adjusting the Benjamini–Hochberg method for controlling the false discovery rate in knockoff-assisted variable selection	5
Poisson reduced-rank models with an application to political text data	5
More for less: predicting and maximizing genomic variant discovery via Bayesian nonparametrics	5
Lugsail lag windows for estimating time-average covariance matrices	5
Minimax designs for causal effects in temporal experiments with treatment habituation	5
Modelling temporal biomarkers with semiparametric nonlinear dynamical systems	5
Multi-scale Fisher’s independence test for multivariate dependence	5
On the phase transition of Wilks’ phenomenon	5
Nontestability of instrument validity under continuous treatments	4
Heterogeneous coefficients, control variables and identification of multiple treatment effects	4
Honest calibration assessment for binary outcome predictions	4
On the inconsistency of matching without replacement	4
On the implied weights of linear regression for causal inference	4
Optimal estimation of bacterial growth rates based on a permuted monotone matrix	4
Identifiability of causal effects with multiple causes and a binary outcome	4
A proximal distance algorithm for likelihood-based sparse covariance estimation	4
Regression-based causal inference with factorial experiments: estimands, model specifications and design-based properties	4
Inverse moment methods for sufficient forecasting using high-dimensional predictors	4
Clustering consistency with Dirichlet process mixtures	4
High-dimensional semi-supervised learning: in search of optimal inference of the mean	4
Thresholded graphical lasso adjusts for latent variables	4
Semi-exact control functionals from Sard’s method	4
The uniform general signed rank test and its design sensitivity	4
Optimal post-selection inference for sparse signals: a nonparametric empirical Bayes approach	4
Optimal Bayesian estimation for random dot product graphs	4
Scalable and accurate variational Bayes for high-dimensional binary regression models	4
Inference for treatment effect parameters in potentially misspecified high-dimensional models	4
Linearized maximum rank correlation estimation	4
Path weights in concentration graphs	4
Estimation in linear errors-in-variables models with unknown error distribution	3
Localized conformal prediction: a generalized inference framework for conformal prediction	3
Envelopes in multivariate regression models with nonlinearity and heteroscedasticity	3
Composite grid designs for adaptive computer experiments with fast inference	3
Stratification and optimal resampling for sequential Monte Carlo	3
Geometrically aware dynamic Markov bases for statistical linear inverse problems	3
Soft calibration for selection bias problems under mixed-effects models	3
Targeted optimal treatment regime learning using summary statistics	3
Estimation from cross-sectional data under a semiparametric truncation model	3
Spectral adjustment for spatial confounding	3
Learning block structures in U-statistic-based matrices	3
Covariate adaptive familywise error rate control for genome-wide association studies	3
Dimension reduction for covariates in network data	3
A generalized Bayes framework for probabilistic clustering	3
Additive models for symmetric positive-definite matrices and Lie groups	3
Event history and topological data analysis	3
Distributed inference for the extreme value index	3
Efficient adjustment sets in causal graphical models with hidden variables	3
OnF-modelling-based empirical Bayes estimation of variances	3
Event history analysis of dynamic networks	3
Estimation of local treatment effects under the binary instrumental variable model	3
Design-based theory for cluster rerandomization	3
Discussion of ‘Network cross-validation by edge sampling’	3
A likelihood analysis of quantile-matching transformations	3
Admissible estimators of a multivariate normal mean vector when the scale is unknown	3
An assumption-free exact test for fixed-design linear models with exchangeable errors	3
Functional hybrid factor regression model for handling heterogeneity in imaging studies	3
Asymptotics of sample tail autocorrelations for tail-dependent time series: phase transition and visualization	3
Bootstrapping M-estimators in generalized autoregressive conditional heteroscedastic models	2
Large-scale model selection in misspecified generalized linear models	2
Backfitting tests in generalized structured models	2
Populations of unlabelled networks: graph space geometry and generalized geodesic principal components	2
Discussion of ‘Network cross-validation by edge sampling’	2
Interpoint-ranking sign covariance for the test of independence	2
Instrumental variable estimation of the marginal structural Cox model for time-varying treatments	2
Bio-equivalence tests in functional data by maximum deviation	2
Estimation of genetic correlation with summary association statistics	2
Bagging cross-validated bandwidths with application to big data	2
An approximate randomization test for the high-dimensional two-sample Behrens–Fisher problem under arbitrary covariances	2
High-dimensional linear regression via implicit regularization	2

Ancestor regression in linear structural equation models	2
Efficient Bernoulli factory Markov chain Monte Carlo for intractable posteriors	2
Evaluating causes of effects by posterior effects of causes	2
The asymptotic distribution of modularity in weighted signed networks	2
Discussion of ‘Multi-scale Fisher’s independence test for multivariate dependence’	2
A conditional test with demonstrated insensitivity to unmeasured bias in matched observational studies	2
Discussion of ‘Estimating time-varying causal excursion effects in mobile health with binary outcomes’	2
Online inference with debiased stochastic gradient descent	2
Local linear graphon estimation using covariates	2
Estimation under matrix quadratic loss and matrix superharmonicity	2
Integrated conditional moment test and beyond: when the number of covariates is divergent	2
Classification via local manifold approximation	2
Deep Kronecker network	2
On quadratic forms in multivariate generalized hyperbolic random vectors	2
Rejoinder: ‘Estimating time-varying causal excursion effects in mobile health with binary outcomes’	2
A simple and general debiased machine learning theorem with finite-sample guarantees	2
E-values as unnormalized weights in multiple testing	2
A subsampling perspective for extending the validity of state-of-the-art bootstraps in the frequency domain	2
Bootstrapping Whittle estimators	2