Biometrika

Papers
(The TQCC of Biometrika is 5. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-03-01 to 2024-03-01.)
ArticleCitations
Quasi-oracle estimation of heterogeneous treatment effects133
Jeffreys-prior penalty, finiteness and shrinkage in binomial-response generalized linear models75
Combining p-values via averaging62
Optimal subsampling for quantile regression in big data61
Network cross-validation by edge sampling59
Robust estimation of causal effects via a high-dimensional covariate balancing propensity score31
Generalized integration model for improved statistical inference by leveraging external summary data25
Estimating time-varying causal excursion effects in mobile health with binary outcomes25
Estimation and inference for the indirect effect in high-dimensional linear mediation models23
Heterogeneity-aware and communication-efficient distributed statistical inference23
Bayesian cumulative shrinkage for infinite factorizations22
Regression-adjusted average treatment effect estimates in stratified randomized experiments20
Discontinuous Hamiltonian Monte Carlo for discrete parameters and discontinuous likelihoods19
Nonparametric efficient causal mediation with intermediate confounders19
Mean decrease accuracy for random forests: inconsistency, and a practical solution via the Sobol-MDA18
On the power of Chatterjee’s rank correlation17
Large-sample asymptotics of the pseudo-marginal method16
Sparse semiparametric canonical correlation analysis for data of mixed types16
More efficient approximation of smoothing splines via space-filling basis selection15
Classification with imperfect training labels15
Inference on the average treatment effect under minimization and other covariate-adaptive randomization methods14
The Pitman–Yor multinomial process for mixture modelling14
A method of constructing maximin distance designs13
Consistency guarantees for greedy permutation-based causal inference algorithms12
In search of lost mixing time: adaptive Markov chain Monte Carlo schemes for Bayesian variable selection with very large p12
Partial separability and functional graphical models for multivariate Gaussian processes12
A general interactive framework for false discovery rate control under structural constraints12
Valid sequential inference on probability forecast performance12
Regression adjustment in completely randomized experiments with a diverging number of covariates11
A nonparametric approach to high-dimensional k-sample comparison problems11
Componentwise approximate Bayesian computation via Gibbs-like steps11
Extended stochastic gradient Markov chain Monte Carlo for large-scale Bayesian variable selection10
Hypotheses on a tree: new error rates and testing strategies10
Confidence regions in Wasserstein distributionally robust estimation10
Statistical properties of sketching algorithms10
On order determination by predictor augmentation10
Determining the dependence structure of multivariate extremes9
Seeded binary segmentation: a general methodology for fast and optimal changepoint detection9
Fast and powerful conditional randomization testing via distillation8
High-dimensional empirical likelihood inference8
Characterization of parameters with a mixed bias property8
On boosting the power of Chatterjee’s rank correlation8
A minimum aberration-type criterion for selecting space-filling designs8
Demystifying a class of multiply robust estimators8
Searching for robust associations with a multi-environment knockoff filter8
A robust method for shift detection in time series7
Fréchet sufficient dimension reduction for random objects7
Dependent censoring based on parametric copulas7
Efficient posterior sampling for high-dimensional imbalanced logistic regression7
Average direct and indirect causal effects under interference7
Data integration: exploiting ratios of parameter estimates from a reduced external model7
Elicitation complexity of statistical properties7
Statistical inference for streamed longitudinal data7
An asymptotic and empirical smoothing parameters selection method for smoothing spline ANOVA models in large samples7
Estimating differential latent variable graphical models with applications to brain connectivity7
On semiparametric modelling, estimation and inference for survival data subject to dependent censoring7
Splitting strategies for post-selection inference6
Propensity scores in the design of observational studies for causal effects6
Functional regression on the manifold with contamination6
Lasso-adjusted treatment effect estimation under covariate-adaptive randomization6
Graphical Gaussian process models for highly multivariate spatial data6
Jackknife empirical likelihood: small bandwidth, sparse network and high-dimensional asymptotics6
Hypothesis testing for phylogenetic composition: a minimum-cost flow perspective6
Matrix-variate logistic regression with measurement error6
Lattice-based designs with quasi-optimal separation distance on all projections6
Joint latent space models for network data with high-dimensional node variables6
Distribution-on-distribution regression via optimal transport maps6
High-quantile regression for tail-dependent time series6
Jump or kink: on super-efficiency in segmented linear regression breakpoint estimation6
Gaussian universal likelihood ratio testing6
Generalized infinite factorization models6
Sparse functional linear discriminant analysis6
Assessing cure status prediction from survival data using receiver operating characteristic curves5
Efficient semiparametric estimation of network treatment effects under partial interference5
Adaptive critical value for constrained likelihood ratio testing5
Modelling temporal biomarkers with semiparametric nonlinear dynamical systems5
Posterior contraction in sparse generalized linear models5
Poisson reduced-rank models with an application to political text data5
Robust differential abundance test in compositional data5
A high-dimensional power analysis of the conditional randomization test and knockoffs5
Minimax designs for causal effects in temporal experiments with treatment habituation5
Basis expansions for functional snippets5
Maximum likelihood estimation for semiparametric regression models with panel count data5
A discrete bouncy particle sampler5
Inference under unequal probability sampling with the Bayesian exponentially tilted empirical likelihood5
Adjusting the Benjamini–Hochberg method for controlling the false discovery rate in knockoff-assisted variable selection5
Functional linear regression for discretely observed data: from ideal to reality5
Estimation of the cure rate for distributions in the Gumbel maximum domain of attraction under insufficient follow-up5
Honest calibration assessment for binary outcome predictions5
Risk bounds for quantile trend filtering5
Thresholded graphical lasso adjusts for latent variables5
Finite-time analysis of vector autoregressive models under linear restrictions5
On the phase transition of Wilks’ phenomenon5
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