OOIR: Observatory of International Research

Papers

(The median citation count of Biometrika is 2. 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 2022-01-01 to 2026-01-01.)

Article	Citations
Median regularity and honest inference	60
Bounds on causal effects in 2???? factorial experiments with non-compliance	44
Goodness-of-fit tests for linear non-Gaussian structural equation models	38
Data integration: exploiting ratios of parameter estimates from a reduced external model	31
Fréchet sufficient dimension reduction for random objects	28
On propensity score matching with a diverging number of matches	26
Correction to: ‘Valid sequential inference on probability forecast performance’	26
Testing Kronecker product covariance matrices for high-dimensional matrix-variate data	25
On the implied weights of linear regression for causal inference	25
Familial inference: tests for hypotheses on a family of centres	23
Spectral adjustment for spatial confounding	22
High-dimensional linear regression via implicit regularization	21
An approximate randomization test for the high-dimensional two-sample Behrens–Fisher problem under arbitrary covariances	19
More efficient exact group invariance testing: using a representative subgroup	18
Particle filter efficiency under limited communication	17
Soft calibration for selection bias problems under mixed-effects models	17
Assessing time-varying causal effect moderation in the presence of cluster-level treatment effect heterogeneity and interference	17
Bootstrapping Whittle estimators	16
Estimation of prediction error in time series	16
Uniform inference in linear mixed models	15
Characteristic function-based tests for spatial randomness	15
Fast convergence of the expectation-maximization algorithm under a logarithmic Sobolev inequality	14
Testing serial dependence or cross dependence for time series with underreporting	14
Statistical inference for streamed longitudinal data	14
Separable expansions for covariance estimation via the partial inner product	13

Regression of exchangeable relational arrays	13
Optimal regimes for algorithm-assisted human decision-making	12
Multicalibration for Modeling Censored Survival Data with Universal Adaptability	12
Robust sample weighting to facilitate individualized treatment rule learning for a target population	12
Seeded binary segmentation: a general methodology for fast and optimal changepoint detection	12
Correction to: ‘Selective machine learning of doubly robust functionals’	12
Network-adjusted covariates for community detection	12
Explicit solutions for the asymptotically optimal bandwidth in cross-validation	12
Interpolating discriminant functions in high-dimensional Gaussian latent mixtures	11
Hug and hop: a discrete-time, nonreversible Markov chain Monte Carlo algorithm	11
Difference-based covariance matrix estimation in time series nonparametric regression with application to specification tests	11
A generalized Bayes framework for probabilistic clustering	10
Likelihood-based inference under nonconvex boundary constraints	10
A proximal distance algorithm for likelihood-based sparse covariance estimation	10
An eigenvector-assisted estimation framework for signal-plus-noise matrix models	10
Covariate adjustment in randomized experiments with missing outcomes and covariates	9
Equivariant estimation of Fréchet means	9
Populations of unlabelled networks: graph space geometry and generalized geodesic principal components	9
On varimax asymptotics in network models and spectral methods for dimensionality reduction	9
Discussion of ‘Multi-scale Fisher’s independence test for multivariate dependence’	9
Dependent censoring based on parametric copulas	9
Covariate-adjusted log-rank test: guaranteed efficiency gain and universal applicability	9
Discussion of ‘Statistical inference for streamed longitudinal data’	9
A rank-based sequential test of independence	8
Generalized infinite factorization models	8
Central limit theorems for local network statistics	8
Clustering consistency with Dirichlet process mixtures	8
Multi-scale Fisher’s independence test for multivariate dependence	8
Universal robust regression via maximum mean discrepancy	8
Discussion of ‘Statistical inference for streamed longitudinal data’	8
Variable elimination, graph reduction and the efficient g-formula	7
Selective machine learning of doubly robust functionals	7
A note on minimax robustness of designs against correlated or heteroscedastic responses	6
Dimension estimation in a spiked covariance model using high-dimensional data augmentation	6
Lasso-adjusted treatment effect estimation under covariate-adaptive randomization	6
Correction to: ‘Ancestor regression in linear structural equation models’	6
Bootstrap test procedure for variance components in nonlinear mixed effects models in the presence of nuisance parameters and a singular Fisher information matrix	6
On selection and conditioning in multiple testing and selective inference	6
Optimal design of the Barker proposal and other locally balanced Metropolis–Hastings algorithms	6
Efficient nonparametric estimation of Toeplitz covariance matrices	6
Identification and estimation of interaction effects in nonparametric additive regression	6
Rejoinder: ‘Statistical inference for streamed longitudinal data’	6
Functional linear regression for discretely observed data: from ideal to reality	6
Tail-robust factor modelling of vector and tensor time series in high dimensions	6
Conformalized survival analysis with adaptive cut-offs	5
Nonsense associations in Markov random fields with pairwise dependence	5
Design-based theory for cluster rerandomization	5
Skip sampling: subsampling in the frequency domain	5
Spherical clustering in detection of groups of concomitant extremes	5
Harnessing The Collective Wisdom: Fusion Learning Using Decision Sequences from Diverse Sources	5

Scalable subsampling: computation, aggregation and inference	5
Power and sample size calculations for rerandomization	5
A robust fusion-extraction procedure with summary statistics in the presence of biased sources	5
Planning for gold: Hypothesis screening with split samples for valid powerful testing in matched observational studies	5
A multiplicative structural nested mean model for zero-inflated outcomes	5
Russian roulette: the need for stochastic potential outcomes when utilities depend on counterfactuals	5
Sensitivity analysis for unmeasured confounding in the estimation of marginal causal effects	5
Correction to: ‘Simplified integrated nested Laplace approximation’	5
The state of cumulative sum sequential changepoint testing 70 years after Page	5
τ-censored weighted Benjamini–Hochberg procedures under independence	4
Erratum	4
Mean decrease accuracy for random forests: inconsistency, and a practical solution via the Sobol-MDA	4
Sparse higher order partial least squares for simultaneous variable selection, dimension reduction and tensor denoising	4
Treatment effect quantiles in stratified randomized experiments and matched observational studies	4
Discussion of ‘Multi-scale Fisher’s independence test for multivariate dependence’	4
Characterizing M-estimators	4
Proximal mediation analysis	4
Resampling methods with multiply imputed data	4
Priors for second-order unbiased Bayes estimators	4
Spectral estimation for point processes and random fields	4
Scalable and accurate variational Bayes for high-dimensional binary regression models	4
Extremal correlation coefficient for functional data	3
Model-free selective inference under covariate shift via weighted conformal p-values	3
A linear adjustment-based approach to posterior drift in transfer learning	3
Testing serial independence of object-valued time series	3
Thinning a Wishart Random Matrix	3
Gaussian universal likelihood ratio testing	3
Additive models for symmetric positive-definite matrices and Lie groups	3
Decomposing Gaussians with Unknown Covariance	3
Leveraging External Data for Testing Experimental Therapies with Biomarker Interactions in Randomized Clinical Trials	3
One-step targeted maximum likelihood estimation for targeting cause-specific absolute risks and survival curves	3
Network community detection using higher-order structures	3
Testing generalized linear models with high-dimensional nuisance parameters	3
A frequentist local false discovery rate	3
No-harm calibration for generalized Oaxaca–Blinder estimators	2
High-dimensional analysis of variance in multivariate linear regression	2
Decomposition, identification and multiply robust estimation of natural mediation effects with multiple mediators	2
A family of toroidal diffusions with exact likelihood inference	2
Asymptotically constant risk estimator of the time-average variance constant	2
Factor pretraining in Bayesian multivariate logistic models	2
Individualized dynamic latent factor model for multi-resolutional data with application to mobile health	2
Post-selection inference for causal effects after causal discovery	2
Supervised contamination detection, with application to flow cytometry data	2
Nonparametric estimation of the intensity function of a spatial point process on a Riemannian manifold	2
Retrospective causal inference with multiple effect variables	2
A cross-validation-based statistical theory for point processes	2
Discussion of ‘Causal inference with misspecified exposure mappings: separating definitions and assumptions’	2
Spatial self-confounding: Smoothness-related estimation bias in spatial regression models	2
Geodesic Optimal Transport Regression	2
Uniform inference in high-dimensional Gaussian graphical models	2
Localized conformal prediction: a generalized inference framework for conformal prediction	2
Generalized kernel two-sample tests	2
Deep Kronecker network	2