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 2021-11-01 to 2025-11-01.)

Article	Citations
Median regularity and honest inference	56
Goodness-of-fit tests for linear non-Gaussian structural equation models	40
Fréchet sufficient dimension reduction for random objects	32
Data integration: exploiting ratios of parameter estimates from a reduced external model	28
Correction to: ‘Valid sequential inference on probability forecast performance’	25
On propensity score matching with a diverging number of matches	25
Familial inference: tests for hypotheses on a family of centres	24
More efficient exact group invariance testing: using a representative subgroup	23
Spectral adjustment for spatial confounding	23
On the implied weights of linear regression for causal inference	23
An approximate randomization test for the high-dimensional two-sample Behrens–Fisher problem under arbitrary covariances	22
Testing Kronecker product covariance matrices for high-dimensional matrix-variate data	22
High-dimensional linear regression via implicit regularization	20
Statistical inference for streamed longitudinal data	19
Assessing time-varying causal effect moderation in the presence of cluster-level treatment effect heterogeneity and interference	19
Particle filter efficiency under limited communication	19
Estimation of prediction error in time series	16
Soft calibration for selection bias problems under mixed-effects models	16
Fast convergence of the Expectation-Maximization algorithm under a logarithmic Sobolev inequality	16
Bootstrapping Whittle estimators	16
Testing serial dependence or cross dependence for time series with underreporting	15
Robust sample weighting to facilitate individualized treatment rule learning for a target population	14
Network-adjusted covariates for community detection	14
Regression of exchangeable relational arrays	14
Separable expansions for covariance estimation via the partial inner product	14

Discussion of ‘Event history and topological data analysis’	13
Optimal regimes for algorithm-assisted human decision-making	13
Seeded binary segmentation: a general methodology for fast and optimal changepoint detection	13
Correction to: ‘Selective machine learning of doubly robust functionals’	12
Hug and hop: a discrete-time, nonreversible Markov chain Monte Carlo algorithm	11
An eigenvector-assisted estimation framework for signal-plus-noise matrix models	11
Explicit solutions for the asymptotically optimal bandwidth in cross-validation	11
Difference-based covariance matrix estimation in time series nonparametric regression with application to specification tests	11
Equivariant estimation of Fréchet means	11
Multicalibration for Modeling Censored Survival Data with Universal Adaptability	11
Interpolating discriminant functions in high-dimensional Gaussian latent mixtures	11
A proximal distance algorithm for likelihood-based sparse covariance estimation	10
On varimax asymptotics in network models and spectral methods for dimensionality reduction	10
Likelihood-based inference under nonconvex boundary constraints	10
Covariate adjustment in randomized experiments with missing outcomes and covariates	10
A generalized Bayes framework for probabilistic clustering	9
Discussion of ‘Statistical inference for streamed longitudinal data’	9
Dependent censoring based on parametric copulas	9
Discussion of ‘Multi-scale Fisher’s independence test for multivariate dependence’	9
Covariate-adjusted log-rank test: guaranteed efficiency gain and universal applicability	9
Central limit theorems for local network statistics	8
Discussion of ‘Statistical inference for streamed longitudinal data’	8
Generalized infinite factorization models	8
Multi-scale Fisher’s independence test for multivariate dependence	8
A rank-based sequential test of independence	8
Significance testing for canonical correlation analysis in high dimensions	8
Populations of unlabelled networks: graph space geometry and generalized geodesic principal components	8
Universal robust regression via maximum mean discrepancy	8
Clustering consistency with Dirichlet process mixtures	8
Selective machine learning of doubly robust functionals	8
Optimal design of the Barker proposal and other locally balanced Metropolis–Hastings algorithms	7
Functional linear regression for discretely observed data: from ideal to reality	7
A note on minimax robustness of designs against correlated or heteroscedastic responses	7
Variable elimination, graph reduction and the efficient g-formula	7
Lasso-adjusted treatment effect estimation under covariate-adaptive randomization	7
Rejoinder: ‘Statistical inference for streamed longitudinal data’	6
On selection and conditioning in multiple testing and selective inference	6
Dimension estimation in a spiked covariance model using high-dimensional data augmentation	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
Identification and estimation of interaction effects in nonparametric additive regression	6
Efficient nonparametric estimation of Toeplitz covariance matrices	6
Correction to: ‘Ancestor regression in linear structural equation models’	6
A multiplicative structural nested mean model for zero-inflated outcomes	6
Power and sample size calculations for rerandomization	5
Skip sampling: subsampling in the frequency domain	5
Scalable subsampling: computation, aggregation and inference	5
Conformalized survival analysis with adaptive cut-offs	5
A global stochastic optimization particle filter algorithm	5
Russian roulette: The need for stochastic potential outcomes when utilities depend on counterfactuals	5
Design-based theory for cluster rerandomization	5

A robust fusion-extraction procedure with summary statistics in the presence of biased sources	5
Discussion of ‘Event history and topological data analysis’	5
Discussion of ‘Event history and topological data analysis’	5
Nonsense associations in Markov random fields with pairwise dependence	5
Correction to: ‘Simplified integrated nested Laplace approximation’	5
Proximal mediation analysis	5
Adjusting the Benjamini–Hochberg method for controlling the false discovery rate in knockoff-assisted variable selection	5
Sensitivity analysis for unmeasured confounding in the estimation of marginal causal effects	5
Spherical clustering in detection of groups of concomitant extremes	4
Model-free selective inference under covariate shift via weighted conformal p-values	4
Resampling Methods with Multiply Imputed Data	4
Treatment effect quantiles in stratified randomized experiments and matched observational studies	4
Erratum	4
Discussion of ‘Multi-scale Fisher’s independence test for multivariate dependence’	4
The state of cumulative sum sequential changepoint testing 70 years after Page	4
One-step targeted maximum likelihood estimation for targeting cause-specific absolute risks and survival curves	4
Scalable and accurate variational Bayes for high-dimensional binary regression models	4
Characterizing M-estimators	4
Gaussian universal likelihood ratio testing	4
Mean decrease accuracy for random forests: inconsistency, and a practical solution via the Sobol-MDA	4
τ-censored weighted Benjamini–Hochberg procedures under independence	4
Priors for second-order unbiased Bayes estimators	4
Network community detection using higher-order structures	3
Extremal correlation coefficient for functional data	3
Testing generalized linear models with high-dimensional nuisance parameters	3
Decomposing Gaussians with Unknown Covariance	3
Testing serial independence of object-valued time series	3
Instrumental variable estimation of the marginal structural Cox model for time-varying treatments	3
A linear adjustment-based approach to posterior drift in transfer learning	3
Retrospective causal inference with multiple effect variables	3
Nonparametric estimation of the intensity function of a spatial point process on a Riemannian manifold	3
Leveraging External Data for Testing Experimental Therapies with Biomarker Interactions in Randomized Clinical Trials	3
Additive models for symmetric positive-definite matrices and Lie groups	3
Asymptotically constant risk estimator of the time-average variance constant	3
A high-dimensional power analysis of the conditional randomization test and knockoffs	3
No-harm calibration for generalized Oaxaca–Blinder estimators	2
Factor pre-training in Bayesian multivariate logistic models	2
Uniform inference in high-dimensional Gaussian graphical models	2
Localized conformal prediction: a generalized inference framework for conformal prediction	2
High-dimensional analysis of variance in multivariate linear regression	2
The inverse Kalman filter	2
A model-free variable screening method for optimal treatment regimes with high-dimensional survival data	2
Graphical tools for selecting conditional instrumental sets	2
Generalized kernel two-sample tests	2
Multiplicative effect modelling: the general case	2
Decomposition, identification and multiply robust estimation of natural mediation effects with multiple mediators	2
Individualized dynamic latent factor model for multi-resolutional data with application to mobile health	2
Searching for robust associations with a multi-environment knockoff filter	2
Spatial self-confounding: Smoothness-related estimation bias in spatial regression models	2
Post-selection inference for causal effects after causal discovery	2
A family of toroidal diffusions with exact likelihood inference	2
A cross-validation-based statistical theory for point processes	2
Supervised Contamination Detection, with Flow Cytometry Application	2
Deep Kronecker network	2
Minimax designs for causal effects in temporal experiments with treatment habituation	2
Discussion of ‘Causal inference with misspecified exposure mappings: separating definitions and assumptions’	2