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 2021-09-01 to 2025-09-01.)

Article	Citations
Median regularity and honest inference	52
Data integration: exploiting ratios of parameter estimates from a reduced external model	37
Goodness-of-fit tests for linear non-Gaussian structural equation models	36
Fréchet sufficient dimension reduction for random objects	31
A More Robust Approach to Multivariable Mendelian Randomization	26
Testing Kronecker product covariance matrices for high-dimensional matrix-variate data	25
Correction to: ‘Valid sequential inference on probability forecast performance’	25
High-dimensional linear regression via implicit regularization	23
On the implied weights of linear regression for causal inference	23
Familial inference: tests for hypotheses on a family of centres	22
More efficient exact group invariance testing: using a representative subgroup	20
Spectral adjustment for spatial confounding	20
On propensity score matching with a diverging number of matches	20
An approximate randomization test for the high-dimensional two-sample Behrens–Fisher problem under arbitrary covariances	20
Particle filter efficiency under limited communication	20
Soft calibration for selection bias problems under mixed-effects models	19
Statistical inference for streamed longitudinal data	19
Estimation of prediction error in time series	19
Fast convergence of the Expectation-Maximization algorithm under a logarithmic Sobolev inequality	16
Partial separability and functional graphical models for multivariate Gaussian processes	16
Bootstrapping Whittle estimators	16
Assessing time-varying causal effect moderation in the presence of cluster-level treatment effect heterogeneity and interference	15
Separable expansions for covariance estimation via the partial inner product	13
Testing serial dependence or cross dependence for time series with underreporting	13
Regression of exchangeable relational arrays	13

Valid sequential inference on probability forecast performance	13
Network-adjusted covariates for community detection	12
Optimal regimes for algorithm-assisted human decision-making	12
Seeded binary segmentation: a general methodology for fast and optimal changepoint detection	12
Robust sample weighting to facilitate individualized treatment rule learning for a target population	12
Explicit solutions for the asymptotically optimal bandwidth in cross-validation	11
Discussion of ‘Event history and topological data analysis’	11
On the relative efficiency of the intent-to-treat Wilcoxon–Mann–Whitney test in the presence of noncompliance	11
Multicalibration for Modeling Censored Survival Data with Universal Adaptability	11
Correction to: ‘Selective machine learning of doubly robust functionals’	11
Hug and hop: a discrete-time, nonreversible Markov chain Monte Carlo algorithm	10
Likelihood-based inference under nonconvex boundary constraints	10
A proximal distance algorithm for likelihood-based sparse covariance estimation	10
Difference-based covariance matrix estimation in time series nonparametric regression with application to specification tests	10
A generalized Bayes framework for probabilistic clustering	10
An eigenvector-assisted estimation framework for signal-plus-noise matrix models	10
Interpolating discriminant functions in high-dimensional Gaussian latent mixtures	10
Equivariant estimation of Fréchet means	10
On varimax asymptotics in network models and spectral methods for dimensionality reduction	10
Discussion of ‘Statistical inference for streamed longitudinal data’	9
Covariate-adjusted log-rank test: guaranteed efficiency gain and universal applicability	9
Discussion of ‘Multi-scale Fisher’s independence test for multivariate dependence’	9
Dependent censoring based on parametric copulas	9
Covariate adjustment in randomized experiments with missing outcomes and covariates	9
Universal robust regression via maximum mean discrepancy	8
Populations of unlabelled networks: graph space geometry and generalized geodesic principal components	8
Selective machine learning of doubly robust functionals	8
Central limit theorems for local network statistics	8
Multi-scale Fisher’s independence test for multivariate dependence	8
Rejoinder: ‘Event history and topological data analysis’	8
A rank-based sequential test of independence	8
Discussion of ‘Statistical inference for streamed longitudinal data’	8
Generalized infinite factorization models	7
Variable elimination, graph reduction and the efficient g-formula	7
Powerful Partial Conjunction Hypothesis Testing via Conditioning	7
Lasso-adjusted treatment effect estimation under covariate-adaptive randomization	7
High-dimensional semi-supervised learning: in search of optimal inference of the mean	7
Clustering consistency with Dirichlet process mixtures	7
Significance testing for canonical correlation analysis in high dimensions	7
A note on minimax robustness of designs against correlated or heteroscedastic responses	6
Rejoinder: ‘Statistical inference for streamed longitudinal data’	6
A multiplicative structural nested mean model for zero-inflated outcomes	6
Asymptotic distribution-free changepoint detection for data with repeated observations	6
Optimal design of the Barker proposal and other locally balanced Metropolis–Hastings algorithms	6
Dimension estimation in a spiked covariance model using high-dimensional data augmentation	6
Efficient nonparametric estimation of Toeplitz covariance matrices	6
Functional linear regression for discretely observed data: from ideal to reality	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
Simulating diffusion bridges with score matching	5

Design-based theory for cluster rerandomization	5
Sensitivity analysis for unmeasured confounding in the estimation of marginal causal effects	5
Adjusting the Benjamini–Hochberg method for controlling the false discovery rate in knockoff-assisted variable selection	5
Multivariate Gaussian cumulative distribution functions as the marginal likelihood of their dual Bayesian probit models	5
A global stochastic optimization particle filter algorithm	5
Power and sample size calculations for rerandomization	5
On selection and conditioning in multiple testing and selective inference	5
Conformalized survival analysis with adaptive cut-offs	5
Semi-exact control functionals from Sard’s method	5
Discussion of ‘Event history and topological data analysis’	5
Russian roulette: The need for stochastic potential outcomes when utilities depend on counterfactuals	5
Discussion of ‘Event history and topological data analysis’	5
Pseudo-likelihood Estimators for Graphical Models: Existence and Uniqueness	5
Nonsense associations in Markov random fields with pairwise dependence	4
Mean decrease accuracy for random forests: inconsistency, and a practical solution via the Sobol-MDA	4
Spherical clustering in detection of groups of concomitant extremes	4
Correction to: ‘Simplified integrated nested Laplace approximation’	4
Skip sampling: subsampling in the frequency domain	4
Proximal mediation analysis	4
Scalable subsampling: computation, aggregation and inference	4
The state of cumulative sum sequential changepoint testing 70 years after Page	4
Characterizing M-estimators	4
Discussion of ‘Multi-scale Fisher’s independence test for multivariate dependence’	3
One-step targeted maximum likelihood estimation for targeting cause-specific absolute risks and survival curves	3
Testing generalized linear models with high-dimensional nuisance parameters	3
Leveraging External Data for Testing Experimental Therapies with Biomarker Interactions in Randomized Clinical Trials	3
Erratum	3
Resampling Methods with Multiply Imputed Data	3
Instrumental variable estimation of the marginal structural Cox model for time-varying treatments	3
Network community detection using higher-order structures	3
Asymptotically constant risk estimator of the time-average variance constant	3
Gaussian universal likelihood ratio testing	3
Treatment effect quantiles in stratified randomized experiments and matched observational studies	3
Scalable and accurate variational Bayes for high-dimensional binary regression models	3
A linear adjustment-based approach to posterior drift in transfer learning	3
Additive models for symmetric positive-definite matrices and Lie groups	3
Decomposition, identification and multiply robust estimation of natural mediation effects with multiple mediators	3
A robust fusion-extraction procedure with summary statistics in the presence of biased sources	3
τ-censored weighted Benjamini–Hochberg procedures under independence	3
High-dimensional analysis of variance in multivariate linear regression	2
Multiplicative effect modelling: the general case	2
Testing serial independence of object-valued time series	2
Localized conformal prediction: a generalized inference framework for conformal prediction	2
Functional hybrid factor regression model for handling heterogeneity in imaging studies	2
Risk bounds for quantile trend filtering	2
Searching for robust associations with a multi-environment knockoff filter	2
Deep Kronecker network	2
A family of toroidal diffusions with exact likelihood inference	2
Retrospective causal inference with multiple effect variables	2
A high-dimensional power analysis of the conditional randomization test and knockoffs	2
Factor pre-training in Bayesian multivariate logistic models	2
Supervised Contamination Detection, with Flow Cytometry Application	2
A model-free variable screening method for optimal treatment regimes with high-dimensional survival data	2
Individualized dynamic latent factor model for multi-resolutional data with application to mobile health	2
Graphical tools for selecting conditional instrumental sets	2
Generalized kernel two-sample tests	2
Decomposing Gaussians with Unknown Covariance	2
Nonparametric estimation of the intensity function of a spatial point process on a Riemannian manifold	2
Uniform inference in high-dimensional Gaussian graphical models	2
A cross-validation-based statistical theory for point processes	2
No-harm calibration for generalized Oaxaca–Blinder estimators	2
Honest calibration assessment for binary outcome predictions	2
Discussion of ‘Causal inference with misspecified exposure mappings: separating definitions and assumptions’	2