OOIR: Observatory of International Research

Papers

(The TQCC of Biometrika is 7. 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
On the implied weights of linear regression for causal inference	23
High-dimensional linear regression via implicit regularization	23
Familial inference: tests for hypotheses on a family of centres	22
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
More efficient exact group invariance testing: using a representative subgroup	20
Spectral adjustment for spatial confounding	20
Estimation of prediction error in time series	19
Soft calibration for selection bias problems under mixed-effects models	19
Statistical inference for streamed longitudinal data	19
Partial separability and functional graphical models for multivariate Gaussian processes	16
Bootstrapping Whittle estimators	16
Fast convergence of the Expectation-Maximization algorithm under a logarithmic Sobolev inequality	16
Assessing time-varying causal effect moderation in the presence of cluster-level treatment effect heterogeneity and interference	15
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

Separable expansions for covariance estimation via the partial inner product	13
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
Network-adjusted covariates for community detection	12
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
Explicit solutions for the asymptotically optimal bandwidth in cross-validation	11
Discussion of ‘Event history and topological data analysis’	11
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
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
Dependent censoring based on parametric copulas	9
Covariate adjustment in randomized experiments with missing outcomes and covariates	9
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
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
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
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
Generalized infinite factorization models	7
Variable elimination, graph reduction and the efficient g-formula	7