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 2021-11-01 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
Particle filter efficiency under limited communication	19
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
Fast convergence of the Expectation-Maximization algorithm under a logarithmic Sobolev inequality	16
Bootstrapping Whittle estimators	16
Estimation of prediction error in time series	16
Soft calibration for selection bias problems under mixed-effects models	16
Testing serial dependence or cross dependence for time series with underreporting	15
Separable expansions for covariance estimation via the partial inner product	14
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

Seeded binary segmentation: a general methodology for fast and optimal changepoint detection	13
Discussion of ‘Event history and topological data analysis’	13
Optimal regimes for algorithm-assisted human decision-making	13
Correction to: ‘Selective machine learning of doubly robust functionals’	12
Multicalibration for Modeling Censored Survival Data with Universal Adaptability	11
Interpolating discriminant functions in high-dimensional Gaussian latent mixtures	11
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
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
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
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
Lasso-adjusted treatment effect estimation under covariate-adaptive randomization	7
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