OOIR: Observatory of International Research

Papers

(The TQCC of Biometrika is 6. 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 2021-08-01 to 2025-08-01.)

Article	Citations
Median regularity and honest inference	52
Data integration: exploiting ratios of parameter estimates from a reduced external model	37
Fréchet sufficient dimension reduction for random objects	33
A More Robust Approach to Multivariable Mendelian Randomization	31
Goodness-of-fit tests for linear non-Gaussian structural equation models	25
High-dimensional linear regression via implicit regularization	23
Correction to: ‘Valid sequential inference on probability forecast performance’	23
Testing Kronecker product covariance matrices for high-dimensional matrix-variate data	21
Familial inference: tests for hypotheses on a family of centres	21
More efficient exact group invariance testing: using a representative subgroup	21
An approximate randomization test for the high-dimensional two-sample Behrens–Fisher problem under arbitrary covariances	20
On propensity score matching with a diverging number of matches	20
On the implied weights of linear regression for causal inference	19
Spectral adjustment for spatial confounding	19
Estimation of prediction error in time series	18
Assessing time-varying causal effect moderation in the presence of cluster-level treatment effect heterogeneity and interference	18
Bootstrapping Whittle estimators	17
Particle filter efficiency under limited communication	17
Valid sequential inference on probability forecast performance	16
Soft calibration for selection bias problems under mixed-effects models	15
Statistical inference for streamed longitudinal data	15
Separable expansions for covariance estimation via the partial inner product	13
Partial separability and functional graphical models for multivariate Gaussian processes	13
Robust sample weighting to facilitate individualized treatment rule learning for a target population	13
Testing serial dependence or cross dependence for time series with underreporting	13

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