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 2021-12-01 to 2025-12-01.)

Article	Citations
Median regularity and honest inference	56
Goodness-of-fit tests for linear non-Gaussian structural equation models	41
Data integration: exploiting ratios of parameter estimates from a reduced external model	36
Bounds on causal effects in 2???? factorial experiments with non-compliance	30
Familial inference: tests for hypotheses on a family of centres	25
Fréchet sufficient dimension reduction for random objects	25
On propensity score matching with a diverging number of matches	25
Correction to: ‘Valid sequential inference on probability forecast performance’	25
Spectral adjustment for spatial confounding	24
High-dimensional linear regression via implicit regularization	24
Testing Kronecker product covariance matrices for high-dimensional matrix-variate data	23
On the implied weights of linear regression for causal inference	22
An approximate randomization test for the high-dimensional two-sample Behrens–Fisher problem under arbitrary covariances	21
More efficient exact group invariance testing: using a representative subgroup	19
Particle filter efficiency under limited communication	18
Estimation of prediction error in time series	16
Assessing time-varying causal effect moderation in the presence of cluster-level treatment effect heterogeneity and interference	16
Soft calibration for selection bias problems under mixed-effects models	16
Bootstrapping Whittle estimators	16
Uniform inference in linear mixed models	16
Fast convergence of the expectation-maximization algorithm under a logarithmic Sobolev inequality	15
Regression of exchangeable relational arrays	14
Statistical inference for streamed longitudinal data	14
Separable expansions for covariance estimation via the partial inner product	14
Testing serial dependence or cross dependence for time series with underreporting	14

Optimal regimes for algorithm-assisted human decision-making	13
Robust sample weighting to facilitate individualized treatment rule learning for a target population	13
Correction to: ‘Selective machine learning of doubly robust functionals’	12
Explicit solutions for the asymptotically optimal bandwidth in cross-validation	12
Seeded binary segmentation: a general methodology for fast and optimal changepoint detection	12
Difference-based covariance matrix estimation in time series nonparametric regression with application to specification tests	12
Network-adjusted covariates for community detection	12
Multicalibration for Modeling Censored Survival Data with Universal Adaptability	12
Likelihood-based inference under nonconvex boundary constraints	11
Hug and hop: a discrete-time, nonreversible Markov chain Monte Carlo algorithm	11
A proximal distance algorithm for likelihood-based sparse covariance estimation	11
An eigenvector-assisted estimation framework for signal-plus-noise matrix models	11
On varimax asymptotics in network models and spectral methods for dimensionality reduction	11
Interpolating discriminant functions in high-dimensional Gaussian latent mixtures	11
Covariate adjustment in randomized experiments with missing outcomes and covariates	10
Equivariant estimation of Fréchet means	10
Covariate-adjusted log-rank test: guaranteed efficiency gain and universal applicability	10
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
Populations of unlabelled networks: graph space geometry and generalized geodesic principal components	9
A generalized Bayes framework for probabilistic clustering	9
Variable elimination, graph reduction and the efficient g-formula	8
Universal robust regression via maximum mean discrepancy	8
Generalized infinite factorization models	8
Selective machine learning of doubly robust functionals	8
A rank-based sequential test of independence	8
Discussion of ‘Statistical inference for streamed longitudinal data’	8
Clustering consistency with Dirichlet process mixtures	8
Central limit theorems for local network statistics	8
Multi-scale Fisher’s independence test for multivariate dependence	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
Lasso-adjusted treatment effect estimation under covariate-adaptive randomization	7