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 2021-07-01 to 2025-07-01.)

Article	Citations
Median regularity and honest inference	51
Data integration: exploiting ratios of parameter estimates from a reduced external model	36
Fréchet sufficient dimension reduction for random objects	29
Goodness-of-fit tests for linear non-Gaussian structural equation models	28
Correction to: ‘Valid sequential inference on probability forecast performance’	25
High-dimensional linear regression via implicit regularization	23
Asymptotics of sample tail autocorrelations for tail-dependent time series: phase transition and visualization	23
Testing Kronecker product covariance matrices for high-dimensional matrix-variate data	21
More efficient exact group invariance testing: using a representative subgroup	20
Familial inference: tests for hypotheses on a family of centres	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	19
On the implied weights of linear regression for causal inference	19
Soft calibration for selection bias problems under mixed-effects models	18
Spectral adjustment for spatial confounding	18
Assessing time-varying causal effect moderation in the presence of cluster-level treatment effect heterogeneity and interference	17
Estimation of prediction error in time series	16
Bootstrapping Whittle estimators	16
Particle filter efficiency under limited communication	16
Partial separability and functional graphical models for multivariate Gaussian processes	16
Valid sequential inference on probability forecast performance	15
Statistical inference for streamed longitudinal data	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
Separable expansions for covariance estimation via the partial inner product	12

Optimal regimes for algorithm-assisted human decision-making	12
A general condition for bias attenuation by a nondifferentially mismeasured confounder	12
Network-adjusted covariates for community detection	12
Seeded binary segmentation: a general methodology for fast and optimal changepoint detection	11
Regression of exchangeable relational arrays	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	10
Multicalibration for Modeling Censored Survival Data with Universal Adaptability	10
Explicit solutions for the asymptotically optimal bandwidth in cross-validation	10
Difference-based covariance matrix estimation in time series nonparametric regression with application to specification tests	10
Correction to: ‘Selective machine learning of doubly robust functionals’	10
Hug and hop: a discrete-time, nonreversible Markov chain Monte Carlo algorithm	10
Discussion of ‘Multi-scale Fisher’s independence test for multivariate dependence’	9
Dependent censoring based on parametric copulas	9
On varimax asymptotics in network models and spectral methods for dimensionality reduction	9
Interpolating discriminant functions in high-dimensional Gaussian latent mixtures	9
Covariate-adjusted log-rank test: guaranteed efficiency gain and universal applicability	9
Covariate adjustment in randomized experiments with missing outcomes and covariates	9
An eigenvector-assisted estimation framework for signal-plus-noise matrix models	9
Equivariant estimation of Fréchet means	9
A generalized Bayes framework for probabilistic clustering	9
A proximal distance algorithm for likelihood-based sparse covariance estimation	9
Likelihood-based inference under nonconvex boundary constraints	9
Discussion of ‘Statistical inference for streamed longitudinal data’	8
Multi-scale Fisher’s independence test for multivariate dependence	8
Universal robust regression via maximum mean discrepancy	8
Powerful Partial Conjunction Hypothesis Testing via Conditioning	7
Populations of unlabelled networks: graph space geometry and generalized geodesic principal components	7
Discussion of ‘Statistical inference for streamed longitudinal data’	7
A rank-based sequential test of independence	7
Rejoinder: ‘Event history and topological data analysis’	7
Central limit theorems for local network statistics	7
Selective machine learning of doubly robust functionals	6
Clustering consistency with Dirichlet process mixtures	6
Consistent and Scalable Composite Likelihood Estimation of Probit Models with Crossed Random Effects	6
A note on minimax robustness of designs against correlated or heteroscedastic responses	6
Generalized infinite factorization models	6
Variable elimination, graph reduction and the efficient g-formula	6
Functional linear regression for discretely observed data: from ideal to reality	6
Lasso-adjusted treatment effect estimation under covariate-adaptive randomization	6
Significance testing for canonical correlation analysis in high dimensions	6
High-dimensional semi-supervised learning: in search of optimal inference of the mean	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
Uniqueness and global optimality of the maximum likelihood estimator for the generalized extreme value distribution	5
Efficient nonparametric estimation of Toeplitz covariance matrices	5
On selection and conditioning in multiple testing and selective inference	5
Adjusting the Benjamini–Hochberg method for controlling the false discovery rate in knockoff-assisted variable selection	5
Pseudo-likelihood Estimators for Graphical Models: Existence and Uniqueness	5
Correction to: ‘Ancestor regression in linear structural equation models’	5

Rejoinder: ‘Statistical inference for streamed longitudinal data’	5
Discussion of ‘Estimating time-varying causal excursion effects in mobile health with binary outcomes’	5
Predictive performance of power posteriors	5
Bootstrap test procedure for variance components in nonlinear mixed effects models in the presence of nuisance parameters and a singular Fisher information matrix	5
Rejoinder: ‘Estimating time-varying causal excursion effects in mobile health with binary outcomes’	5
A multiplicative structural nested mean model for zero-inflated outcomes	5
Discussion of ‘Event history and topological data analysis’	5
Conformalized survival analysis with adaptive cut-offs	5
Design-based theory for cluster rerandomization	4
Semi-exact control functionals from Sard’s method	4
A global stochastic optimization particle filter algorithm	4
Correction to: ‘Simplified integrated nested Laplace approximation’	4
Bias correction of quadratic spectral estimators	4
Nonsense associations in Markov random fields with pairwise dependence	4
Power and sample size calculations for rerandomization	4
Discussion of ‘Event history and topological data analysis’	4
Scalable subsampling: computation, aggregation and inference	4
Sensitivity analysis for unmeasured confounding in the estimation of marginal causal effects	4
Skip sampling: subsampling in the frequency domain	3
A robust fusion-extraction procedure with summary statistics in the presence of biased sources	3
Mean decrease accuracy for random forests: inconsistency, and a practical solution via the Sobol-MDA	3
Scalable and accurate variational Bayes for high-dimensional binary regression models	3
Gaussian universal likelihood ratio testing	3
Estimation under matrix quadratic loss and matrix superharmonicity	3
Characterizing M-estimators	3
Discussion of ‘Estimating time-varying causal excursion effects in mobile health with binary outcomes’	3
Treatment effect quantiles in stratified randomized experiments and matched observational studies	3
τ-censored weighted Benjamini–Hochberg procedures under independence	3
The state of cumulative sum sequential changepoint testing 70 years after Page	3
Proximal mediation analysis	3
Spherical clustering in detection of groups of concomitant extremes	3
Erratum	3
Discussion of ‘Multi-scale Fisher’s independence test for multivariate dependence’	3
Risk bounds for quantile trend filtering	2
Deep Kronecker network	2
Generalized kernel two-sample tests	2
Uniform inference in high-dimensional Gaussian graphical models	2
Testing serial independence of object-valued time series	2
Asymptotically constant risk estimator of the time-average variance constant	2
Additive models for symmetric positive-definite matrices and Lie groups	2
One-step targeted maximum likelihood estimation for targeting cause-specific absolute risks and survival curves	2
Multiplicative effect modelling: the general case	2
Searching for robust associations with a multi-environment knockoff filter	2
Discussion of ‘Causal inference with misspecified exposure mappings: separating definitions and assumptions’	2
Graphical tools for selecting conditional instrumental sets	2
High-dimensional analysis of variance in multivariate linear regression	2
Localized conformal prediction: a generalized inference framework for conformal prediction	2
Fast and powerful conditional randomization testing via distillation	2
Correction to: ‘On semiparametric modelling, estimation and inference for survival data subject to dependent censoring’	2
A linear adjustment-based approach to posterior drift in transfer learning	2
Retrospective causal inference with multiple effect variables	2
Nonparametric estimation of the intensity function of a spatial point process on a Riemannian manifold	2
Individualized dynamic latent factor model for multi-resolutional data with application to mobile health	2
Transfer learning for piecewise-constant mean estimation: Optimality, l1- and l0-penalization	2
A cross-validation-based statistical theory for point processes	2
A General Form of Covariate Adjustment in Clinical Trials under Covariate-Adaptive Randomization	2
Improving efficiency in transporting average treatment effects	2
Decomposition, identification and multiply robust estimation of natural mediation effects with multiple mediators	2
Network community detection using higher-order structures	2
Instrumental variable estimation of the marginal structural Cox model for time-varying treatments	2
Testing generalized linear models with high-dimensional nuisance parameters	2
A high-dimensional power analysis of the conditional randomization test and knockoffs	2