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 2021-08-01 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
Correction to: ‘Valid sequential inference on probability forecast performance’	23
High-dimensional linear regression via implicit regularization	23
Familial inference: tests for hypotheses on a family of centres	21
More efficient exact group invariance testing: using a representative subgroup	21
Testing Kronecker product covariance matrices for high-dimensional matrix-variate data	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
Spectral adjustment for spatial confounding	19
On the implied weights of linear regression for causal inference	19
Assessing time-varying causal effect moderation in the presence of cluster-level treatment effect heterogeneity and interference	18
Estimation of prediction error in time series	18
Particle filter efficiency under limited communication	17
Bootstrapping Whittle estimators	17
Valid sequential inference on probability forecast performance	16
Statistical inference for streamed longitudinal data	15
Soft calibration for selection bias problems under mixed-effects models	15
Testing serial dependence or cross dependence for time series with underreporting	13
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

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
Network-adjusted covariates for community detection	12
Optimal regimes for algorithm-assisted human decision-making	12
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
Explicit solutions for the asymptotically optimal bandwidth in cross-validation	11
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
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
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
A proximal distance algorithm for likelihood-based sparse covariance estimation	9
Discussion of ‘Multi-scale Fisher’s independence test for multivariate dependence’	9
Multi-scale Fisher’s independence test for multivariate dependence	8
Central limit theorems for local network statistics	8
Universal robust regression via maximum mean discrepancy	8
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
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
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
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
Sensitivity analysis for unmeasured confounding in the estimation of marginal causal effects	5
Semi-exact control functionals from Sard’s method	5

On selection and conditioning in multiple testing and selective inference	5
Discussion of ‘Event history and topological data analysis’	5
Conformalized survival analysis with adaptive cut-offs	5
A global stochastic optimization particle filter algorithm	5
Discussion of ‘Estimating time-varying causal excursion effects in mobile health with binary outcomes’	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
Simulating diffusion bridges with score matching	5
Pseudo-likelihood Estimators for Graphical Models: Existence and Uniqueness	5
Adjusting the Benjamini–Hochberg method for controlling the false discovery rate in knockoff-assisted variable selection	5
A multiplicative structural nested mean model for zero-inflated outcomes	5
Dimension estimation in a spiked covariance model using high-dimensional data augmentation	5
Nonsense associations in Markov random fields with pairwise dependence	4
Estimation under matrix quadratic loss and matrix superharmonicity	4
Design-based theory for cluster rerandomization	4
Bias correction of quadratic spectral estimators	4
Discussion of ‘Event history and topological data analysis’	4
Scalable subsampling: computation, aggregation and inference	4
Correction to: ‘Simplified integrated nested Laplace approximation’	4
Skip sampling: subsampling in the frequency domain	4
Power and sample size calculations for rerandomization	4
Erratum	3
Identifying and bounding the probability of necessity for causes of effects with ordinal outcomes	3
Mean decrease accuracy for random forests: inconsistency, and a practical solution via the Sobol-MDA	3
τ-censored weighted Benjamini–Hochberg procedures under independence	3
Discussion of ‘Multi-scale Fisher’s independence test for multivariate dependence’	3
Scalable and accurate variational Bayes for high-dimensional binary regression models	3
Characterizing M-estimators	3
Proximal mediation analysis	3
Treatment effect quantiles in stratified randomized experiments and matched observational studies	3
Resampling Methods with Multiply Imputed Data	3
Gaussian universal likelihood ratio testing	3
Spherical clustering in detection of groups of concomitant extremes	3
The state of cumulative sum sequential changepoint testing 70 years after Page	3
A robust fusion-extraction procedure with summary statistics in the presence of biased sources	3
Discussion of ‘Estimating time-varying causal excursion effects in mobile health with binary outcomes’	3
One-step targeted maximum likelihood estimation for targeting cause-specific absolute risks and survival curves	3
Individualized dynamic latent factor model for multi-resolutional data with application to mobile health	2
Deep Kronecker network	2
Graphical tools for selecting conditional instrumental sets	2
High-dimensional analysis of variance in multivariate linear regression	2
Testing serial independence of object-valued time series	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
Multiplicative effect modelling: the general case	2
A high-dimensional power analysis of the conditional randomization test and knockoffs	2
Risk bounds for quantile trend filtering	2
A cross-validation-based statistical theory for point processes	2
Factor pre-training in Bayesian multivariate logistic models	2
Decomposing Gaussians with Unknown Covariance	2
Decomposition, identification and multiply robust estimation of natural mediation effects with multiple mediators	2
Additive models for symmetric positive-definite matrices and Lie groups	2
Network community detection using higher-order structures	2
Testing generalized linear models with high-dimensional nuisance parameters	2
Uniform inference in high-dimensional Gaussian graphical models	2
Discussion of ‘Causal inference with misspecified exposure mappings: separating definitions and assumptions’	2
Generalized kernel two-sample tests	2
A family of toroidal diffusions with exact likelihood inference	2
Localized conformal prediction: a generalized inference framework for conformal prediction	2
Retrospective causal inference with multiple effect variables	2
Asymptotically constant risk estimator of the time-average variance constant	2
Instrumental variable estimation of the marginal structural Cox model for time-varying treatments	2
Leveraging External Data for Testing Experimental Therapies with Biomarker Interactions in Randomized Clinical Trials	2
Nonparametric estimation of the intensity function of a spatial point process on a Riemannian manifold	2