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 2022-06-01 to 2026-06-01.)

Article	Citations
Median regularity and honest inference	55
Goodness-of-fit tests for linear non-Gaussian structural equation models	50
Acknowledgements	41
Bounds on causal effects in $ 2^{K} $ factorial experiments with noncompliance	39
Correction to: ‘Valid sequential inference on probability forecast performance’	36
Familial inference: tests for hypotheses on a family of centres	31
Spectral adjustment for spatial confounding	29
On the implied weights of linear regression for causal inference	29
More efficient exact group invariance testing: using a representative subgroup	26
Comparing causal parameters with many treatments and positivity violations	24
Testing Kronecker product covariance matrices for high-dimensional matrix-variate data	24
On propensity score matching with a diverging number of matches	23
Soft calibration for selection bias problems under mixed-effects models	21
Estimation of prediction error in time series	21
Bootstrapping Whittle estimators	20
Fast convergence of the expectation-maximization algorithm under a logarithmic Sobolev inequality	19
Characteristic-function-based tests for spatial randomness	17
Uniform inference in linear mixed models	17
Statistical inference for streamed longitudinal data	16
Assessing time-varying causal effect moderation in the presence of cluster-level treatment effect heterogeneity and interference	16
Testing serial dependence or cross dependence for time series with underreporting	15
Separable expansions for covariance estimation via the partial inner product	15
Robust sample weighting to facilitate individualized treatment rule learning for a target population	15
Seeded binary segmentation: a general methodology for fast and optimal changepoint detection	14
Optimal regimes for algorithm-assisted human decision-making	14

Testing for latent structure via the Wilcoxon–Wigner random matrix of normalized rank statistics	14
Network-adjusted covariates for community detection	14
Correction to: ‘Selective machine learning of doubly robust functionals’	13
Explicit solutions for the asymptotically optimal bandwidth in cross-validation	13
Generalized Fréchet means with random minimizing domains and its strong consistency	13
Hug and hop: a discrete-time, nonreversible Markov chain Monte Carlo algorithm	13
An eigenvector-assisted estimation framework for signal-plus-noise matrix models	11
Multicalibration for modelling censored survival data with universal adaptability	11
Interpolating discriminant functions in high-dimensional Gaussian latent mixtures	11
Difference-based covariance matrix estimation in time series nonparametric regression with application to specification tests	11
Conditioning on posterior samples for flexible frequentist goodness-of-fit testing	10
Covariate adjustment in randomized experiments with missing outcomes and covariates	10
On varimax asymptotics in network models and spectral methods for dimensionality reduction	10
Equivariant estimation of Fréchet means	10
A generalized Bayes framework for probabilistic clustering	9
Dynamic clustering for heterophilic stochastic block models with time-varying node memberships	9
Dependent censoring based on parametric copulas	9
Discussion of ‘Multi-scale Fisher’s independence test for multivariate dependence’	9
Likelihood-based inference under nonconvex boundary constraints	9
Covariate-adjusted log-rank test: guaranteed efficiency gain and universal applicability	9
Universal robust regression via maximum mean discrepancy	8
Finding Distributions that Differ, with False Discovery Rate Control	8
Treatment choice with nonlinear regret	8
Central limit theorems for local network statistics	8
Populations of unlabelled networks: graph space geometry and generalized geodesic principal components	8
A rank-based sequential test of independence	8
Discussion of ‘Statistical inference for streamed longitudinal data’	7
Clustering consistency with Dirichlet process mixtures	7
Functional linear regression for discretely observed data: from ideal to reality	7
Selective machine learning of doubly robust functionals	7
Characterizing extremal dependence on a hyperplane	7
Variable elimination, graph reduction and the efficient g-formula	7
Discussion of ‘Statistical inference for streamed longitudinal data’	7
Lasso-adjusted treatment effect estimation under covariate-adaptive randomization	7
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
Sequential Gibbs Posteriors with Applications to Principal Component Analysis	6
A note on minimax robustness of designs against correlated or heteroscedastic responses	6
Rejoinder: ‘Statistical inference for streamed longitudinal data’	6
A multiplicative structural nested mean model for zero-inflated outcomes	6
Dimension estimation in a spiked covariance model using high-dimensional data augmentation	6
Asymptotics for a class of parametric martingale posteriors	6
Tail-robust factor modelling of vector and tensor time series in high dimensions	6
Identification and estimation of interaction effects in nonparametric additive regression	6
On selection and conditioning in multiple testing and selective inference	6
Assumption-lean post-integrated inference with surrogate-control outcomes	5
Conformalized survival analysis with adaptive cut-offs	5
Scalable subsampling: computation, aggregation and inference	5
Harnessing the collective wisdom: fusion learning using decision sequences from diverse sources	5

Dynamic covariate balancing: estimating treatment effects over time with potential local projections	5
Power and sample size calculations for rerandomization	5
Nonsense associations in Markov random fields with pairwise dependence	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
Parameterising the effect of a continuous treatment using average derivative effects	5
Design-based theory for cluster rerandomization	5
Spectral estimation for point processes and random fields	4
Characterizing M-estimators	4
Estimating Ratios of Means of Multicategory Data Observed with Sample and Category Perturbations	4
Skip sampling: subsampling in the frequency domain	4
The state of cumulative sum sequential changepoint testing 70 years after Page	4
Proximal mediation analysis	4
Russian roulette: the need for stochastic potential outcomes when utilities depend on counterfactuals	4
A robust fusion-extraction procedure with summary statistics in the presence of biased sources	4
Planning for gold: Hypothesis screening with split samples for valid powerful testing in matched observational studies	4
Nonparametric Inference for Balance in Signed Networks	4
Correction to: ‘Simplified integrated nested Laplace approximation’	4
Discussion of ‘Multi-scale Fisher’s independence test for multivariate dependence’	3
Extremal correlation coefficient for functional data	3
Thinning a Wishart random matrix	3
Network community detection using higher-order structures	3
Palm distributions of superposed point processes for statistical inference	3
τ-censored weighted Benjamini–Hochberg procedures under independence	3
Sparse higher-order partial least squares for simultaneous variable selection, dimension reduction and tensor denoising	3
One-step targeted maximum likelihood estimation for targeting cause-specific absolute risks and survival curves	3
Gaussian universal likelihood ratio testing	3
Model-free selective inference under covariate shift via weighted conformal p -values	3
A frequentist local false discovery rate	3
Resampling methods with multiply imputed data	3
Treatment effect quantiles in stratified randomized experiments and matched observational studies	3
Revisiting Madigan and Mosurski: Collapsibility via Minimal Separators	3
Leveraging external data for testing experimental therapies with biomarker interactions in randomized clinical trials	3
A linear adjustment-based approach to posterior drift in transfer learning	3
Additive models for symmetric positive-definite matrices and Lie groups	3
Priors for second-order unbiased Bayes estimators	3
Nonparametric estimators over metric graphs	2
Retrospective causal inference with multiple effect variables	2
Supervised contamination detection, with application to flow cytometry data	2
Design Stability in Adaptive Experiments: Implications for Treatment Effect Estimation	2
Asymptotically constant risk estimator of the time-average variance constant	2
Geodesic optimal transport regression	2
Nonparametric estimation of the intensity function of a spatial point process on a Riemannian manifold	2
Localized conformal prediction: a generalized inference framework for conformal prediction	2
Testing serial independence of object-valued time series	2
Geodesic slice sampling on Riemannian manifolds	2
Decomposing Gaussians with unknown covariance	2
High-dimensional analysis of variance in multivariate linear regression	2
Factor pretraining in Bayesian multivariate logistic models	2