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 2021-05-01 to 2025-05-01.)

Article	Citations
Median regularity and honest inference	46
An Omitted Variable Bias Framework for Sensitivity Analysis of Instrumental Variables	34
Fréchet sufficient dimension reduction for random objects	25
Nonparametric data segmentation in multivariate time series via joint characteristic functions	24
Data integration: exploiting ratios of parameter estimates from a reduced external model	24
Sparse functional linear discriminant analysis	22
Correction to: ‘Valid sequential inference on probability forecast performance’	21
Familial inference: tests for hypotheses on a family of centres	19
Testing Kronecker product covariance matrices for high-dimensional matrix-variate data	19
High-dimensional linear regression via implicit regularization	18
An approximate randomization test for the high-dimensional two-sample Behrens–Fisher problem under arbitrary covariances	18
More efficient exact group invariance testing: using a representative subgroup	17
On propensity score matching with a diverging number of matches	16
On the implied weights of linear regression for causal inference	16
Spectral adjustment for spatial confounding	16
Asymptotics of sample tail autocorrelations for tail-dependent time series: phase transition and visualization	16
Soft calibration for selection bias problems under mixed-effects models	15
On the fundamental limitations of multi-proposal Markov chain Monte Carlo algorithms	15
Particle filter efficiency under limited communication	15
Statistical inference for streamed longitudinal data	15
Valid sequential inference on probability forecast performance	13
Bootstrapping Whittle estimators	12
Estimation of prediction error in time series	12
Noise-Induced Randomization in Regression Discontinuity Designs	12
Assessing time-varying causal effect moderation in the presence of cluster-level treatment effect heterogeneity and interference	12

Partial separability and functional graphical models for multivariate Gaussian processes	11
Regression of exchangeable relational arrays	10
Testing serial dependence or cross dependence for time series with underreporting	10
Robust sample weighting to facilitate individualized treatment rule learning for a target population	10
A general condition for bias attenuation by a nondifferentially mismeasured confounder	9
Separable expansions for covariance estimation via the partial inner product	9
Network-adjusted covariates for community detection	9
Optimal regimes for algorithm-assisted human decision-making	9
Correction to: ‘Selective machine learning of doubly robust functionals’	8
Continuous Time Locally Stationary Wavelet Processes	8
Seeded binary segmentation: a general methodology for fast and optimal changepoint detection	8
On the relative efficiency of the intent-to-treat Wilcoxon–Mann–Whitney test in the presence of noncompliance	8
Explicit solutions for the asymptotically optimal bandwidth in cross-validation	8
Discussion of ‘Event history and topological data analysis’	8
Hug and hop: a discrete-time, nonreversible Markov chain Monte Carlo algorithm	8
Difference-based covariance matrix estimation in time series nonparametric regression with application to specification tests	8
Dependent censoring based on parametric copulas	7
Interpolating discriminant functions in high-dimensional Gaussian latent mixtures	7
An eigenvector-assisted estimation framework for signal-plus-noise matrix models	7
Covariate-adjusted log-rank test: guaranteed efficiency gain and universal applicability	7
A proximal distance algorithm for likelihood-based sparse covariance estimation	7
Likelihood-based inference under nonconvex boundary constraints	7
On varimax asymptotics in network models and spectral methods for dimensionality reduction	7
Equivariant estimation of Fréchet means	7
Covariate adjustment in randomized experiments with missing outcomes and covariates	7
A generalized Bayes framework for probabilistic clustering	7
Populations of unlabelled networks: graph space geometry and generalized geodesic principal components	6
Multi-scale Fisher’s independence test for multivariate dependence	6
Rejoinder: ‘Event history and topological data analysis’	6
Discussion of ‘Multi-scale Fisher’s independence test for multivariate dependence’	6
Randomization Inference When N Equals One	6
Universal robust regression via maximum mean discrepancy	6
A rank-based sequential test of independence	6
Discussion of ‘Statistical inference for streamed longitudinal data’	6
Central limit theorems for local network statistics	6
Discussion of ‘Statistical inference for streamed longitudinal data’	5
High-dimensional semi-supervised learning: in search of optimal inference of the mean	5
Significance testing for canonical correlation analysis in high dimensions	5
On the inconsistency of matching without replacement	5
A note on minimax robustness of designs against correlated or heteroscedastic responses	5
Generalized infinite factorization models	5
Selective machine learning of doubly robust functionals	5
An Improved Estimator of the Pair Correlation Function of a Spatial Point Process	5
Functional linear regression for discretely observed data: from ideal to reality	5
Variable elimination, graph reduction and the efficient g-formula	5
Efficient Estimation for Functional Accelerated Failure Time Models	5
Clustering consistency with Dirichlet process mixtures	5
Asymptotic distribution-free changepoint detection for data with repeated observations	5
Lasso-adjusted treatment effect estimation under covariate-adaptive randomization	5
Optimal design of the Barker proposal and other locally balanced Metropolis–Hastings algorithms	5

Rejoinder: ‘Estimating time-varying causal excursion effects in mobile health with binary outcomes’	4
A multiplicative structural nested mean model for zero-inflated outcomes	4
Bootstrap test procedure for variance components in nonlinear mixed effects models in the presence of nuisance parameters and a singular Fisher information matrix	4
Uniqueness and global optimality of the maximum likelihood estimator for the generalized extreme value distribution	4
Efficient nonparametric estimation of Toeplitz covariance matrices	4
Discussion of ‘Estimating time-varying causal excursion effects in mobile health with binary outcomes’	4
Discussion of ‘Event history and topological data analysis’	4
Correction to: ‘Ancestor regression in linear structural equation models’	4
Rejoinder: ‘Statistical inference for streamed longitudinal data’	4
On selection and conditioning in multiple testing and selective inference	4
Design-based theory for cluster rerandomization	3
Sensitivity analysis for unmeasured confounding in the estimation of marginal causal effects	3
Scalable subsampling: computation, aggregation and inference	3
Skip sampling: subsampling in the frequency domain	3
Proximal mediation analysis	3
Mean decrease accuracy for random forests: inconsistency, and a practical solution via the Sobol-MDA	3
On the partial autocorrelation function for locally stationary time series: characterization, estimation and inference	3
Power and sample size calculations for rerandomization	3
A global stochastic optimization particle filter algorithm	3
Adjusting the Benjamini–Hochberg method for controlling the false discovery rate in knockoff-assisted variable selection	3
A robust fusion-extraction procedure with summary statistics in the presence of biased sources	3
Spherical clustering in detection of groups of concomitant extremes	3
Bias correction of quadratic spectral estimators	3
Conformalized survival analysis with adaptive cut-offs	3
Semi-exact control functionals from Sard’s method	3
Discussion of ‘Event history and topological data analysis’	3
Correction to: ‘Simplified integrated nested Laplace approximation’	3
Estimation under matrix quadratic loss and matrix superharmonicity	3
The state of cumulative sum sequential changepoint testing 70 years after Page	3
Testing generalized linear models with high-dimensional nuisance parameters	2
Decomposition, identification and multiply robust estimation of natural mediation effects with multiple mediators	2
Uniform inference in high-dimensional Gaussian graphical models	2
Instrumental variable estimation of the marginal structural Cox model for time-varying treatments	2
Discussion of ‘Multi-scale Fisher’s independence test for multivariate dependence’	2
Erratum	2
Characterizing M-estimators	2
Additive models for symmetric positive-definite matrices and Lie groups	2
A cross-validation-based statistical theory for point processes	2
Multiplicative effect modelling: the general case	2
Fast and powerful conditional randomization testing via distillation	2
Asymptotically constant risk estimator of the time-average variance constant	2
A linear adjustment-based approach to posterior drift in transfer learning	2
One-step targeted maximum likelihood estimation for targeting cause-specific absolute risks and survival curves	2
Discussion of ‘Estimating time-varying causal excursion effects in mobile health with binary outcomes’	2
Testing for unit roots based on sample autocovariances	2
Sample Splitting and Assessing Goodness-of-fit of Time Series	2
A General Form of Covariate Adjustment in Clinical Trials under Covariate-Adaptive Randomization	2
A high-dimensional power analysis of the conditional randomization test and knockoffs	2
Retrospective causal inference with multiple effect variables	2
Improving efficiency in transporting average treatment effects	2
Testing serial independence of object-valued time series	2
Network community detection using higher-order structures	2
Gaussian universal likelihood ratio testing	2
τ-censored weighted Benjamini–Hochberg procedures under independence	2
Treatment effect quantiles in stratified randomized experiments and matched observational studies	2
Scalable and accurate variational Bayes for high-dimensional binary regression models	2
Correction to: ‘On semiparametric modelling, estimation and inference for survival data subject to dependent censoring’	2
Nonparametric estimation of the intensity function of a spatial point process on a Riemannian manifold	2