OOIR: Observatory of International Research

Papers

(The median citation count of Statistical Science is 1. 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
Being a Public Health Statistician During a Global Pandemic	70
A Cheat Sheet for Bayesian Prediction	48
Rejoinder: Item Response Theory—A Statistical Framework for Educational and Psychological Measurement	43
Approximating Bayes in the 21st Century	36
The Dependent Dirichlet Process and Related Models	33
Emerging Directions in Bayesian Computation	33
A Regression Perspective on Generalized Distance Covariance and the Hilbert–Schmidt Independence Criterion	33
30 Years of Synthetic Data	30
Methods for Integrating Trials and Non-experimental Data to Examine Treatment Effect Heterogeneity	28
In Defense of the Indefensible: A Very Naïve Approach to High-Dimensional Inference	26
No Need for an Oracle: The Nonparametric Maximum Likelihood Decision in the Compound Decision Problem Is Minimax	23
Randomization-Based Test for Censored Outcomes: A New Look at the Logrank Test	22
Protecting Classifiers from Attacks	21
Diffusion Schrödinger Bridges for Bayesian Computation	20
A Horse Race between the Block Maxima Method and the Peak–over–Threshold Approach	19
Cox Reduction and Confidence Sets of Models: A Theoretical Elucidation	18
Rejoinder: Response-Adaptive Randomization in Clinical Trials	18
Note on Legendre’s Method of Least Squares	16
Protocols for Observational Studies: Methods and Open Problems	15
Bayesian Dependent Mixture Models: A Predictive Comparison and Survey	14
Revisiting the Gelman–Rubin Diagnostic	14
Distributionally Robust and Generalizable Inference	14
Interpreting p-Values and Confidence Intervals Using Well-Calibrated Null Preference Priors	13
Comment: Group Sequential Designs with Response-Adaptive Randomisation	13
A Bayesian “Sandwich” for Variance Estimation	12

On the Use of Auxiliary Variables in Multilevel Regression and Poststratification	12
Item Response Theory—A Statistical Framework for Educational and Psychological Measurement	12
Diffusion Smoothing for Spatial Point Patterns	11
Bayesian Adaptive Randomization with Compound Utility Functions	11
Aitchison’s Compositional Data Analysis 40 Years on: A Reappraisal	11
Identification of Causal Effects Within Principal Strata Using Auxiliary Variables	10
Learning and Predicting from Dynamic Models for COVID-19 Patient Monitoring	10
Editorial: Special Issue on Reproducibility and Replicability	9
Statistical Embedding: Beyond Principal Components	9
Cross-Study Replicability in Cluster Analysis	8
Khinchin’s 1929 Paper on Von Mises’ Frequency Theory of Probability	8
Editorial: Bayesian Computations in the 21st Century	8
Parameter Restrictions for the Sake of Identification: Is There Utility in Asserting That Perhaps a Restriction Holds?	8
A Problem in Forensic Science Highlighting the Differences between the Bayes Factor and Likelihood Ratio	8
A Conversation with Mary E. Thompson	8
A Conversation with Guido W. Imbens	7
A Conversation with Stephen Portnoy	6
Scalable Empirical Bayes Inference and Bayesian Sensitivity Analysis	6
Bayesian Sample Size Determination for Causal Discovery	6
Sampling Algorithms in Statistical Physics: A Guide for Statistics and Machine Learning	6
Comment: Response Adaptive Randomization in Practice	6
Game-Theoretic Statistics and Safe Anytime-Valid Inference	5
Seven Principles for Rapid-Response Data Science: Lessons Learned from Covid-19 Forecasting	5
Online Multiple Hypothesis Testing	5
Measurement Error Models: From Nonparametric Methods to Deep Neural Networks	5
Choosing Among Notions of Multivariate Depth Statistics	4
Comments on Confidence as Likelihood by Pawitan and Lee in Statistical Science, November 2021	4
Demystifying Inferential Models and Confidence Curves: A Fiducial Perspective	4
On the Certainty of an Inductive Inference: The Binomial Case	4
The Secret Life of I. J. Good	3
Preamble	3
Antoine Gombaud, Chevalier de Méré	3
Confidence as Likelihood	3
Statistical Aspects of the Quantum Supremacy Demonstration	3
Statistical Modeling for Practical Pooled Testing During the COVID-19 Pandemic	3
Double-Estimation-Friendly Inference for High-Dimensional Misspecified Models	3
A Comparative Tour through the Simulation Algorithms for Max-Stable Processes	3
The van Trees Inequality in the Spirit of Hájek and Le Cam	3
Data, Science, and Global Disasters	3
Power Calculations for Replication Studies	3
Distributed Bayesian Inference in Massive Spatial Data	3
The Matérn Model: A Journey Through Statistics, Numerical Analysis and Machine Learning	2
Bayesian Analysis of Rank Data with Covariates and Heterogeneous Rankers	2
Comment: The Evolution of Items and Responses in IRT	2
Past, Present and Future of Software for Bayesian Inference	2
Comparison of Two Frameworks for Analyzing Longitudinal Data	2
The Costs and Benefits of Uniformly Valid Causal Inference with High-Dimensional Nuisance Parameters	2
Comment: Response-Adaptive Randomization in Clinical Trials: From Myths to Practical Considerations	2
Data Science in a Time of Crisis: Lessons from the Pandemic	2
Maximum Likelihood Multiple Imputation: Faster Imputations and Consistent Standard Errors Without Posterior Draws	2

Computing Bayes: From Then ‘Til Now	2
Principal Fairness for Human and Algorithmic Decision-Making	2
High-Performance Statistical Computing in the Computing Environments of the 2020s	2
A Geometric Perspective on Bayesian and Generalized Fiducial Inference	2
Martingale Posterior Distributions for Time-Series Models	1
Methods to Compute Prediction Intervals: A Review and New Results	1
Real-Time Estimation of COVID-19 Infections: Deconvolution and Sensor Fusion	1
Statistical Frameworks for Oncology Dose-Finding Designs with Late-Onset Toxicities: A Review	1
In Praise (and Search) of J. V. Uspensky	1
Studentization Versus Variance Stabilization: A Simple Way Out of an Old Dilemma	1
Tracking Truth Through Measurement and the Spyglass of Statistics	1
A Conversation with Don Dawson	1
J. B. S. Haldane’s Rule of Succession	1
A Conversation with Ross Prentice	1
Experimental Design in Marketplaces	1
Replication Success Under Questionable Research Practices—a Simulation Study	1
Interoperability of Statistical Models in Pandemic Preparedness: Principles and Reality	1
Conversations with Gábor J. Székely	1
The Role of Exchangeability in Causal Inference	1
Comment: Is Response-Adaptive Randomization a “Good Thing” or Not in Clinical Trials? Why We Cannot Take Sides	1
A Conversation with Stephen M. Stigler	1
Approximate Confidence Intervals for a Binomial p—Once Again	1
Comment: Protocols for Observational Studies: An Application to Regression Discontinuity Designs	1
Catalytic Priors: Using Synthetic Data to Specify Prior Distributions in Bayesian Analysis	1
A General Construction of Multivariate Dependence Structures with Nonmonotone Mappings and Its Applications	1
Likelihood Asymptotics in Nonregular Settings: A Review with Emphasis on the Likelihood Ratio	1
Advances in Projection Predictive Inference	1
Gambler’s Ruin and the ICM	1