OOIR: Observatory of International Research

Papers

(The median citation count of Statistical Science 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 2021-09-01 to 2025-09-01.)

Article	Citations
Being a Public Health Statistician During a Global Pandemic	76
A Cheat Sheet for Bayesian Prediction	50
Rejoinder: Item Response Theory—A Statistical Framework for Educational and Psychological Measurement	45
Emerging Directions in Bayesian Computation	38
Approximating Bayes in the 21st Century	38
A Regression Perspective on Generalized Distance Covariance and the Hilbert–Schmidt Independence Criterion	35
The Dependent Dirichlet Process and Related Models	34
30 Years of Synthetic Data	32
Methods for Integrating Trials and Non-experimental Data to Examine Treatment Effect Heterogeneity	25
No Need for an Oracle: The Nonparametric Maximum Likelihood Decision in the Compound Decision Problem Is Minimax	24
Diffusion Schrödinger Bridges for Bayesian Computation	24
Protecting Classifiers from Attacks	22
In Defense of the Indefensible: A Very Naïve Approach to High-Dimensional Inference	19
Cox Reduction and Confidence Sets of Models: A Theoretical Elucidation	18
Randomization-Based Test for Censored Outcomes: A New Look at the Logrank Test	18
Rejoinder: Response-Adaptive Randomization in Clinical Trials	16
Note on Legendre’s Method of Least Squares	16
Revisiting the Gelman–Rubin Diagnostic	14
Bayesian Dependent Mixture Models: A Predictive Comparison and Survey	14
Protocols for Observational Studies: Methods and Open Problems	14
Interpreting p-Values and Confidence Intervals Using Well-Calibrated Null Preference Priors	13
Distributionally Robust and Generalizable Inference	13
A Bayesian “Sandwich” for Variance Estimation	12
On the Use of Auxiliary Variables in Multilevel Regression and Poststratification	12
Comment: Group Sequential Designs with Response-Adaptive Randomisation	11

Aitchison’s Compositional Data Analysis 40 Years on: A Reappraisal	11
Item Response Theory—A Statistical Framework for Educational and Psychological Measurement	11
Identification of Causal Effects Within Principal Strata Using Auxiliary Variables	10
Statistical Embedding: Beyond Principal Components	9
Bayesian Adaptive Randomization with Compound Utility Functions	9
Learning and Predicting from Dynamic Models for COVID-19 Patient Monitoring	9
Diffusion Smoothing for Spatial Point Patterns	9
Editorial: Special Issue on Reproducibility and Replicability	8
A Conversation with Mary E. Thompson	8
Parameter Restrictions for the Sake of Identification: Is There Utility in Asserting That Perhaps a Restriction Holds?	8
Editorial: Bayesian Computations in the 21st Century	8
A Conversation with Guido W. Imbens	7
Cross-Study Replicability in Cluster Analysis	7
Bayesian Sample Size Determination for Causal Discovery	6
Comment: Response Adaptive Randomization in Practice	6
Sampling Algorithms in Statistical Physics: A Guide for Statistics and Machine Learning	6
Scalable Empirical Bayes Inference and Bayesian Sensitivity Analysis	6
A Conversation with Stephen Portnoy	6
Game-Theoretic Statistics and Safe Anytime-Valid Inference	5
Online Multiple Hypothesis Testing	5
Demystifying Inferential Models and Confidence Curves: A Fiducial Perspective	4
Measurement Error Models: From Nonparametric Methods to Deep Neural Networks	4
On the Certainty of an Inductive Inference: The Binomial Case	4
Data, Science, and Global Disasters	4
Seven Principles for Rapid-Response Data Science: Lessons Learned from Covid-19 Forecasting	4
Choosing Among Notions of Multivariate Depth Statistics	4
Comments on Confidence as Likelihood by Pawitan and Lee in Statistical Science, November 2021	4
Power Calculations for Replication Studies	3
Statistical Modeling for Practical Pooled Testing During the COVID-19 Pandemic	3
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
Distributed Bayesian Inference in Massive Spatial Data	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
Comment: Response-Adaptive Randomization in Clinical Trials: From Myths to Practical Considerations	2
Principal Fairness for Human and Algorithmic Decision-Making	2
A Conversation with Don Dawson	2
Likelihood Asymptotics in Nonregular Settings: A Review with Emphasis on the Likelihood Ratio	2
A Geometric Perspective on Bayesian and Generalized Fiducial Inference	2
Computing Bayes: From Then ‘Til Now	2
The Matérn Model: A Journey Through Statistics, Numerical Analysis and Machine Learning	2
High-Performance Statistical Computing in the Computing Environments of the 2020s	2
Comment: The Evolution of Items and Responses in IRT	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
Bayesian Analysis of Rank Data with Covariates and Heterogeneous Rankers	2

Past, Present and Future of Software for Bayesian Inference	2
Data Science in a Time of Crisis: Lessons from the Pandemic	2