Statistical Science

Papers
(The TQCC of Statistical Science is 7. 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.)
ArticleCitations
Being a Public Health Statistician During a Global Pandemic70
A Cheat Sheet for Bayesian Prediction48
Rejoinder: Item Response Theory—A Statistical Framework for Educational and Psychological Measurement43
Approximating Bayes in the 21st Century36
The Dependent Dirichlet Process and Related Models33
Emerging Directions in Bayesian Computation33
A Regression Perspective on Generalized Distance Covariance and the Hilbert–Schmidt Independence Criterion33
30 Years of Synthetic Data30
Methods for Integrating Trials and Non-experimental Data to Examine Treatment Effect Heterogeneity28
In Defense of the Indefensible: A Very Naïve Approach to High-Dimensional Inference26
No Need for an Oracle: The Nonparametric Maximum Likelihood Decision in the Compound Decision Problem Is Minimax23
Randomization-Based Test for Censored Outcomes: A New Look at the Logrank Test22
Protecting Classifiers from Attacks21
Diffusion Schrödinger Bridges for Bayesian Computation20
A Horse Race between the Block Maxima Method and the Peak–over–Threshold Approach19
Cox Reduction and Confidence Sets of Models: A Theoretical Elucidation18
Rejoinder: Response-Adaptive Randomization in Clinical Trials18
Note on Legendre’s Method of Least Squares16
Protocols for Observational Studies: Methods and Open Problems15
Revisiting the Gelman–Rubin Diagnostic14
Distributionally Robust and Generalizable Inference14
Bayesian Dependent Mixture Models: A Predictive Comparison and Survey14
Interpreting p-Values and Confidence Intervals Using Well-Calibrated Null Preference Priors13
Comment: Group Sequential Designs with Response-Adaptive Randomisation13
On the Use of Auxiliary Variables in Multilevel Regression and Poststratification12
Item Response Theory—A Statistical Framework for Educational and Psychological Measurement12
A Bayesian “Sandwich” for Variance Estimation12
Diffusion Smoothing for Spatial Point Patterns11
Bayesian Adaptive Randomization with Compound Utility Functions11
Aitchison’s Compositional Data Analysis 40 Years on: A Reappraisal11
Identification of Causal Effects Within Principal Strata Using Auxiliary Variables10
Learning and Predicting from Dynamic Models for COVID-19 Patient Monitoring10
Editorial: Special Issue on Reproducibility and Replicability9
Statistical Embedding: Beyond Principal Components9
Cross-Study Replicability in Cluster Analysis8
Khinchin’s 1929 Paper on Von Mises’ Frequency Theory of Probability8
Editorial: Bayesian Computations in the 21st Century8
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 Ratio8
A Conversation with Mary E. Thompson8
A Conversation with Guido W. Imbens7
0.99519109725952