OOIR: Observatory of International Research

Papers

(The TQCC of American Statistician is 3. 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 2021-06-01 to 2025-06-01.)

Article	Citations
A Note on Monte Carlo Integration in High Dimensions	80
Lessons from a Discussion-Based Course on the History of Statistics	52
Optimal and Fast Confidence Intervals for Hypergeometric Successes	36
An Example to Illustrate Randomized Trial Estimands and Estimators	26
Technical Validation of Plot Designs by Use of Deep Learning	21
Pseudo-Ranks: The Better Way of Ranking?	21
Data Privacy Protection and Utility Preservation through Bayesian Data Synthesis: A Case Study on Airbnb Listings	19
A Look into the Problem of Preferential Sampling through the Lens of Survey Statistics	15
Statistical Inference for Method of Moments Estimators of a Semi-Supervised Two-Component Mixture Model	14
Analytics, Have Some Humility: A Statistical View of Fourth-Down Decision Making	13
Applied Directional Statistics: Modern Methods and Case Studies	12
Integrative Data Analysis Where Partial Covariates Have Complex Nonlinear Effects by Using Summary Information from an External Data	12
Bayesian Testing of Linear Versus Nonlinear Effects Using Gaussian Process Priors	11
The Cauchy Combination Test under Arbitrary Dependence Structures	10
Myths About Linear and Monotonic Associations: Pearson’s r, Spearman’s ρ, and Kendall’s τ	9
Demystifying Statistical Learning Based on Efficient Influence Functions	9
A Survey of Bias in Machine Learning Through the Prism of Statistical Parity	9
Hitting a Prime in 2.43 Dice Rolls (On Average)	8
Multiple-Model-based Robust Estimation of Causal Treatment Effect on a Binary Outcome with Integrated Information from Secondary Outcomes	8
Out-of-Sample R ² : Estimation and Inference	7
A Class of Regression Association Measures based on Concordance	7
Estimating Knee Movement Patterns of Recreational Runners Across Training Sessions Using Multilevel Functional Regression Models	7
Estimation of Contact Time Among Animals from Telemetry Data	7
Semi-Structured Distributional Regression	6
Beyond Multiple Linear Regression: Applied Generalized Linear Models and Multilevel Models in R	6

Evidential Calibration of Confidence Intervals	6
Alpha Seminar: A Course for New Graduate Students in Statistics	6
Data Science in Practice.	5
First-Passage Times for Random Partial Sums: Yadrenko’s Model for e and Beyond	5
A Statistical Basis for Reporting Strength of Evidence as Pool Reduction	5
The Best Time to Play the Lottery	5
A Bayesian Spatial Analysis of the Heterogeneity in Human Mobility Changes During the First Wave of the COVID-19 Epidemic in the United States	5
Comparative Probability Metrics: Using Posterior Probabilities to Account for Practical Equivalence in A/B tests	5
Spatial Sampling with R	5
Confidence Distributions for the Autoregressive Parameter	5
On Arbitrarily Underdispersed Discrete Distributions	4
Foundations of Data Science with Python	4
Assessment and Continuous Improvement of an Undergraduate Data Science Program	4
Prioritizing Variables for Observational Study Design using the Joint Variable Importance Plot	4
Evaluating Real-Time Probabilistic Forecasts With Application to National Basketball Association Outcome Prediction	4
Integrating Ethics into the Guidelines for Assessment and Instruction in Statistics Education (GAISE)	4
Modern Data Visualization with R	4
RafterNet: Probabilistic Predictions in Multi-Response Regression	4
Cross-Validatory Z-Residual for Diagnosing Shared Frailty Models	4
A Response to Rice and Lumley	3
The Loser’s Curse and the Critical Role of the Utility Function	3
Revisiting the Name Variant of the Two-Children Problem	3
Improved Approximation and Visualization of the Correlation Matrix	3
A Review of Design of Experiments Courses Offered to Undergraduate Students at American Universities	3
Tightening Blocks in Complementary Analyses of Observational Studies: Optimization Algorithm and Examples	3
A Study on the Power Parameter in Power Prior Bayesian Analysis	3
Deep Learning and Scientific Computing with R torch Deep Learning and Scientific Computing with R torch . Sigrid Keydana. Boca Raton, FL: Chapman & Hall/CRC Press, 2	3
ANOVA and Mixed Models: A Short Introduction Using RLukas Meier, Boca Raton, FL: Chapman & Hall/CRC Press, 2023, xiv + 187 pp., $66.95(P), ISBN: 978-0-367-70420-9.	3
A Comparative Tutorial of Bayesian Sequential Design and Reinforcement Learning	3
Assignment-Control Plots: A Visual Companion for Causal Inference Study Design	3
Statistics for Making Decisions,	3
A Case for Nonparametrics	3
Statistical Implications of Endogeneity Induced by Residential Segregation in Small-Area Modeling of Health Inequities	3
Proximal MCMC for Bayesian Inference of Constrained and Regularized Estimation	3