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 2021-09-01 to 2025-09-01.)

Article	Citations
Lessons from a Discussion-Based Course on the History of Statistics	98
A Note on Monte Carlo Integration in High Dimensions	57
LASSO-Based Survival Prediction Modeling with Multiply Imputed Data: A Case Study in Tuberculosis Mortality Prediction	47
Optimal and Fast Confidence Intervals for Hypergeometric Successes	27
Technical Validation of Plot Designs by Use of Deep Learning	23
On Devon Allen’s Disqualification at the 2022 World Track and Field Championships	16
An Example to Illustrate Randomized Trial Estimands and Estimators	15
Pseudo-Ranks: The Better Way of Ranking?	14
Data Privacy Protection and Utility Preservation through Bayesian Data Synthesis: A Case Study on Airbnb Listings	13
Statistical Inference for Method of Moments Estimators of a Semi-Supervised Two-Component Mixture Model	12
The Cauchy Combination Test under Arbitrary Dependence Structures	10
Integrative Data Analysis Where Partial Covariates Have Complex Nonlinear Effects by Using Summary Information from an External Data	10
Bayesian Testing of Linear Versus Nonlinear Effects Using Gaussian Process Priors	10
A Look into the Problem of Preferential Sampling through the Lens of Survey Statistics	9
Demystifying Statistical Learning Based on Efficient Influence Functions	9
Analytics, Have Some Humility: A Statistical View of Fourth-Down Decision Making	9
Myths About Linear and Monotonic Associations: Pearson’s r, Spearman’s ρ, and Kendall’s τ	8
Out-of-Sample R ² : Estimation and Inference	7
Estimation of Contact Time Among Animals from Telemetry Data	7
A Class of Regression Association Measures based on Concordance	7
Hitting a Prime in 2.43 Dice Rolls (On Average)	7
Semi-Structured Distributional Regression	7
Estimating Knee Movement Patterns of Recreational Runners Across Training Sessions Using Multilevel Functional Regression Models	7
Multiple-Model-based Robust Estimation of Causal Treatment Effect on a Binary Outcome with Integrated Information from Secondary Outcomes	7
Beyond Multiple Linear Regression: Applied Generalized Linear Models and Multilevel Models in R	6

Alpha Seminar: A Course for New Graduate Students in Statistics	6
Comparative Probability Metrics: Using Posterior Probabilities to Account for Practical Equivalence in A/B tests	6
A Statistical Basis for Reporting Strength of Evidence as Pool Reduction	5
The Best Time to Play the Lottery	5
The Storyboard: A Tool to Synthesize, Reflect On, and Write About Data Investigations	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
Evidential Calibration of Confidence Intervals	5
Spatial Sampling with R	5
A First Course in Causal Inference.	5
Confidence Distributions for the Autoregressive Parameter	5
Data Science in Practice	5
First-Passage Times for Random Partial Sums: Yadrenko’s Model for e and Beyond	5
Integrating Ethics into the Guidelines for Assessment and Instruction in Statistics Education (GAISE)	4
Assessment and Continuous Improvement of an Undergraduate Data Science Program	4
Foundations of Data Science with Python	4
Prioritizing Variables for Observational Study Design using the Joint Variable Importance Plot	4
A Study on the Power Parameter in Power Prior Bayesian Analysis	4
On Arbitrarily Underdispersed Discrete Distributions	4
Modern Data Visualization with R	4
RafterNet: Probabilistic Predictions in Multi-Response Regression	4
Towards explainable data and sports analytics: A case study on pass completion prediction in American Football	3
Evaluating Real-Time Probabilistic Forecasts With Application to National Basketball Association Outcome Prediction	3
Tightening Blocks in Complementary Analyses of Observational Studies: Optimization Algorithm and Examples	3
Assignment-Control Plots: A Visual Companion for Causal Inference Study Design	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
Revisiting the Name Variant of the Two-Children Problem	3
A statistical approach to latent dynamic modeling with differential equations	3
A Response to Rice and Lumley	3
The Loser’s Curse and the Critical Role of the Utility Function	3
A Case for Nonparametrics	3
A Comparative Tutorial of Bayesian Sequential Design and Reinforcement Learning	3
Explainable Linear and Generalized Linear Models by the Predictions Plot	3
Cross-Validatory Z-Residual for Diagnosing Shared Frailty Models	3
Statistics for Making Decisions,	3
Proximal MCMC for Bayesian Inference of Constrained and Regularized Estimation	3
A Review of Design of Experiments Courses Offered to Undergraduate Students at American Universities	3