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 2021-10-01 to 2025-10-01.)

Article	Citations
LASSO-Based Survival Prediction Modeling with Multiply Imputed Data: A Case Study in Tuberculosis Mortality Prediction	106
Lessons from a Discussion-Based Course on the History of Statistics	60
A Note on Monte Carlo Integration in High Dimensions	54
Optimal and Fast Confidence Intervals for Hypergeometric Successes	29
Pseudo-Ranks: The Better Way of Ranking?	26
Technical Validation of Plot Designs by Use of Deep Learning	16
On Devon Allen’s Disqualification at the 2022 World Track and Field Championships	16
An Example to Illustrate Randomized Trial Estimands and Estimators	14
Invariant measures of disagreement with stochastic dominance*	13
Data Privacy Protection and Utility Preservation through Bayesian Data Synthesis: A Case Study on Airbnb Listings	12
The Cauchy Combination Test under Arbitrary Dependence Structures	11
Analytics, Have Some Humility: A Statistical View of Fourth-Down Decision Making	10
A Look into the Problem of Preferential Sampling through the Lens of Survey Statistics	10
Bayesian Testing of Linear Versus Nonlinear Effects Using Gaussian Process Priors	9
Statistical Inference for Method of Moments Estimators of a Semi-Supervised Two-Component Mixture Model	9
Integrative Data Analysis Where Partial Covariates Have Complex Nonlinear Effects by Using Summary Information from an External Data	9
Demystifying Statistical Learning Based on Efficient Influence Functions	8
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
Hitting a Prime in 2.43 Dice Rolls (On Average)	7
Semi-Structured Distributional Regression	7
A Class of Regression Association Measures based on Concordance	7
Multiple-Model-based Robust Estimation of Causal Treatment Effect on a Binary Outcome with Integrated Information from Secondary Outcomes	7
Estimation of Contact Time Among Animals from Telemetry Data	7
Estimating Knee Movement Patterns of Recreational Runners Across Training Sessions Using Multilevel Functional Regression Models	7

Beyond Multiple Linear Regression: Applied Generalized Linear Models and Multilevel Models in R	6
A Statistical Basis for Reporting Strength of Evidence as Pool Reduction	6
Comparative Probability Metrics: Using Posterior Probabilities to Account for Practical Equivalence in A/B tests	6
Evidential Calibration of Confidence Intervals	6
Alpha Seminar: A Course for New Graduate Students in Statistics	6
Spatial Sampling with R	5
Near-Peer Mentoring in Data Science: A Plot for Mutual Growth	5
Linear Model Estimation and Prediction for p>n	5
Integrating Ethics into the Guidelines for Assessment and Instruction in Statistics Education (GAISE)	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
A Study on the Power Parameter in Power Prior Bayesian Analysis	4
The Best Time to Play the Lottery	4
The Storyboard: A Tool to Synthesize, Reflect On, and Write About Data Investigations	4
Assessment and Continuous Improvement of an Undergraduate Data Science Program	4
Flexible Bayesian Multiple Comparison Adjustment Using Dirichlet Process and Beta-Binomial Model Priors	4
Foundations of Data Science with Python	4
Prioritizing Variables for Observational Study Design using the Joint Variable Importance Plot	4
Cross-Validatory Z-Residual for Diagnosing Shared Frailty Models	4
RafterNet: Probabilistic Predictions in Multi-Response Regression	4
Modern Data Visualization with R	4
On Arbitrarily Underdispersed Discrete Distributions	4
The Loser’s Curse and the Critical Role of the Utility Function	3
Statistics for Making Decisions,	3
Revisiting the Name Variant of the Two-Children Problem	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
A Statistical Approach to Latent Dynamic Modeling with Differential Equations	3
Tightening Blocks in Complementary Analyses of Observational Studies: Optimization Algorithm and Examples	3
A Response to Rice and Lumley	3
A Comparative Tutorial of Bayesian Sequential Design and Reinforcement Learning	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
Explainable Linear and Generalized Linear Models by the Predictions Plot	3
Towards explainable data and sports analytics: A case study on pass completion prediction in American Football	3
A Case for Nonparametrics	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
Assignment-Control Plots: A Visual Companion for Causal Inference Study Design	3