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 2022-06-01 to 2026-06-01.)

Article	Citations
Lessons from a Discussion-Based Course on the History of Statistics	46
A Note on Monte Carlo Integration in High Dimensions	37
LASSO-Based Survival Prediction Modeling with Multiply Imputed Data: A Case Study in Tuberculosis Mortality Prediction	25
Optimal and Fast Confidence Intervals for Hypergeometric Successes	21
Explainable Rank-Based Anomaly Detection	17
Technical Validation of Plot Designs by Use of Deep Learning	14
Invariant Measures of Disagreement with Stochastic Dominance	14
An Example to Illustrate Randomized Trial Estimands and Estimators	14
Data Privacy Protection and Utility Preservation through Bayesian Data Synthesis: A Case Study on Airbnb Listings	13
On Devon Allen’s Disqualification at the 2022 World Track and Field Championships	13
Seeing Different Stories: Human Variability in Statistical Assumption Checking and Model Selection	12
Introduction to Regression Methods for Public Health Using R	12
Integrative Data Analysis Where Partial Covariates Have Complex Nonlinear Effects by Using Summary Information from an External Data	10
A Look into the Problem of Preferential Sampling through the Lens of Survey Statistics	10
Analytics, Have Some Humility: A Statistical View of Fourth-Down Decision Making	10
Estimating Knee Movement Patterns of Recreational Runners Across Training Sessions Using Multilevel Functional Regression Models	9
Beyond the Yard Line: Accommodating Rounded Sports Data in Statistical Models	9
Hitting a Prime in 2.43 Dice Rolls (On Average)	9
The Cauchy Combination Test under Arbitrary Dependence Structures	9
Statistical Inference for Method of Moments Estimators of a Semi-Supervised Two-Component Mixture Model	9
Multiple-Model-based Robust Estimation of Causal Treatment Effect on a Binary Outcome with Integrated Information from Secondary Outcomes	8
Feature Selection in Cox Model with Partially Observed Covariates: Application to Oncology Trials	8
A Class of Regression Association Measures based on Concordance	8
Out-of-Sample R ² : Estimation and Inference	8
Estimation of Contact Time Among Animals from Telemetry Data	8

Evidential Calibration of Confidence Intervals	7
A Comparison of DeepSeek and other LLMs	7
Semi-Structured Distributional Regression	7
Nonparametric Block Bootstrap Kolmogorov-Smirnov Goodness-of-Fit Test	7
Abraham Wald and the Origins of the Sequential Probability Ratio Test	7
First-Passage Times for Random Partial Sums: Yadrenko’s Model for e and Beyond	7
Data Science in Practice	6
On a Possible Improvement of the D’Agostino Test of Normality	6
Confidence Distributions for the Autoregressive Parameter	6
Linear Model Estimation and Prediction for p > n	6
Near-Peer Mentoring in Data Science: A Plot for Mutual Growth	6
Towards Community-Based Participatory Statistics Research Using Secondary Data	6
A First Course in Causal Inference	6
The Best Time to Play the Lottery	5
Spatial Sampling with R	5
On Arbitrarily Underdispersed Discrete Distributions	4
Integrating Ethics into the Guidelines for Assessment and Instruction in Statistics Education (GAISE)	4
Prioritizing Variables for Observational Study Design using the Joint Variable Importance Plot	4
Cross-Validatory Z-Residual for Diagnosing Shared Frailty Models	4
The Storyboard: A Tool to Synthesize, Reflect On, and Write About Data Investigations	4
Foundations of Data Science with Python	4
RafterNet: Probabilistic Predictions in Multi-Response Regression	4
Modern Data Visualization with R	4
Assessment and Continuous Improvement of an Undergraduate Data Science Program	4
Revisiting the Name Variant of the Two-Children Problem	3
A Response to Rice and Lumley	3
The Loser’s Curse and the Critical Role of the Utility Function	3
A Statistical Approach to Latent Dynamic Modeling with Differential Equations	3
Object Oriented Data Analysis	3
A Case for Nonparametrics	3
Explainable Linear and Generalized Linear Models by the Predictions Plot	3
Tightening Blocks in Complementary Analyses of Observational Studies: Optimization Algorithm and Examples	3
Toward Explainable Data and Sports Analytics: A Case Study on Pass Completion Prediction in American Football	3
Proximal MCMC for Bayesian Inference of Constrained and Regularized Estimation	3
Improved Approximation and Visualization of the Correlation Matrix	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
Flexible Bayesian Multiple Comparison Adjustment Using Dirichlet Process and Beta-Binomial Model Priors	3
Scaffolding Responsible Software Use: Evaluating the Effectiveness of a Causal Inference Tool	3
A Review of Design of Experiments Courses Offered to Undergraduate Students at American Universities	3
Differentially Private Methods for Releasing Results of Stability Analyses	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