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 2022-08-01 to 2026-08-01.)

Article	Citations
Lessons from a Discussion-Based Course on the History of Statistics	53
A Note on Monte Carlo Integration in High Dimensions	43
LASSO-Based Survival Prediction Modeling with Multiply Imputed Data: A Case Study in Tuberculosis Mortality Prediction	27
Exercises in Statistical Reasoning.	25
Optimal and Fast Confidence Intervals for Hypergeometric Successes	20
Collinear Groupwise Selection via Scaled Group Lasso	20
Estimating Mean and Variance From Right-censored Data	20
Technical Validation of Plot Designs by Use of Deep Learning	15
Explainable Rank-Based Anomaly Detection	15
An Example to Illustrate Randomized Trial Estimands and Estimators	14
On Devon Allen’s Disqualification at the 2022 World Track and Field Championships	13
Invariant Measures of Disagreement with Stochastic Dominance	13
Seeing Different Stories: Human Variability in Statistical Assumption Checking and Model Selection	12
On the Relation between Likelihood Ratios and p -values for Testing Success Probabilities of Bernoulli Trials	12
Introduction to Regression Methods for Public Health Using R	11
Prior Sensitivity Analysis without Model Re-Fit	11
Estimation of Contact Time Among Animals from Telemetry Data	9
The Cauchy Combination Test under Arbitrary Dependence Structures	9
Integrative Data Analysis Where Partial Covariates Have Complex Nonlinear Effects by Using Summary Information from an External Data	9
Estimating Knee Movement Patterns of Recreational Runners Across Training Sessions Using Multilevel Functional Regression Models	9
Statistical Inference for Method of Moments Estimators of a Semi-Supervised Two-Component Mixture Model	9
Analytics, Have Some Humility: A Statistical View of Fourth-Down Decision Making	9
Beyond the Yard Line: Accommodating Rounded Sports Data in Statistical Models	9
A Look into the Problem of Preferential Sampling through the Lens of Survey Statistics	9
A Class of Regression Association Measures based on Concordance	8

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
Nonparametric Block Bootstrap Kolmogorov-Smirnov Goodness-of-Fit Test	7
Semi-Structured Distributional Regression	7
Evidential Calibration of Confidence Intervals	7
Feature Selection in Cox Model with Partially Observed Covariates: Application to Oncology Trials	7
Out-of-Sample R ² : Estimation and Inference	7
Abraham Wald and the Origins of the Sequential Probability Ratio Test	7
A Comparison of DeepSeek and other LLMs	7
On a Possible Improvement of the D’Agostino Test of Normality	6
First-Passage Times for Random Partial Sums: Yadrenko’s Model for e and Beyond	6
Linear Model Estimation and Prediction for p > n	6
Confidence Distributions for the Autoregressive Parameter	5
The bixplot: A Variation on the Boxplot Suited for Bimodal Data	5
Near-Peer Mentoring in Data Science: A Plot for Mutual Growth	5
Towards Community-Based Participatory Statistics Research Using Secondary Data	5
A First Course in Causal Inference	5
Assessment and Continuous Improvement of an Undergraduate Data Science Program	4
Data Science in Practice	4
Foundations of Data Science with Python	4
On Arbitrarily Underdispersed Discrete Distributions	4
Explainable Linear and Generalized Linear Models by the Predictions Plot	4
Spatial Sampling with R	4
Modern Data Visualization with R	4
Integrating Ethics into the Guidelines for Assessment and Instruction in Statistics Education (GAISE)	4
Composite Quantile Tensor Regression	4
The Best Time to Play the Lottery	4
The Storyboard: A Tool to Synthesize, Reflect On, and Write About Data Investigations	4
Cross-Validatory Z-Residual for Diagnosing Shared Frailty Models	3
RafterNet: Probabilistic Predictions in Multi-Response Regression	3
Tightening Blocks in Complementary Analyses of Observational Studies: Optimization Algorithm and Examples	3
A Comparative Tutorial of Bayesian Sequential Design and Reinforcement Learning	3
A Review of Design of Experiments Courses Offered to Undergraduate Students at American Universities	3
Improved Approximation and Visualization of the Correlation Matrix	3
Introduction to Stochastic Finance with Market Examples, 2nd ed Introduction to Stochastic Finance with Market Examples, 2nd ed . Nicolas Privault, Boca Raton, FL: Chapm	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
Flexible Bayesian Multiple Comparison Adjustment Using Dirichlet Process and Beta-Binomial Model Priors	3
Proximal MCMC for Bayesian Inference of Constrained and Regularized Estimation	3
Object Oriented Data Analysis	3
Selecting the Best Compositions of a Wheelchair Basketball Team: A Data-Driven Approach	3
Revisiting the Name Variant of the Two-Children Problem	3
Prioritizing Variables for Observational Study Design using the Joint Variable Importance Plot	3
Toward Explainable Data and Sports Analytics: A Case Study on Pass Completion Prediction in American Football	3
Scaffolding Responsible Software Use: Evaluating the Effectiveness of a Causal Inference Tool	3
A Case for Nonparametrics	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
Differentially Private Methods for Releasing Results of Stability Analyses	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