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 2021-11-01 to 2025-11-01.)

Article	Citations
LASSO-Based Survival Prediction Modeling with Multiply Imputed Data: A Case Study in Tuberculosis Mortality Prediction	110
A Note on Monte Carlo Integration in High Dimensions	62
Lessons from a Discussion-Based Course on the History of Statistics	57
Technical Validation of Plot Designs by Use of Deep Learning	31
An Example to Illustrate Randomized Trial Estimands and Estimators	26
On Devon Allen’s Disqualification at the 2022 World Track and Field Championships	19
Data Privacy Protection and Utility Preservation through Bayesian Data Synthesis: A Case Study on Airbnb Listings	17
Optimal and Fast Confidence Intervals for Hypergeometric Successes	14
Invariant Measures of Disagreement with Stochastic Dominance	13
Statistical Inference for Method of Moments Estimators of a Semi-Supervised Two-Component Mixture Model	13
Analytics, Have Some Humility: A Statistical View of Fourth-Down Decision Making	11
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	10
Integrative Data Analysis Where Partial Covariates Have Complex Nonlinear Effects by Using Summary Information from an External Data	10
The Cauchy Combination Test under Arbitrary Dependence Structures	9
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
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
Semi-Structured Distributional Regression	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
Out-of-Sample R ² : Estimation and Inference	7
Evidential Calibration of Confidence Intervals	7
Estimation of Contact Time Among Animals from Telemetry Data	7

Confidence Distributions for the Autoregressive Parameter	6
Near-Peer Mentoring in Data Science: A Plot for Mutual Growth	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	6
First-Passage Times for Random Partial Sums: Yadrenko’s Model for e and Beyond	6
Alpha Seminar: A Course for New Graduate Students in Statistics	6
Linear Model Estimation and Prediction for p>n	6
Foundations of Data Science with Python	5
The Storyboard: A Tool to Synthesize, Reflect On, and Write About Data Investigations	5
The Best Time to Play the Lottery	5
Integrating Ethics into the Guidelines for Assessment and Instruction in Statistics Education (GAISE)	5
On Arbitrarily Underdispersed Discrete Distributions	5
Spatial Sampling with R	5
A First Course in Causal Inference	5
Modern Data Visualization with R	5
Data Science in Practice	5
Explainable Linear and Generalized Linear Models by the Predictions Plot	4
Prioritizing Variables for Observational Study Design using the Joint Variable Importance Plot	4
Statistics for Making Decisions,	4
Cross-Validatory Z-Residual for Diagnosing Shared Frailty Models	4
Flexible Bayesian Multiple Comparison Adjustment Using Dirichlet Process and Beta-Binomial Model Priors	4
Assessment and Continuous Improvement of an Undergraduate Data Science Program	4
RafterNet: Probabilistic Predictions in Multi-Response Regression	4
A Study on the Power Parameter in Power Prior Bayesian Analysis	4
A Statistical Approach to Latent Dynamic Modeling with Differential Equations	4
A Response to Rice and Lumley	4
Revisiting the Name Variant of the Two-Children Problem	3
Proximal MCMC for Bayesian Inference of Constrained and Regularized Estimation	3
A Comparative Tutorial of Bayesian Sequential Design and Reinforcement Learning	3
Object Oriented Data Analysis	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
Tightening Blocks in Complementary Analyses of Observational Studies: Optimization Algorithm and Examples	3
A Case for Nonparametrics	3
The Loser’s Curse and the Critical Role of the Utility Function	3
Statistical Implications of Endogeneity Induced by Residential Segregation in Small-Area Modeling of Health Inequities	3
Improved Approximation and Visualization of the Correlation Matrix	3
Toward Explainable Data and Sports Analytics: A Case Study on Pass Completion Prediction in American Football	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
A Review of Design of Experiments Courses Offered to Undergraduate Students at American Universities	3