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

Article	Citations
LASSO-Based Survival Prediction Modeling with Multiply Imputed Data: A Case Study in Tuberculosis Mortality Prediction	119
A Note on Monte Carlo Integration in High Dimensions	70
Lessons from a Discussion-Based Course on the History of Statistics	69
Technical Validation of Plot Designs by Use of Deep Learning	34
An Example to Illustrate Randomized Trial Estimands and Estimators	30
Data Privacy Protection and Utility Preservation through Bayesian Data Synthesis: A Case Study on Airbnb Listings	21
Optimal and Fast Confidence Intervals for Hypergeometric Successes	15
Invariant Measures of Disagreement with Stochastic Dominance	14
On Devon Allen’s Disqualification at the 2022 World Track and Field Championships	13
Bayesian Testing of Linear Versus Nonlinear Effects Using Gaussian Process Priors	11
A Look into the Problem of Preferential Sampling through the Lens of Survey Statistics	11
Integrative Data Analysis Where Partial Covariates Have Complex Nonlinear Effects by Using Summary Information from an External Data	11
Analytics, Have Some Humility: A Statistical View of Fourth-Down Decision Making	10
Beyond the Yard Line: Accommodating Rounded Sports Data in Statistical Models	9
Statistical Inference for Method of Moments Estimators of a Semi-Supervised Two-Component Mixture Model	9
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
Hitting a Prime in 2.43 Dice Rolls (On Average)	8
Estimating Knee Movement Patterns of Recreational Runners Across Training Sessions Using Multilevel Functional Regression Models	8
Demystifying Statistical Learning Based on Efficient Influence Functions	8
Estimation of Contact Time Among Animals from Telemetry Data	8
Evidential Calibration of Confidence Intervals	7
Multiple-Model-based Robust Estimation of Causal Treatment Effect on a Binary Outcome with Integrated Information from Secondary Outcomes	7
Semi-Structured Distributional Regression	7
Out-of-Sample R ² : Estimation and Inference	7

Alpha Seminar: A Course for New Graduate Students in Statistics	7
A Class of Regression Association Measures based on Concordance	7
Nonparametric Block Bootstrap Kolmogorov-Smirnov Goodness-of-Fit Test	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
Abraham Wald and the Origins of the Sequential Probability Ratio Test	6
Feature selection in Cox model with partially observed covariates: Application to oncology trials	6
First-Passage Times for Random Partial Sums: Yadrenko’s Model for e and Beyond	6
Modern Data Visualization with R	5
The Best Time to Play the Lottery	5
Confidence Distributions for the Autoregressive Parameter	5
Linear Model Estimation and Prediction for p > n	5
Integrating Ethics into the Guidelines for Assessment and Instruction in Statistics Education (GAISE)	5
On Arbitrarily Underdispersed Discrete Distributions	5
A First Course in Causal Inference	5
Data Science in Practice	5
Foundations of Data Science with Python	5
The Storyboard: A Tool to Synthesize, Reflect On, and Write About Data Investigations	5
Near-Peer Mentoring in Data Science: A Plot for Mutual Growth	5
Spatial Sampling with R	5
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
Prioritizing Variables for Observational Study Design using the Joint Variable Importance Plot	4
Explainable Linear and Generalized Linear Models by the Predictions Plot	4
Cross-Validatory Z-Residual for Diagnosing Shared Frailty Models	4
RafterNet: Probabilistic Predictions in Multi-Response Regression	4
A Statistical Approach to Latent Dynamic Modeling with Differential Equations	4
A Study on the Power Parameter in Power Prior Bayesian Analysis	4
A Case for Nonparametrics	3
A Response to Rice and Lumley	3
The Loser’s Curse and the Critical Role of the Utility Function	3
A Review of Design of Experiments Courses Offered to Undergraduate Students at American Universities	3
Revisiting the Name Variant of the Two-Children Problem	3
Statistics for Making Decisions,	3
Toward Explainable Data and Sports Analytics: A Case Study on Pass Completion Prediction in American Football	3
A Comparative Tutorial of Bayesian Sequential Design and Reinforcement Learning	3
Proximal MCMC for Bayesian Inference of Constrained and Regularized Estimation	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
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