OOIR: Observatory of International Research

Papers

(The median citation count of American Statistician is 1. 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
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
Bayesian Testing of Linear Versus Nonlinear Effects Using Gaussian Process Priors	10
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
The Cauchy Combination Test under Arbitrary Dependence Structures	9
Multiple-Model-based Robust Estimation of Causal Treatment Effect on a Binary Outcome with Integrated Information from Secondary Outcomes	8
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	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
Semi-Structured Distributional Regression	7
A Class of Regression Association Measures based on Concordance	7

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
Confidence Distributions for the Autoregressive Parameter	6
Near-Peer Mentoring in Data Science: A Plot for Mutual Growth	6
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
Foundations of Data Science with Python	5
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
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
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
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
Coherent Tests for Interval Null Hypotheses	2
Statistics in Medicine	2
The R2D2 Prior for Generalized Linear Mixed Models	2
Distribution-Free Location-Scale Regression	2
Rejoinder to Harville (2022) and Christensen (2022) Comments on “On the Power of the F-test for Hypotheses in a Linear Model,” by Griffiths and Hill (2022)	2
Differentially Private Methods for Releasing Results of Stability Analyses	2
Forbidden Knowledge and Specialized Training: A Versatile Solution for the Two Main Sources of Overfitting in Linear Regression	2
Causal Inference with Complex Surveys: A Unified Perspective on Sample Selection and Exposure Selection	2
The Wald Confidence Interval for a Binomial p as an Illuminating “Bad” Example	2
Hypothesis Testing for Matched Pairs with Missing Data by Maximum Mean Discrepancy: An Application to Continuous Glucose Monitoring	2

COVID-19 Pandemic as a Change Agent in the Structure and Practice of Statistical Consulting Centers	2
Counternull Sets in Randomized Experiments	2
Introduction to Stochastic Finance with Market Examples, 2nd ed Introduction to Stochastic Finance with Market Examples, 2nd ed . Nicolas Privault, Boca Raton, FL: Chapm	2
Nonparametric Statistical Methods Using R, 2nd ed.	2
Bayesian Inference and the Principle of Maximum Entropy	2
Athlete Recruitment and the Myth of the Sophomore Peak	2
On Point Estimators for Gamma and Beta Distributions	2
Bayesian Analysis of Infectious Diseases: COVID-19 and Beyond.	2
Pairwise Independence May Not Imply Independence: New Illustrations and a Generalization	2
Linearity of Unbiased Linear Model Estimators	2
Leadership in Statistics and Data Science: Planning for Inclusive Excellence,	2
Hierarchical Spatio-Temporal Change-Point Detection	2
Selecting the Best Compositions of a Wheelchair Basketball Team: A Data-Driven Approach	2
A Characterization of Most(More) Powerful Test Statistics with Simple Nonparametric Applications	2
A Course in the Large Sample Theory of Statistical Inference,	1
Using Differentiable Programming for Flexible Statistical Modeling	1
A Study on Estimating the Parameter of the Truncated Geometric Distribution	1
Inverse Probability Weighting Estimation in Completely Randomized Experiments	1
On the Power of the F-test for Hypotheses in a Linear Model	1
Bayesian Log-Rank Test	1
On the Term “Randomization Test”	1
The Current State of Undergraduate Bayesian Education and Recommendations for the Future	1
Missing Data Imputation with High-Dimensional Data	1
Play Call Strategies and Modeling for Target Outcomes in Football	1
Statistical Challenges in Online Controlled Experiments: A Review of A/B Testing Methodology	1
A Comparative Analysis of Phase I Dose-Finding Designs Incorporating Pharmacokinetics Information	1
Causal Quartets: Different Ways to Attain the Same Average Treatment Effect	1
Bayesian Modeling and Computation in PythonOsvaldo A. Martin, Ravin Kumar, and Junpeng Lao, Boca Raton, FL: Chapman & Hall/CRC Press, 2022, xxii + 398 pp., $99.95(H), ISBN: 978-0-367-89436-8.	1
Comment on “On Optimal Correlation-Based Prediction”, By Bottai et al. (2022)	1
Bayesian Detection of Bias in Peremptory Challenges Using Historical Strike Data	1
A Cornucopia of Maximum Likelihood Algorithms	1
Thick Data Analytics (TDA): An Iterative and Inductive Framework for Algorithmic Improvement	1
A Review of Adversarial Attack and Defense for Classification Methods	1
Here Comes the STRAIN: Analyzing Defensive Pass Rush in American Football with Player Tracking Data	1
Bayesian-Frequentist Hybrid Inference in Applications with Small Sample Sizes	1
Graph Sampling	1
Forecasting Future Eruptions Using Hierarchical Trend Renewal Processes	1
Bartroff, J., Lorden, G. and Wang, L. (2022), “Optimal and Fast Confidence Intervals for Hypergeometric Successes,” The American Statistician: Comment by Schilling	1
A Simple and Fast Algorithm for Generating Correlation Matrices with a Known Average Correlation Coefficient	1
Using Conformal Win Probability to Predict the Winners of the Canceled 2020 NCAA Basketball Tournaments	1
The “Poisson” Distribution: History, Reenactments, Adaptations	1
Additive Hazards Regression Analysis of Massive Interval-Censored Data via Data Splitting	1
Bivariate Analysis of Distribution Functions Under Biased Sampling	1
A Connection Between Baseball and Clinical Trials Found in “Slugging Percentage is Not a Percentage—And Why That Matters”	1
American Football Scores: Using Partially Regularized Ordinal Regression to Adjust for Strength of Opponents, Within-Team Complementary Unit Performance	1
Closed-Form Power and Sample Size Calculations for Bayes Factors	1
An Effective and Small Sample-Size Valid Confidence Interval for Isotonic Dose–Response Curves by Inverting a Partial Likelihood Ratio Test	1