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 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
An Example to Illustrate Randomized Trial Estimands and Estimators	14
Technical Validation of Plot Designs by Use of Deep Learning	14
Invariant Measures of Disagreement with Stochastic Dominance	14
On Devon Allen’s Disqualification at the 2022 World Track and Field Championships	13
Data Privacy Protection and Utility Preservation through Bayesian Data Synthesis: A Case Study on Airbnb Listings	13
Introduction to Regression Methods for Public Health Using R	12
Seeing Different Stories: Human Variability in Statistical Assumption Checking and Model Selection	12
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
Integrative Data Analysis Where Partial Covariates Have Complex Nonlinear Effects by Using Summary Information from an External Data	10
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
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
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
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
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
Evidential Calibration of Confidence Intervals	7
A Comparison of DeepSeek and other LLMs	7
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
Data Science in Practice	6
On a Possible Improvement of the D’Agostino Test of Normality	6
Confidence Distributions for the Autoregressive Parameter	6
Spatial Sampling with R	5
The Best Time to Play the Lottery	5
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
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
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
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
Bayesian Inference and the Principle of Maximum Entropy	2
Leadership in Statistics and Data Science: Planning for Inclusive Excellence,	2
Linearity of Unbiased Linear Model Estimators	2
Hypothesis Testing for Matched Pairs with Missing Data by Maximum Mean Discrepancy: An Application to Continuous Glucose Monitoring	2
Hierarchical Spatio-Temporal Change-Point Detection	2
Facilitating a Collaborative Relationship between Generative AI and the Statistics Student	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
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

Nonparametric Statistical Methods Using R, 2nd ed.	2
An Overview of Large Language Models for Statisticians	2
Distribution-Free Location-Scale Regression	2
Counternull Sets in Randomized Experiments	2
Selecting the Best Compositions of a Wheelchair Basketball Team: A Data-Driven Approach	2
Forbidden Knowledge and Specialized Training: A Versatile Solution for the Two Main Sources of Overfitting in Linear Regression	2
Group Testing Complexity	1
Graph Sampling	1
Selection Criterion of Working Correlation Structure for Spatially Correlated Data	1
Laplace’s Law of Succession Estimator and M-Statistics	1
Thick Data Analytics (TDA): An Iterative and Inductive Framework for Algorithmic Improvement	1
American Football Scores: Using Partially Regularized Ordinal Regression to Adjust for Strength of Opponents, Within-Team Complementary Unit Performance	1
An Effective and Small Sample-Size Valid Confidence Interval for Isotonic Dose–Response Curves by Inverting a Partial Likelihood Ratio Test	1
Bayesian Log-Rank Test	1
Forecasting Future Eruptions Using Hierarchical Trend Renewal Processes	1
Bayesian Detection of Bias in Peremptory Challenges Using Historical Strike Data	1
Closed-Form Power and Sample Size Calculations for Bayes Factors	1
Bartroff, J., Lorden, G. and Wang, L. (2022), “Optimal and Fast Confidence Intervals for Hypergeometric Successes,” The American Statistician : Comment b	1
Taylor’s Theorem and Mean Value Theorem for Random Functions and Random Variables	1
Causal Inference with Complex Surveys: A Unified Perspective on Sample Selection and Exposure Selection	1
Athlete Recruitment and the Myth of the Sophomore Peak	1
A Characterization of Most(More) Powerful Test Statistics with Simple Nonparametric Applications	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
Introduction to Political Analysis in R	1
A Cornucopia of Maximum Likelihood Algorithms	1
Missing Data Imputation with High-Dimensional Data	1
A Comparative Analysis of Phase I Dose-Finding Designs Incorporating Pharmacokinetics Information	1
Statistical Inference for Spatio-Temporal Autoregressive Models of Covariates with Additive Measurement Errors	1
A Simple and Fast Algorithm for Generating Correlation Matrices with a Known Average Correlation Coefficient	1
Bayesian-Frequentist Hybrid Inference in Applications with Small Sample Sizes	1
Logistic Regression Model for Differentially Private Matrix Masking Data	1
The Current State of Undergraduate Bayesian Education and Recommendations for the Future	1
Bivariate Analysis of Distribution Functions Under Biased Sampling	1
Here Comes the STRAIN: Analyzing Defensive Pass Rush in American Football with Player Tracking Data	1
Causal Quartets: Different Ways to Attain the Same Average Treatment Effect	1
Neural Autoregressive Flows Based Variational Bayes Model Averaging	1
The R2D2 Prior for Generalized Linear Mixed Models	1
Probabilistic Parameter Estimates that Require Less Small Print	1
A Multivariate Fractional Hawkes Process for Multiple Earthquake Mainshock Aftershock Sequences	1
Momentum Effects in Team Sports: Analyzing the Interplay between Offense and Defense in the NBA	1
Additive Hazards Regression Analysis of Massive Interval-Censored Data via Data Splitting	1
Inverse Probability Weighting Estimation in Completely Randomized Experiments	1
Comment on “On Optimal Correlation-Based Prediction”, By Bottai et al. (2022)	1
Play Call Strategies and Modeling for Target Outcomes in Football	1
Scientific Data Analysis with R: Biostatistical Applications	1
Statistical Challenges in Online Controlled Experiments: A Review of A/B Testing Methodology	1
On the Term “Randomization Test”	1
Using Conformal Win Probability to Predict the Winners of the Canceled 2020 NCAA Basketball Tournaments	1
A Course in the Large Sample Theory of Statistical Inference,	1
On Point Estimators for Gamma and Beta Distributions	1
The Wald Confidence Interval for a Binomial p as an Illuminating “Bad” Example	1