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 2022-05-01 to 2026-05-01.)

Article	Citations
Lessons from a Discussion-Based Course on the History of Statistics	43
A Note on Monte Carlo Integration in High Dimensions	36
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	15
Technical Validation of Plot Designs by Use of Deep Learning	14
An Example to Illustrate Randomized Trial Estimands and Estimators	13
Seeing Different Stories: Human Variability in Statistical Assumption Checking and Model Selection	12
Data Privacy Protection and Utility Preservation through Bayesian Data Synthesis: A Case Study on Airbnb Listings	12
Introduction to Regression Methods for Public Health Using R	12
On Devon Allen’s Disqualification at the 2022 World Track and Field Championships	12
Invariant Measures of Disagreement with Stochastic Dominance	11
Beyond the Yard Line: Accommodating Rounded Sports Data in Statistical Models	10
Statistical Inference for Method of Moments Estimators of a Semi-Supervised Two-Component Mixture Model	10
Hitting a Prime in 2.43 Dice Rolls (On Average)	9
Integrative Data Analysis Where Partial Covariates Have Complex Nonlinear Effects by Using Summary Information from an External Data	9
The Cauchy Combination Test under Arbitrary Dependence Structures	9
Analytics, Have Some Humility: A Statistical View of Fourth-Down Decision Making	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
Estimation of Contact Time Among Animals from Telemetry Data	8
Estimating Knee Movement Patterns of Recreational Runners Across Training Sessions Using Multilevel Functional Regression Models	7
Abraham Wald and the Origins of the Sequential Probability Ratio Test	7
A Comparison of DeepSeek and other LLMs	7
Multiple-Model-based Robust Estimation of Causal Treatment Effect on a Binary Outcome with Integrated Information from Secondary Outcomes	7

Evidential Calibration of Confidence Intervals	7
Out-of-Sample R ² : Estimation and Inference	7
Feature Selection in Cox Model with Partially Observed Covariates: Application to Oncology Trials	7
Semi-Structured Distributional Regression	7
A First Course in Causal Inference	6
Towards Community-Based Participatory Statistics Research Using Secondary Data	6
Nonparametric Block Bootstrap Kolmogorov-Smirnov Goodness-of-Fit Test	6
Near-Peer Mentoring in Data Science: A Plot for Mutual Growth	6
Confidence Distributions for the Autoregressive Parameter	6
First-Passage Times for Random Partial Sums: Yadrenko’s Model for e and Beyond	6
On a Possible Improvement of the D’Agostino Test of Normality	6
The Best Time to Play the Lottery	5
Linear Model Estimation and Prediction for p > n	5
Spatial Sampling with R	5
Foundations of Data Science with Python	5
Data Science in Practice	5
Assessment and Continuous Improvement of an Undergraduate Data Science Program	4
Integrating Ethics into the Guidelines for Assessment and Instruction in Statistics Education (GAISE)	4
Modern Data Visualization with R	4
Prioritizing Variables for Observational Study Design using the Joint Variable Importance Plot	4
On Arbitrarily Underdispersed Discrete Distributions	4
RafterNet: Probabilistic Predictions in Multi-Response Regression	4
The Storyboard: A Tool to Synthesize, Reflect On, and Write About Data Investigations	4
A Statistical Approach to Latent Dynamic Modeling with Differential Equations	3
A Response to Rice and Lumley	3
Scaffolding Responsible Software Use: Evaluating the Effectiveness of a Causal Inference Tool	3
A Case for Nonparametrics	3
Proximal MCMC for Bayesian Inference of Constrained and Regularized Estimation	3
Object Oriented Data Analysis	3
Cross-Validatory Z-Residual for Diagnosing Shared Frailty Models	3
Tightening Blocks in Complementary Analyses of Observational Studies: Optimization Algorithm and Examples	3
Revisiting the Name Variant of the Two-Children Problem	3
A Review of Design of Experiments Courses Offered to Undergraduate Students at American Universities	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
Toward Explainable Data and Sports Analytics: A Case Study on Pass Completion Prediction in American Football	3
Explainable Linear and Generalized Linear Models by the Predictions Plot	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
A Comparative Tutorial of Bayesian Sequential Design and Reinforcement Learning	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
Linearity of Unbiased Linear Model Estimators	2
An Overview of Large Language Models for Statisticians	2
Hypothesis Testing for Matched Pairs with Missing Data by Maximum Mean Discrepancy: An Application to Continuous Glucose Monitoring	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
Counternull Sets in Randomized Experiments	2
A Characterization of Most(More) Powerful Test Statistics with Simple Nonparametric Applications	2
Hierarchical Spatio-Temporal Change-Point Detection	2
Nonparametric Statistical Methods Using R, 2nd ed.	2

Distribution-Free Location-Scale Regression	2
Selecting the Best Compositions of a Wheelchair Basketball Team: A Data-Driven Approach	2
Facilitating a Collaborative Relationship between Generative AI and the Statistics Student	2
Forbidden Knowledge and Specialized Training: A Versatile Solution for the Two Main Sources of Overfitting in Linear Regression	2
Bayesian Inference and the Principle of Maximum Entropy	2
Leadership in Statistics and Data Science: Planning for Inclusive Excellence,	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
Neural Autoregressive Flows based Variational Bayes Model Averaging	1
Probabilistic Parameter Estimates that Require Less Small Print	1
Statistical inference for spatio-temporal autoregressive models of covariates with additive measurement errors	1
Additive Hazards Regression Analysis of Massive Interval-Censored Data via Data Splitting	1
Thick Data Analytics (TDA): An Iterative and Inductive Framework for Algorithmic Improvement	1
Bayesian Detection of Bias in Peremptory Challenges Using Historical Strike Data	1
On the Term “Randomization Test”	1
A Comparative Analysis of Phase I Dose-Finding Designs Incorporating Pharmacokinetics Information	1
Here Comes the STRAIN: Analyzing Defensive Pass Rush in American Football with Player Tracking Data	1
Inverse Probability Weighting Estimation in Completely Randomized Experiments	1
Logistic Regression Model for Differentially Private Matrix Masking Data	1
American Football Scores: Using Partially Regularized Ordinal Regression to Adjust for Strength of Opponents, Within-Team Complementary Unit Performance	1
A Course in the Large Sample Theory of Statistical Inference,	1
Athlete Recruitment and the Myth of the Sophomore Peak	1
The Wald Confidence Interval for a Binomial p as an Illuminating “Bad” Example	1
Group Testing Complexity	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
Play Call Strategies and Modeling for Target Outcomes in Football	1
Selection Criterion of Working Correlation Structure for Spatially Correlated Data	1
Bayesian-Frequentist Hybrid Inference in Applications with Small Sample Sizes	1
Statistical Challenges in Online Controlled Experiments: A Review of A/B Testing Methodology	1
Bivariate Analysis of Distribution Functions Under Biased Sampling	1
Closed-Form Power and Sample Size Calculations for Bayes Factors	1
Causal Quartets: Different Ways to Attain the Same Average Treatment Effect	1
Missing Data Imputation with High-Dimensional Data	1
Using Conformal Win Probability to Predict the Winners of the Canceled 2020 NCAA Basketball Tournaments	1
A Simple and Fast Algorithm for Generating Correlation Matrices with a Known Average Correlation Coefficient	1
Causal Inference with Complex Surveys: A Unified Perspective on Sample Selection and Exposure Selection	1
On Point Estimators for Gamma and Beta Distributions	1
The R2D2 Prior for Generalized Linear Mixed Models	1
An Effective and Small Sample-Size Valid Confidence Interval for Isotonic Dose–Response Curves by Inverting a Partial Likelihood Ratio Test	1
Graph Sampling	1
Comment on “On Optimal Correlation-Based Prediction”, By Bottai et al. (2022)	1
The Current State of Undergraduate Bayesian Education and Recommendations for the Future	1
Introduction to Political Analysis in R	1
Bayesian Log-Rank Test	1
Forecasting Future Eruptions Using Hierarchical Trend Renewal Processes	1
A Multivariate Fractional Hawkes Process for Multiple Earthquake Mainshock Aftershock Sequences	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