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 2022-08-01 to 2026-08-01.)

Article	Citations
Lessons from a Discussion-Based Course on the History of Statistics	53
A Note on Monte Carlo Integration in High Dimensions	43
LASSO-Based Survival Prediction Modeling with Multiply Imputed Data: A Case Study in Tuberculosis Mortality Prediction	27
Exercises in Statistical Reasoning.	25
Estimating Mean and Variance From Right-censored Data	20
Optimal and Fast Confidence Intervals for Hypergeometric Successes	20
Collinear Groupwise Selection via Scaled Group Lasso	20
Explainable Rank-Based Anomaly Detection	15
Technical Validation of Plot Designs by Use of Deep Learning	15
An Example to Illustrate Randomized Trial Estimands and Estimators	14
Invariant Measures of Disagreement with Stochastic Dominance	13
On Devon Allen’s Disqualification at the 2022 World Track and Field Championships	13
On the Relation between Likelihood Ratios and p -values for Testing Success Probabilities of Bernoulli Trials	12
Seeing Different Stories: Human Variability in Statistical Assumption Checking and Model Selection	12
Prior Sensitivity Analysis without Model Re-Fit	11
Introduction to Regression Methods for Public Health Using R	11
Analytics, Have Some Humility: A Statistical View of Fourth-Down Decision Making	9
Beyond the Yard Line: Accommodating Rounded Sports Data in Statistical Models	9
A Look into the Problem of Preferential Sampling through the Lens of Survey Statistics	9
Estimation of Contact Time Among Animals from Telemetry Data	9
The Cauchy Combination Test under Arbitrary Dependence Structures	9
Integrative Data Analysis Where Partial Covariates Have Complex Nonlinear Effects by Using Summary Information from an External Data	9
Estimating Knee Movement Patterns of Recreational Runners Across Training Sessions Using Multilevel Functional Regression Models	9
Statistical Inference for Method of Moments Estimators of a Semi-Supervised Two-Component Mixture Model	9
Multiple-Model-based Robust Estimation of Causal Treatment Effect on a Binary Outcome with Integrated Information from Secondary Outcomes	8

A Class of Regression Association Measures based on Concordance	8
Hitting a Prime in 2.43 Dice Rolls (On Average)	8
Out-of-Sample R ² : Estimation and Inference	7
Abraham Wald and the Origins of the Sequential Probability Ratio Test	7
A Comparison of DeepSeek and other LLMs	7
Nonparametric Block Bootstrap Kolmogorov-Smirnov Goodness-of-Fit Test	7
Semi-Structured Distributional Regression	7
Evidential Calibration of Confidence Intervals	7
Feature Selection in Cox Model with Partially Observed Covariates: Application to Oncology Trials	7
Linear Model Estimation and Prediction for p > n	6
On a Possible Improvement of the D’Agostino Test of Normality	6
First-Passage Times for Random Partial Sums: Yadrenko’s Model for e and Beyond	6
A First Course in Causal Inference	5
Confidence Distributions for the Autoregressive Parameter	5
The bixplot: A Variation on the Boxplot Suited for Bimodal Data	5
Near-Peer Mentoring in Data Science: A Plot for Mutual Growth	5
Towards Community-Based Participatory Statistics Research Using Secondary Data	5
Modern Data Visualization with R	4
Integrating Ethics into the Guidelines for Assessment and Instruction in Statistics Education (GAISE)	4
Composite Quantile Tensor Regression	4
The Best Time to Play the Lottery	4
The Storyboard: A Tool to Synthesize, Reflect On, and Write About Data Investigations	4
Assessment and Continuous Improvement of an Undergraduate Data Science Program	4
Data Science in Practice	4
Foundations of Data Science with Python	4
On Arbitrarily Underdispersed Discrete Distributions	4
Explainable Linear and Generalized Linear Models by the Predictions Plot	4
Spatial Sampling with R	4
Revisiting the Name Variant of the Two-Children Problem	3
Prioritizing Variables for Observational Study Design using the Joint Variable Importance Plot	3
Toward Explainable Data and Sports Analytics: A Case Study on Pass Completion Prediction in American Football	3
Scaffolding Responsible Software Use: Evaluating the Effectiveness of a Causal Inference Tool	3
A Case for Nonparametrics	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
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
Cross-Validatory Z-Residual for Diagnosing Shared Frailty Models	3
RafterNet: Probabilistic Predictions in Multi-Response Regression	3
Tightening Blocks in Complementary Analyses of Observational Studies: Optimization Algorithm and Examples	3
A Comparative Tutorial of Bayesian Sequential Design and Reinforcement Learning	3
A Review of Design of Experiments Courses Offered to Undergraduate Students at American Universities	3
Improved Approximation and Visualization of the Correlation Matrix	3
Introduction to Stochastic Finance with Market Examples, 2nd ed Introduction to Stochastic Finance with Market Examples, 2nd ed . Nicolas Privault, Boca Raton, FL: Chapm	3
A Statistical Approach to Latent Dynamic Modeling with Differential Equations	3
A Response to Rice and Lumley	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
Proximal MCMC for Bayesian Inference of Constrained and Regularized Estimation	3
Object Oriented Data Analysis	3
Selecting the Best Compositions of a Wheelchair Basketball Team: A Data-Driven Approach	3

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