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 2021-07-01 to 2025-07-01.)

Article	Citations
A Note on Monte Carlo Integration in High Dimensions	85
Lessons from a Discussion-Based Course on the History of Statistics	54
Optimal and Fast Confidence Intervals for Hypergeometric Successes	42
An Example to Illustrate Randomized Trial Estimands and Estimators	26
On Devon Allen’s Disqualification at the 2022 World Track and Field Championships	22
Technical Validation of Plot Designs by Use of Deep Learning	21
Pseudo-Ranks: The Better Way of Ranking?	21
Data Privacy Protection and Utility Preservation through Bayesian Data Synthesis: A Case Study on Airbnb Listings	15
Statistical Inference for Method of Moments Estimators of a Semi-Supervised Two-Component Mixture Model	14
Applied Directional Statistics: Modern Methods and Case Studies	14
Integrative Data Analysis Where Partial Covariates Have Complex Nonlinear Effects by Using Summary Information from an External Data	12
Bayesian Testing of Linear Versus Nonlinear Effects Using Gaussian Process Priors	12
The Cauchy Combination Test under Arbitrary Dependence Structures	11
Analytics, Have Some Humility: A Statistical View of Fourth-Down Decision Making	10
A Survey of Bias in Machine Learning Through the Prism of Statistical Parity	10
A Look into the Problem of Preferential Sampling through the Lens of Survey Statistics	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
Multiple-Model-based Robust Estimation of Causal Treatment Effect on a Binary Outcome with Integrated Information from Secondary Outcomes	8
Estimating Knee Movement Patterns of Recreational Runners Across Training Sessions Using Multilevel Functional Regression Models	7
Hitting a Prime in 2.43 Dice Rolls (On Average)	7
Evidential Calibration of Confidence Intervals	7
Estimation of Contact Time Among Animals from Telemetry Data	7
Out-of-Sample R ² : Estimation and Inference	7
A Class of Regression Association Measures based on Concordance	7

Beyond Multiple Linear Regression: Applied Generalized Linear Models and Multilevel Models in R	6
Semi-Structured Distributional Regression	6
Alpha Seminar: A Course for New Graduate Students in Statistics	6
Comparative Probability Metrics: Using Posterior Probabilities to Account for Practical Equivalence in A/B tests	6
On Arbitrarily Underdispersed Discrete Distributions	5
The Best Time to Play the Lottery	5
A Bayesian Spatial Analysis of the Heterogeneity in Human Mobility Changes During the First Wave of the COVID-19 Epidemic in the United States	5
Modern Data Visualization with R	5
Spatial Sampling with R	5
Confidence Distributions for the Autoregressive Parameter	5
Foundations of Data Science with Python	5
First-Passage Times for Random Partial Sums: Yadrenko’s Model for e and Beyond	5
A Statistical Basis for Reporting Strength of Evidence as Pool Reduction	5
Cross-Validatory Z-Residual for Diagnosing Shared Frailty Models	4
RafterNet: Probabilistic Predictions in Multi-Response Regression	4
A Study on the Power Parameter in Power Prior Bayesian Analysis	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
Assessment and Continuous Improvement of an Undergraduate Data Science Program	4
Data Science in Practice	4
A Response to Rice and Lumley	3
The Loser’s Curse and the Critical Role of the Utility Function	3
Proximal MCMC for Bayesian Inference of Constrained and Regularized Estimation	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
Tightening Blocks in Complementary Analyses of Observational Studies: Optimization Algorithm and Examples	3
Revisiting the Name Variant of the Two-Children Problem	3
Assignment-Control Plots: A Visual Companion for Causal Inference Study Design	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
Leadership in Statistics and Data Science: Planning for Inclusive Excellence,	3
A Case for Nonparametrics	3
Statistics for Making Decisions,	3
Evaluating Real-Time Probabilistic Forecasts With Application to National Basketball Association Outcome Prediction	3
A Review of Design of Experiments Courses Offered to Undergraduate Students at American Universities	3
Statistical Implications of Endogeneity Induced by Residential Segregation in Small-Area Modeling of Health Inequities	3
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)	3
Probability and Statistical Inference: From Basic Principles to Advanced Models	2
The Wald Confidence Interval for a Binomial p as an Illuminating “Bad” Example	2
Reconstructing the Kaplan–Meier Estimator as an M-estimator	2
A Characterization of Most(More) Powerful Test Statistics with Simple Nonparametric Applications	2
Linearity of Unbiased Linear Model Estimators	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
Object Oriented Data Analysis	2
Forbidden Knowledge and Specialized Training: A Versatile Solution for the Two Main Sources of Overfitting in Linear Regression	2
Statistics in Medicine	2
On Point Estimators for Gamma and Beta Distributions	2
The R2D2 Prior for Generalized Linear Mixed Models	2
Bayesian Inference and the Principle of Maximum Entropy	2
Nonparametric Statistical Methods Using R, 2nd ed.	2

Distribution-Free Location-Scale Regression	2
Counternull Sets in Randomized Experiments	2
Coherent Tests for Interval Null Hypotheses	2
Bayesian Analysis of Infectious Diseases: COVID-19 and Beyond.	2
Hierarchical Spatio-Temporal Change-Point Detection	2
COVID-19 Pandemic as a Change Agent in the Structure and Practice of Statistical Consulting Centers	2
Hypothesis Testing for Matched Pairs with Missing Data by Maximum Mean Discrepancy: An Application to Continuous Glucose Monitoring	2
Pairwise Independence May Not Imply Independence: New Illustrations and a Generalization	2
Textual Data Science with R	2
Differentially Private Methods for Releasing Results of Stability Analyses	2
Selecting the Best Compositions of a Wheelchair Basketball Team: A Data-Driven Approach	2
Thick Data Analytics (TDA): An Iterative and Inductive Framework for Algorithmic Improvement	1
Additive Hazards Regression Analysis of Massive Interval-Censored Data via Data Splitting	1
Bivariate Analysis of Distribution Functions Under Biased Sampling	1
Play Call Strategies and Modeling for Target Outcomes in Football	1
An Effective and Small Sample-Size Valid Confidence Interval for Isotonic Dose–Response Curves by Inverting a Partial Likelihood Ratio Test	1
A Course in the Large Sample Theory of Statistical Inference,	1
On the Term “Randomization Test”	1
Causal Inference with Complex Surveys: A Unified Perspective on Sample Selection and Exposure Selection	1
A Simple and Fast Algorithm for Generating Correlation Matrices with a Known Average Correlation Coefficient	1
Causal Quartets: Different Ways to Attain the Same Average Treatment Effect	1
The “Poisson” Distribution: History, Reenactments, Adaptations	1
Bayesian Log-Rank Test	1
Comment on “On Optimal Correlation-Based Prediction”, By Bottai et al. (2022)	1
Bayesian-Frequentist Hybrid Inference in Applications with Small Sample Sizes	1
A Connection Between Baseball and Clinical Trials Found in “Slugging Percentage is Not a Percentage—And Why That Matters”	1
Using Conformal Win Probability to Predict the Winners of the Canceled 2020 NCAA Basketball Tournaments	1
Statistical Challenges in Online Controlled Experiments: A Review of A/B Testing Methodology	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 Study on Estimating the Parameter of the Truncated Geometric Distribution	1
Athlete Recruitment and the Myth of the Sophomore Peak	1
Inverse Probability Weighting Estimation in Completely Randomized Experiments	1
Bayesian Detection of Bias in Peremptory Challenges Using Historical Strike Data	1
On the Power of the F-test for Hypotheses in a Linear Model	1
Re-exploring the Penney-Ante Game	1
The Current State of Undergraduate Bayesian Education and Recommendations for the Future	1
A Review of Adversarial Attack and Defense for Classification Methods	1
Graph Sampling	1
Here Comes the STRAIN: Analyzing Defensive Pass Rush in American Football with Player Tracking Data	1
Missing Data Imputation with High-Dimensional Data	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
Using Differentiable Programming for Flexible Statistical Modeling	1
Closed-Form Power and Sample Size Calculations for Bayes Factors	1
Laplace’s Law of Succession Estimator and M-Statistics	1
Selection Criterion of Working Correlation Structure for Spatially Correlated Data	1