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 2021-06-01 to 2025-06-01.)

Article	Citations
A Note on Monte Carlo Integration in High Dimensions	80
Lessons from a Discussion-Based Course on the History of Statistics	52
Optimal and Fast Confidence Intervals for Hypergeometric Successes	36
An Example to Illustrate Randomized Trial Estimands and Estimators	26
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	19
A Look into the Problem of Preferential Sampling through the Lens of Survey Statistics	15
Statistical Inference for Method of Moments Estimators of a Semi-Supervised Two-Component Mixture Model	14
Analytics, Have Some Humility: A Statistical View of Fourth-Down Decision Making	13
Applied Directional Statistics: Modern Methods and Case Studies	12
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	11
The Cauchy Combination Test under Arbitrary Dependence Structures	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
A Survey of Bias in Machine Learning Through the Prism of Statistical Parity	9
Hitting a Prime in 2.43 Dice Rolls (On Average)	8
Multiple-Model-based Robust Estimation of Causal Treatment Effect on a Binary Outcome with Integrated Information from Secondary Outcomes	8
Out-of-Sample R ² : Estimation and Inference	7
A Class of Regression Association Measures based on Concordance	7
Estimating Knee Movement Patterns of Recreational Runners Across Training Sessions Using Multilevel Functional Regression Models	7
Estimation of Contact Time Among Animals from Telemetry Data	7
Semi-Structured Distributional Regression	6
Beyond Multiple Linear Regression: Applied Generalized Linear Models and Multilevel Models in R	6

Evidential Calibration of Confidence Intervals	6
Alpha Seminar: A Course for New Graduate Students in Statistics	6
A Statistical Basis for Reporting Strength of Evidence as Pool Reduction	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
Comparative Probability Metrics: Using Posterior Probabilities to Account for Practical Equivalence in A/B tests	5
Spatial Sampling with R	5
Confidence Distributions for the Autoregressive Parameter	5
Data Science in Practice.	5
First-Passage Times for Random Partial Sums: Yadrenko’s Model for e and Beyond	5
On Arbitrarily Underdispersed Discrete Distributions	4
Foundations of Data Science with Python	4
Assessment and Continuous Improvement of an Undergraduate Data Science Program	4
Prioritizing Variables for Observational Study Design using the Joint Variable Importance Plot	4
Evaluating Real-Time Probabilistic Forecasts With Application to National Basketball Association Outcome Prediction	4
Integrating Ethics into the Guidelines for Assessment and Instruction in Statistics Education (GAISE)	4
Modern Data Visualization with R	4
RafterNet: Probabilistic Predictions in Multi-Response Regression	4
Cross-Validatory Z-Residual for Diagnosing Shared Frailty Models	4
A Response to Rice and Lumley	3
The Loser’s Curse and the Critical Role of the Utility Function	3
Revisiting the Name Variant of the Two-Children Problem	3
Improved Approximation and Visualization of the Correlation Matrix	3
A Review of Design of Experiments Courses Offered to Undergraduate Students at American Universities	3
Tightening Blocks in Complementary Analyses of Observational Studies: Optimization Algorithm and Examples	3
A Study on the Power Parameter in Power Prior Bayesian Analysis	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
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
A Comparative Tutorial of Bayesian Sequential Design and Reinforcement Learning	3
Assignment-Control Plots: A Visual Companion for Causal Inference Study Design	3
Statistics for Making Decisions,	3
A Case for Nonparametrics	3
Statistical Implications of Endogeneity Induced by Residential Segregation in Small-Area Modeling of Health Inequities	3
Proximal MCMC for Bayesian Inference of Constrained and Regularized Estimation	3
Probability and Statistical Inference: From Basic Principles to Advanced Models	2
Linearity of Unbiased Linear Model Estimators	2
Selecting the Best Compositions of a Wheelchair Basketball Team: A Data-Driven Approach	2
Object Oriented Data Analysis	2
Coherent Tests for Interval Null Hypotheses	2
A Characterization of Most(More) Powerful Test Statistics with Simple Nonparametric Applications	2
Reconstructing the Kaplan–Meier Estimator as an M-estimator	2
COVID-19 Pandemic as a Change Agent in the Structure and Practice of Statistical Consulting Centers	2
Bayesian Analysis of Infectious Diseases: COVID-19 and Beyond.	2
The R2D2 Prior for Generalized Linear Mixed Models	2
Distribution-Free Location-Scale Regression	2
Counternull Sets in Randomized Experiments	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
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
Hierarchical Spatio-Temporal Change-Point Detection	2

Bayesian Inference and the Principle of Maximum Entropy	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
Leadership in Statistics and Data Science: Planning for Inclusive Excellence,	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 Wald Confidence Interval for a Binomial p as an Illuminating “Bad” Example	2
Causal Quartets: Different Ways to Attain the Same Average Treatment Effect	1
Using Differentiable Programming for Flexible Statistical Modeling	1
Play Call Strategies and Modeling for Target Outcomes in Football	1
On the Power of the F-test for Hypotheses in a Linear Model	1
Laplace’s Law of Succession Estimator and M-Statistics	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
Bartroff, J., Lorden, G. and Wang, L. (2022), “Optimal and Fast Confidence Intervals for Hypergeometric Successes,” The American Statistician: Comment by Schilling	1
A Course in the Large Sample Theory of Statistical Inference,	1
A Simple and Fast Algorithm for Generating Correlation Matrices with a Known Average Correlation Coefficient	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
Causal Inference with Complex Surveys: A Unified Perspective on Sample Selection and Exposure Selection	1
Bivariate Analysis of Distribution Functions Under Biased Sampling	1
Inverse Probability Weighting Estimation in Completely Randomized Experiments	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
An Effective and Small Sample-Size Valid Confidence Interval for Isotonic Dose–Response Curves by Inverting a Partial Likelihood Ratio Test	1
Using Conformal Win Probability to Predict the Winners of the Canceled 2020 NCAA Basketball Tournaments	1
A Study on Estimating the Parameter of the Truncated Geometric Distribution	1
Athlete Recruitment and the Myth of the Sophomore Peak	1
The “Poisson” Distribution: History, Reenactments, Adaptations	1
Closed-Form Power and Sample Size Calculations for Bayes Factors	1
Thick Data Analytics (TDA): An Iterative and Inductive Framework for Algorithmic Improvement	1
On the Term “Randomization Test”	1
Statistical Challenges in Online Controlled Experiments: A Review of A/B Testing Methodology	1
Missing Data Imputation with High-Dimensional Data	1
Graph Sampling	1
Here Comes the STRAIN: Analyzing Defensive Pass Rush in American Football with Player Tracking Data	1