American Statistician

Article	Citations
A Note on Monte Carlo Integration in High Dimensions	91
Lessons from a Discussion-Based Course on the History of Statistics	54
LASSO-based Survival Prediction Modelling with Multiply Imputed Data: A Case Study in Tuberculosis Mortality Prediction	44
Optimal and Fast Confidence Intervals for Hypergeometric Successes	27
On Devon Allen’s Disqualification at the 2022 World Track and Field Championships	25
Technical Validation of Plot Designs by Use of Deep Learning	21
Pseudo-Ranks: The Better Way of Ranking?	16
Data Privacy Protection and Utility Preservation through Bayesian Data Synthesis: A Case Study on Airbnb Listings	15
An Example to Illustrate Randomized Trial Estimands and Estimators	14
Statistical Inference for Method of Moments Estimators of a Semi-Supervised Two-Component Mixture Model	13
Integrative Data Analysis Where Partial Covariates Have Complex Nonlinear Effects by Using Summary Information from an External Data	12
A Look into the Problem of Preferential Sampling through the Lens of Survey Statistics	10
A Survey of Bias in Machine Learning Through the Prism of Statistical Parity	10
The Cauchy Combination Test under Arbitrary Dependence Structures	10
Demystifying Statistical Learning Based on Efficient Influence Functions	9
Bayesian Testing of Linear Versus Nonlinear Effects Using Gaussian Process Priors	9
Myths About Linear and Monotonic Associations: Pearson’s r, Spearman’s ρ, and Kendall’s τ	8
Analytics, Have Some Humility: A Statistical View of Fourth-Down Decision Making	8
Out-of-Sample R 2 : Estimation and Inference	7
Multiple-Model-based Robust Estimation of Causal Treatment Effect on a Binary Outcome with Integrated Information from Secondary Outcomes	7
Estimation of Contact Time Among Animals from Telemetry Data	7
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	6
Semi-Structured Distributional Regression	6

Beyond Multiple Linear Regression: Applied Generalized Linear Models and Multilevel Models in R	6
A Class of Regression Association Measures based on Concordance	6
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
The Best Time to Play the Lottery	5
Spatial Sampling with R	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
Alpha Seminar: A Course for New Graduate Students in Statistics	5
A First Course in Causal Inference.	5
Confidence Distributions for the Autoregressive Parameter	5
Comparative Probability Metrics: Using Posterior Probabilities to Account for Practical Equivalence in A/B tests	5
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
Data Science in Practice	4
RafterNet: Probabilistic Predictions in Multi-Response Regression	4
Modern Data Visualization with R	4
On Arbitrarily Underdispersed Discrete Distributions	4
The Storyboard: A Tool to Synthesize, Reflect On, and Write About Data Investigations	4
Statistics for Making Decisions,	3
Explainable Linear and Generalized Linear Models by the Predictions Plot	3
Assessment and Continuous Improvement of an Undergraduate Data Science Program	3
Towards explainable data and sports analytics: A case study on pass completion prediction in American Football	3
A Case for Nonparametrics	3
Assignment-Control Plots: A Visual Companion for Causal Inference Study Design	3
Cross-Validatory Z-Residual for Diagnosing Shared Frailty Models	3
Evaluating Real-Time Probabilistic Forecasts With Application to National Basketball Association Outcome Prediction	3
Tightening Blocks in Complementary Analyses of Observational Studies: Optimization Algorithm and Examples	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
The Loser’s Curse and the Critical Role of the Utility Function	3
A Study on the Power Parameter in Power Prior Bayesian Analysis	3
A statistical approach to latent dynamic modeling with differential equations	3
A Response to Rice and Lumley	3
Proximal MCMC for Bayesian Inference of Constrained and Regularized Estimation	3
Revisiting the Name Variant of the Two-Children Problem	3
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
Distribution-Free Location-Scale Regression	2
Probability and Statistical Inference: From Basic Principles to Advanced Models	2
Hierarchical Spatio-Temporal Change-Point Detection	2
Differentially Private Methods for Releasing Results of Stability Analyses	2
Leadership in Statistics and Data Science: Planning for Inclusive Excellence,	2
A Comparative Tutorial of Bayesian Sequential Design and Reinforcement Learning	2
Improved Approximation and Visualization of the Correlation Matrix	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
Bayesian Analysis of Infectious Diseases: COVID-19 and Beyond.	2
Pairwise Independence May Not Imply Independence: New Illustrations and a Generalization	2
Counternull Sets in Randomized Experiments	2
Object Oriented Data Analysis	2

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.	2
A Review of Design of Experiments Courses Offered to Undergraduate Students at American Universities	2
Textual Data Science with R	2
The R2D2 Prior for Generalized Linear Mixed Models	2
A Characterization of Most(More) Powerful Test Statistics with Simple Nonparametric Applications	2
Coherent Tests for Interval Null Hypotheses	2
Nonparametric Statistical Methods Using R, 2nd ed.	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
Statistical Implications of Endogeneity Induced by Residential Segregation in Small-Area Modeling of Health Inequities	2
Forecasting Future Eruptions using Hierarchical Trend Renewal Processes	1
Statistical Challenges in Online Controlled Experiments: A Review of A/B Testing Methodology	1
Bayesian-Frequentist Hybrid Inference in Applications with Small Sample Sizes	1
American Football Scores: Using Partially Regularized Ordinal Regression to Adjust for Strength of Opponents, Within-Team Complementary Unit Performance	1
On the Power of the F-test for Hypotheses in a Linear Model	1
Using Conformal Win Probability to Predict the Winners of the Canceled 2020 NCAA Basketball Tournaments	1
Causal Inference with Complex Surveys: A Unified Perspective on Sample Selection and Exposure Selection	1
Missing Data Imputation with High-Dimensional Data	1
On Point Estimators for Gamma and Beta Distributions	1
Athlete Recruitment and the Myth of the Sophomore Peak	1
Here Comes the STRAIN: Analyzing Defensive Pass Rush in American Football with Player Tracking Data	1
Statistics in Medicine	1
Bivariate Analysis of Distribution Functions Under Biased Sampling	1
A Connection Between Baseball and Clinical Trials Found in “Slugging Percentage is Not a Percentage—And Why That Matters”	1
The Current State of Undergraduate Bayesian Education and Recommendations for the Future	1
Inverse Probability Weighting Estimation in Completely Randomized Experiments	1
Play Call Strategies and Modeling for Target Outcomes in Football	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
COVID-19 Pandemic as a Change Agent in the Structure and Practice of Statistical Consulting Centers	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
An Effective and Small Sample-Size Valid Confidence Interval for Isotonic Dose–Response Curves by Inverting a Partial Likelihood Ratio Test	1
On the Term “Randomization Test”	1
A Review of Adversarial Attack and Defense for Classification Methods	1
The “Poisson” Distribution: History, Reenactments, Adaptations	1
Closed-Form Power and Sample Size Calculations for Bayes Factors	1
A Study on Estimating the Parameter of the Truncated Geometric Distribution	1
Causal Quartets: Different Ways to Attain the Same Average Treatment Effect	1
Graph Sampling	1
Using Differentiable Programming for Flexible Statistical Modeling	1
The Wald Confidence Interval for a Binomial p as an Illuminating “Bad” Example	1
Bayesian Inference and the Principle of Maximum Entropy	1
Estimating the Performance of Entity Resolution Algorithms: Lessons Learned Through PatentsView.org	0
The State of Play of Reproducibility in Statistics: An Empirical Analysis	0
Learn R: As a Language, 2nd ed.	0
Global Simulation Envelopes for Diagnostic Plots in Regression Models	0
Analyzing Matched 2 × 2 Tables from all Corners	0
High-Dimensional Propensity Score and Its Machine Learning Extensions in Residual Confounding Control	0
Thick Data Analytics (TDA): An Iterative and Inductive Framework for Algorithmic Improvement	0
A New General Class of Discrete Bivariate Distributions Constructed by the Usual Stochastic Order	0
Multivariate disaggregation modeling of air pollutants: a case-study of PM2.5, PM10 and ozone prediction in Portugal and Italy	0
The Application of the Likelihood Ratio Test and the Cochran-Mantel-Haenszel Test to Discrimination Cases	0
Selection Criterion of Working Correlation Structure for Spatially Correlated Data	0
Much Ado About Survey Tables: A Comparison of Chi-Square Tests and Software to Analyze Categorical Survey Data	0
Play-by-Play Volleyball Win Probability Model	0
A New Transformation of Treated-Control Matched-Pair Differences for Graphical Display	0
Laplace’s Law of Succession Estimator and M-Statistics	0
A Comparison of Bayesian Multivariate Versus Univariate Normal Regression Models for Prediction	0
Comment on “On Optimal Correlation-Based Prediction,” by Bottai et al. (2022)	0
Binomial Confidence Intervals for Rare Events: Importance of Defining Margin of Error Relative to Magnitude of Proportion	0
Hitting a Prime by Rolling a Die with Infinitely Many Faces	0
Consultancy Style Dissertations in Statistics and Data Science: Why and How	0
An Introduction to R and Python for Data Analysis: A Side-by-Side Approach.An Introduction to R and Python for Data Analysis: A Side-by-Side Approach. Taylor R. Brown. Boca Raton, FL: Chapman & Ha	0
Introduction to Statistical Modelling and Inference	0
Expressing Regret: A Unified View of Credible Intervals	0
Analytical Problem Solving Based on Causal, Correlational and Deductive Models	0
Flexible Distributed Lag Models for Count Data Using mgcv	0
Comment on “On the Power of the F-test for Hypotheses in a Linear Model,” by Griffiths and Hill (2022)	0
Melded Confidence Intervals Do Not Provide Guaranteed Coverage	0
Statistical Theory: A Concise Introduction, 2nd ed.	0
Sequential Monitoring Using the Second Generation P-Value with Type I Error Controlled by Monitoring Frequency	0
Interactive Exploration of Large Dendrograms with Prototypes	0
Boldness-Recalibration for Binary Event Predictions	0
On Optimal Correlation-Based Prediction	0
Learning to Forecast: The Probabilistic Time Series Forecasting Challenge	0
Inference in Experiments Conditional on Observed Imbalances in Covariates	0
Counting the Unseen: Estimation of Susceptibility Proportions in Zero-Inflated Models Using a Conditional Likelihood Approach	0
Letter to the Editor: Zhang, J. (2021), “The Mean Relative Entropy: An Invariant Measure of Estimation Error,” The American Statistician, 75, 117–123: comment by Vos and Wu	0
Using Exact Tests from Algebraic Statistics in Sparse Multi-Way Analyses: An Application to Analyzing Differential Item Functioning	0

Re-exploring the Penney-Ante Game	0
Statistical Issues in Drug Development, 3rd ed.	0
Applied Machine Learning Using mlr3 in R	0
An Undergraduate Course on the Statistical Principles of Research Study Design	0
Response to Comment by Schilling	0
Correction: Linearity of Unbiased Linear Model Estimators	0
Distance Covariance, Independence, and Pairwise Differences	0
Covariance Matrix Estimation for High-Throughput Biomedical Data with Interconnected Communities	0
Do Dice Play God? The Mathematics of Uncertainty, by Ian Stewart	0
On Generating Distributions with the Memoryless Property	0
Bayesian Log-Rank Test	0
On Misuses of the Kolmogorov–Smirnov Test for One-Sample Goodness-of-Fit	0
Moments of the Nonnegative Adjusted Estimator of Squared Multiple Correlation	0
Probability, Statistics, and Data: A Fresh Approach Using R	0
Bayesian Detection of Bias in Peremptory Challenges Using Historical Strike Data	0
How Do We Perform a Paired t-Test When We Don’t Know How to Pair?	0
The Impact of Application of the Jackknife to the Sample Median	0
Multiple Imputation Inference with Integer-Valued Point Estimates	0
Data Monitoring Committees in Clinical Trials: A Practical Perspective	0
Handbook of Multiple Comparisons	0
Sparse-Group Boosting: Unbiased Group and Variable Selection	0
Quantifying the Inspection Paradox with Random Time	0
Bayes Factors and Posterior Estimation: Two Sides of the Very Same Coin	0
High Dimensional Space Oddity	0
The Phantom Pattern Problem: The Mirage of Big Data,	0
The Probability Mass Function of the Kaplan–Meier Product–Limit Estimator	0
Statistical Guidance to Authors at Top-Ranked Journals across Scientific Disciplines	0
Building Regression Models with SAS ® : A Guide for Data Scientists	0
Fitting Log-Gaussian Cox Processes Using Generalized Additive Model Software	0
Spatial Confounding in Generalized Estimating Equations	0
Event History Analysis with R, 2nd ed.	0
MOVER-R and Penalized MOVER-R Confidence Intervals for the Ratio of Two Quantities	0
One-Step Weighting to Generalize and Transport Treatment Effect Estimates to a Target Population	0
Telling Stories with Data: With Applications in R	0
A Multiple Imputation Approach for the Cumulative Incidence, with Implications for Variance Estimation	0
A Fisher’s exact test justification of the TF–IDF term-weighting scheme	0
Sensitivity Analyses of Clinical Trial Designs: Selecting Scenarios and Summarizing Operating Characteristics	0
When Heavy Tails Disrupt Statistical Inference	0
Publication Policies for Replicable Research and the Community-Wide False Discovery Rate	0
Mixture of Networks for Clustering Categorical Data: A Penalized Composite Likelihood Approach	0
Comment on “Forbidden Knowledge and Specialized Training: A Versatile Solution for the Two Main Sources of Overfitting in Linear Regression,” by Rohlfs (2023)	0
The Case-Control Approach Can be More Powerful for Matched Pair Observational Studies When the Outcome is Rare	0
A Practical Approach to Proper Inference with Linked Data	0
Analyzing Spatial Point Patterns in Digital Pathology: Immune Cells in High-Grade Serous Ovarian Carcinomas	0
Bayesian model checking by betting: A game-theoretic alternative to Bayesian p -values and classical Bayes factors	0
“Two Truths and a Lie” as a Class-Participation Activity	0
A Pareto Tail Plot Without Moment Restrictions	0
Comment on “On Optimal Correlation-Based Prediction”, By Bottai et al. (2022)	0
Response to Letter to the Editor: Zhang, J. (2021)	0
The Phistogram	0
The Sign Test, Paired Data, and Asymmetric Dependence: A Cautionary Tale	0
Additive Hazards Regression Analysis of Massive Interval-Censored Data via Data Splitting	0
Zero-Truncated Modelling in a Meta-Analysis on Suicide Data after Bariatric Surgery	0
Connections between Statistics and Mathematics/Probability	0
Hidden Markov Models for Low-Frequency Earthquake Recurrence	0
A Cornucopia of Maximum Likelihood Algorithms	0
Understanding the Implications of a Complete Case Analysis for Regression Models with a Right-Censored Covariate	0
Quantitative Drug Safety and Benefit-Risk Evaluation: Practical and Cross-Disciplinary Approaches	0
From Black Box to Shining Spotlight: Using Random Forest Prediction Intervals to Illuminate the Impact of Assumptions in Linear Regression	0
Parole Board Decision-Making using Adversarial Risk Analysis	0
Performance Analysis of NSUM Estimators in Social-Network Topologies	0
Comment on “On the Power of the F-test for Hypotheses in a Linear Model” by Griffiths and Hill (2022)	0
An Efficient Computation Strategy for Generalized Single-Index Models and Their Variants by Integrating With GAM	0
Bias Analysis for Misclassification Errors in both the Response Variable and Covariate	0
Estimation of a Generalized Treatment Effect in a Control Group Versus Treatment Group Design	0
Enhanced Inference for Finite Population Sampling-Based Prevalence Estimation with Misclassification Errors	0
Likelihood-Free Parameter Estimation with Neural Bayes Estimators	0
Black Box Variational Bayesian Model Averaging	0
Exploratory Data Analysis with MATLAB, 3rd ed., by Wendy L. Martinez, Angel R. Martinez, and Jeffrey L. Solka	0
Using the Lambert Function to Estimate Shared Frailty Models with a Normally Distributed Random Intercept	0
A First Course in Linear Model Theory, 2nd ed.Nalini Ravishanker, Zhiyi Chi, and Dipak K. Dey, Boca Raton, FL: Chapman & Hall/CRC Press, 2022, xvi + 513 pp., $110.00(H), ISBN: 978-1-439-85805-9.	0
A Multi-Method Data Science Pipeline for Analyzing Police Service	0
Tractable Bayesian Inference For An Unidentified Simple Linear Regression Model	0
Incorporating Minimum Variances into Weighted Optimality Criteria	0
Sequential Selection for Minimizing the Variance with Application to Crystallization Experiments	0
Comparing Three Groups	0
Handling Missingness, Failures, and Non-Convergence in Simulation Studies: A Review of Current Practices and Recommendations	0
The American Statistician 2023 Associate Editors	0
Applied Linear Regression for Longitudinal Data: With an Emphasis on Missing Observations Applied Linear Regression for Longitudinal Data: With an Emphasis on Missing Observations	0
Mapping Life Expectancy Loss in Barcelona in 2020	0
Introducing Variational Inference in Statistics and Data Science Curriculum	0
Comment on “A Case for Nonparametrics” by Bower et al.	0