American Statistician

Article	Citations
Lessons from a Discussion-Based Course on the History of Statistics	98
A Note on Monte Carlo Integration in High Dimensions	57
LASSO-Based Survival Prediction Modeling with Multiply Imputed Data: A Case Study in Tuberculosis Mortality Prediction	47
Optimal and Fast Confidence Intervals for Hypergeometric Successes	27
Technical Validation of Plot Designs by Use of Deep Learning	23
On Devon Allen’s Disqualification at the 2022 World Track and Field Championships	16
An Example to Illustrate Randomized Trial Estimands and Estimators	15
Pseudo-Ranks: The Better Way of Ranking?	14
Data Privacy Protection and Utility Preservation through Bayesian Data Synthesis: A Case Study on Airbnb Listings	13
Statistical Inference for Method of Moments Estimators of a Semi-Supervised Two-Component Mixture Model	12
The Cauchy Combination Test under Arbitrary Dependence Structures	10
Integrative Data Analysis Where Partial Covariates Have Complex Nonlinear Effects by Using Summary Information from an External Data	10
Bayesian Testing of Linear Versus Nonlinear Effects Using Gaussian Process Priors	10
A Look into the Problem of Preferential Sampling through the Lens of Survey Statistics	9
Demystifying Statistical Learning Based on Efficient Influence Functions	9
Analytics, Have Some Humility: A Statistical View of Fourth-Down Decision Making	9
Myths About Linear and Monotonic Associations: Pearson’s r, Spearman’s ρ, and Kendall’s τ	8
Out-of-Sample R 2 : Estimation and Inference	7
Estimation of Contact Time Among Animals from Telemetry Data	7
A Class of Regression Association Measures based on Concordance	7
Hitting a Prime in 2.43 Dice Rolls (On Average)	7
Semi-Structured Distributional Regression	7
Estimating Knee Movement Patterns of Recreational Runners Across Training Sessions Using Multilevel Functional Regression Models	7
Multiple-Model-based Robust Estimation of Causal Treatment Effect on a Binary Outcome with Integrated Information from Secondary Outcomes	7
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
Beyond Multiple Linear Regression: Applied Generalized Linear Models and Multilevel Models in R	6
The Best Time to Play the Lottery	5
The Storyboard: A Tool to Synthesize, Reflect On, and Write About Data Investigations	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
Evidential Calibration of Confidence Intervals	5
Spatial Sampling with R	5
A First Course in Causal Inference.	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
A Statistical Basis for Reporting Strength of Evidence as Pool Reduction	5
Integrating Ethics into the Guidelines for Assessment and Instruction in Statistics Education (GAISE)	4
Assessment and Continuous Improvement of an Undergraduate Data Science Program	4
Foundations of Data Science with Python	4
Prioritizing Variables for Observational Study Design using the Joint Variable Importance Plot	4
A Study on the Power Parameter in Power Prior Bayesian Analysis	4
On Arbitrarily Underdispersed Discrete Distributions	4
Modern Data Visualization with R	4
RafterNet: Probabilistic Predictions in Multi-Response Regression	4
Tightening Blocks in Complementary Analyses of Observational Studies: Optimization Algorithm and Examples	3
Assignment-Control Plots: A Visual Companion for Causal Inference Study Design	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
Revisiting the Name Variant of the Two-Children Problem	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
A Case for Nonparametrics	3
A Comparative Tutorial of Bayesian Sequential Design and Reinforcement Learning	3
Explainable Linear and Generalized Linear Models by the Predictions Plot	3
Cross-Validatory Z-Residual for Diagnosing Shared Frailty Models	3
Statistics for Making Decisions,	3
Proximal MCMC for Bayesian Inference of Constrained and Regularized Estimation	3
A Review of Design of Experiments Courses Offered to Undergraduate Students at American Universities	3
Towards explainable data and sports analytics: A case study on pass completion prediction in American Football	3
Evaluating Real-Time Probabilistic Forecasts With Application to National Basketball Association Outcome Prediction	3
Selecting the Best Compositions of a Wheelchair Basketball Team: A Data-Driven Approach	2
Differentially Private Methods for Releasing Results of Stability Analyses	2
Leadership in Statistics and Data Science: Planning for Inclusive Excellence,	2
Textual Data Science with R	2
Nonparametric Statistical Methods Using R, 2nd ed.	2
Distribution-Free Location-Scale Regression	2
Probability and Statistical Inference: From Basic Principles to Advanced Models	2
Forbidden Knowledge and Specialized Training: A Versatile Solution for the Two Main Sources of Overfitting in Linear Regression	2
Counternull Sets in Randomized Experiments	2
Object Oriented Data Analysis	2
Statistical Implications of Endogeneity Induced by Residential Segregation in Small-Area Modeling of Health Inequities	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
Pairwise Independence May Not Imply Independence: New Illustrations and a Generalization	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
Coherent Tests for Interval Null Hypotheses	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
Improved Approximation and Visualization of the Correlation Matrix	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
Linearity of Unbiased Linear Model Estimators	2
Bayesian Inference and the Principle of Maximum Entropy	2
A Characterization of Most(More) Powerful Test Statistics with Simple Nonparametric Applications	2
Hierarchical Spatio-Temporal Change-Point Detection	2
Thick Data Analytics (TDA): An Iterative and Inductive Framework for Algorithmic Improvement	1
Play Call Strategies and Modeling for Target Outcomes in Football	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
Causal Quartets: Different Ways to Attain the Same Average Treatment Effect	1
Bartroff, J., Lorden, G. and Wang, L. (2022), “Optimal and Fast Confidence Intervals for Hypergeometric Successes,” The American Statistician: Comment by Schilling	1
Here Comes the STRAIN: Analyzing Defensive Pass Rush in American Football with Player Tracking 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
COVID-19 Pandemic as a Change Agent in the Structure and Practice of Statistical Consulting Centers	1
A Study on Estimating the Parameter of the Truncated Geometric Distribution	1
An Effective and Small Sample-Size Valid Confidence Interval for Isotonic Dose–Response Curves by Inverting a Partial Likelihood Ratio Test	1
The Current State of Undergraduate Bayesian Education and Recommendations for the Future	1
Graph Sampling	1
Bayesian-Frequentist Hybrid Inference in Applications with Small Sample Sizes	1
Comment on “On Optimal Correlation-Based Prediction”, By Bottai et al. (2022)	1
On the Power of the F-test for Hypotheses in a Linear Model	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
Causal Inference with Complex Surveys: A Unified Perspective on Sample Selection and Exposure Selection	1
Athlete Recruitment and the Myth of the Sophomore Peak	1
The R2D2 Prior for Generalized Linear Mixed Models	1
Closed-Form Power and Sample Size Calculations for Bayes Factors	1
Statistical Challenges in Online Controlled Experiments: A Review of A/B Testing Methodology	1
Inverse Probability Weighting Estimation in Completely Randomized Experiments	1
Bivariate Analysis of Distribution Functions Under Biased Sampling	1
American Football Scores: Using Partially Regularized Ordinal Regression to Adjust for Strength of Opponents, Within-Team Complementary Unit Performance	1
A Connection Between Baseball and Clinical Trials Found in “Slugging Percentage is Not a Percentage—And Why That Matters”	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
Using Differentiable Programming for Flexible Statistical Modeling	1
The Wald Confidence Interval for a Binomial p as an Illuminating “Bad” Example	1
On Point Estimators for Gamma and Beta Distributions	1
Forecasting Future Eruptions using Hierarchical Trend Renewal Processes	1
Statistics in Medicine	1
When Heavy Tails Disrupt Statistical Inference	0
Zero-Truncated Modelling in a Meta-Analysis on Suicide Data after Bariatric Surgery	0
Distance Covariance, Independence, and Pairwise Differences	0
Introduction to Statistical Modelling and Inference	0
Exploratory Data Analysis with MATLAB, 3rd ed., by Wendy L. Martinez, Angel R. Martinez, and Jeffrey L. Solka	0
A New General Class of Discrete Bivariate Distributions Constructed by the Usual Stochastic Order	0
A Cornucopia of Maximum Likelihood Algorithms	0
The Probability Mass Function of the Kaplan–Meier Product–Limit Estimator	0
The Phantom Pattern Problem: The Mirage of Big Data,	0
Understanding the Implications of a Complete Case Analysis for Regression Models with a Right-Censored Covariate	0
From Black Box to Shining Spotlight: Using Random Forest Prediction Intervals to Illuminate the Impact of Assumptions in Linear Regression	0
Multivariate disaggregation modeling of air pollutants: a case-study of PM2.5, PM10 and ozone prediction in Portugal and Italy	0
Selection Criterion of Working Correlation Structure for Spatially Correlated Data	0
Consultancy Style Dissertations in Statistics and Data Science: Why and How	0
Multiple Imputation Inference with Integer-Valued Point Estimates	0
Data Monitoring Committees in Clinical Trials: A Practical Perspective	0
One-Step Weighting to Generalize and Transport Treatment Effect Estimates to a Target Population	0
The Impact of Application of the Jackknife to the Sample Median	0
Bayes Factors and Posterior Estimation: Two Sides of the Very Same Coin	0
Mapping Life Expectancy Loss in Barcelona in 2020	0
Quantitative Drug Safety and Benefit-Risk Evaluation: Practical and Cross-Disciplinary Approaches	0
Statistical Guidance to Authors at Top-Ranked Journals across Scientific Disciplines	0
The American Statistician 2023 Associate Editors	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
A Multiple Imputation Approach for the Cumulative Incidence, with Implications for Variance Estimation	0
Introducing Variational Inference in Statistics and Data Science Curriculum	0
Do Dice Play God? The Mathematics of Uncertainty, by Ian Stewart	0
Handling Missingness, Failures, and Non-Convergence in Simulation Studies: A Review of Current Practices and Recommendations	0
The State of Play of Reproducibility in Statistics: An Empirical Analysis	0
Event History Analysis with R, 2nd ed.	0
Black Box Variational Bayesian Model Averaging	0
Statistical Theory: A Concise Introduction, 2nd ed.	0
Correction: Linearity of Unbiased Linear Model Estimators	0
Telling Stories with Data: With Applications in R	0
Estimating the Performance of Entity Resolution Algorithms: Lessons Learned Through PatentsView.org	0
Boldness-Recalibration for Binary Event Predictions	0

Comment on “A Case for Nonparametrics” by Bower et al.	0
Bayesian Model Checking by Betting: A Game-Theoretic Alternative to Bayesian p -values and Classical Bayes Factors	0
Bias Analysis for Misclassification Errors in both the Response Variable and Covariate	0
Probability, Statistics, and Data: A Fresh Approach Using R	0
Analyzing Spatial Point Patterns in Digital Pathology: Immune Cells in High-Grade Serous Ovarian Carcinomas	0
On Misuses of the Kolmogorov–Smirnov Test for One-Sample Goodness-of-Fit	0
Comment on “On the Power of the F-test for Hypotheses in a Linear Model,” by Griffiths and Hill (2022)	0
The Application of the Likelihood Ratio Test and the Cochran-Mantel-Haenszel Test to Discrimination Cases	0
Estimation of a Generalized Treatment Effect in a Control Group Versus Treatment Group Design	0
Global Simulation Envelopes for Diagnostic Plots in Regression Models	0
Learning to Forecast: The Probabilistic Time Series Forecasting Challenge	0
ON CONSISTENT IMPUTATION OF MISSING PREDICTORS IN LINEAR REGRESSION MODELS	0
Performance Analysis of NSUM Estimators in Social-Network Topologies	0
Bayesian Log-Rank Test	0
A Comparison of Bayesian Multivariate Versus Univariate Normal Regression Models for Prediction	0
Quantifying the Inspection Paradox with Random Time	0
Bayesian Detection of Bias in Peremptory Challenges Using Historical Strike Data	0
High Dimensional Space Oddity	0
Hidden Markov Models for Low-Frequency Earthquake Recurrence	0
Connections between Statistics and Mathematics/Probability	0
Parole Board Decision-Making using Adversarial Risk Analysis	0
How Do We Perform a Paired t-Test When We Don’t Know How to Pair?	0
Comment on “On the Power of the F-test for Hypotheses in a Linear Model” by Griffiths and Hill (2022)	0
Expressing Regret: A Unified View of Credible Intervals	0
Sequential Monitoring Using the Second Generation P-Value with Type I Error Controlled by Monitoring Frequency	0
Comment on “On Optimal Correlation-Based Prediction,” by Bottai et al. (2022)	0
Moments of the Nonnegative Adjusted Estimator of Squared Multiple Correlation	0
Using Exact Tests from Algebraic Statistics in Sparse Multi-Way Analyses: An Application to Analyzing Differential Item Functioning	0
Enhanced Inference for Finite Population Sampling-Based Prevalence Estimation with Misclassification Errors	0
On Optimal Correlation-Based Prediction	0
Spatial Confounding in Generalized Estimating Equations	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
Flexible Distributed Lag Models for Count Data Using mgcv	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
The Effects of Major League Baseball’s Ban on Infield Shifts: A Quasi-Experimental Analysis	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
Statistical Issues in Drug Development, 3rd ed.	0
MOVER-R and Penalized MOVER-R Confidence Intervals for the Ratio of Two Quantities	0
High-Dimensional Propensity Score and Its Machine Learning Extensions in Residual Confounding Control	0
Sequential Selection for Minimizing the Variance with Application to Crystallization Experiments	0
Response to Comment by Schilling	0
Comparing Three Groups	0
Applications of Regression for Categorical Outcomes Using R.	0
Building Regression Models with SAS ® : A Guide for Data Scientists	0
Learn R: As a Language, 2nd ed.	0
Applied Machine Learning Using mlr3 in R	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
Analytical Problem Solving Based on Causal, Correlational and Deductive Models	0
Tractable Bayesian Inference For An Unidentified Simple Linear Regression Model	0
The Sign Test, Paired Data, and Asymmetric Dependence: A Cautionary Tale	0
Analyzing Matched 2 × 2 Tables from all Corners	0
Response to Letter to the Editor: Zhang, J. (2021)	0
An Efficient Computation Strategy for Generalized Single-Index Models and Their Variants by Integrating With GAM	0
The Phistogram	0
Additive Hazards Regression Analysis of Massive Interval-Censored Data via Data Splitting	0
Handbook of Multiple Comparisons	0
A New Transformation of Treated-Control Matched-Pair Differences for Graphical Display	0
Laplace’s Law of Succession Estimator and M-Statistics	0
“Two Truths and a Lie” as a Class-Participation Activity	0
Binomial Confidence Intervals for Rare Events: Importance of Defining Margin of Error Relative to Magnitude of Proportion	0
Play-by-Play Volleyball Win Probability Model	0
Hitting a Prime by Rolling a Die with Infinitely Many Faces	0
Covariance Matrix Estimation for High-Throughput Biomedical Data with Interconnected Communities	0
Sparse-Group Boosting: Unbiased Group and Variable Selection	0
Publication Policies for Replicable Research and the Community-Wide False Discovery Rate	0
Sensitivity Analyses of Clinical Trial Designs: Selecting Scenarios and Summarizing Operating Characteristics	0
An Undergraduate Course on the Statistical Principles of Research Study Design	0
Likelihood-Free Parameter Estimation with Neural Bayes Estimators	0
On Generating Distributions with the Memoryless Property	0
Fitting Log-Gaussian Cox Processes Using Generalized Additive Model Software	0
A Fisher’s exact test justification of the TF–IDF term-weighting scheme	0
Effective sample size for the Kaplan-Meier estimator: A valuable measure of uncertainty?	0
Melded Confidence Intervals Do Not Provide Guaranteed Coverage	0
Mixture of Networks for Clustering Categorical Data: A Penalized Composite Likelihood Approach	0
Using the Lambert Function to Estimate Shared Frailty Models with a Normally Distributed Random Intercept	0
A Practical Approach to Proper Inference with Linked Data	0
Interactive Exploration of Large Dendrograms with Prototypes	0
The Case-Control Approach Can be More Powerful for Matched Pair Observational Studies When the Outcome is Rare	0
A Multi-Method Data Science Pipeline for Analyzing Police Service	0
Inference in Experiments Conditional on Observed Imbalances in Covariates	0
Much Ado About Survey Tables: A Comparison of Chi-Square Tests and Software to Analyze Categorical Survey Data	0
Counting the Unseen: Estimation of Susceptibility Proportions in Zero-Inflated Models Using a Conditional Likelihood Approach	0
A Pareto Tail Plot Without Moment Restrictions	0