American Statistician

Article	Citations
Lessons from a Discussion-Based Course on the History of Statistics	76
A Note on Monte Carlo Integration in High Dimensions	48
Data Privacy Protection and Utility Preservation through Bayesian Data Synthesis: A Case Study on Airbnb Listings	33
Optimal and Fast Confidence Intervals for Hypergeometric Successes	23
Pseudo-Ranks: The Better Way of Ranking?	21
An Example to Illustrate Randomized Trial Estimands and Estimators	20
Technical Validation of Plot Designs by Use of Deep Learning	14
Bayesian Testing of Linear Versus Nonlinear Effects Using Gaussian Process Priors	14
A Look into the Problem of Preferential Sampling through the Lens of Survey Statistics	12
Analytics, Have Some Humility: A Statistical View of Fourth-Down Decision Making	11
A Survey of Bias in Machine Learning Through the Prism of Statistical Parity	11
Statistical Inference for Method of Moments Estimators of a Semi-Supervised Two-Component Mixture Model	11
Integrative Data Analysis Where Partial Covariates Have Complex Nonlinear Effects by Using Summary Information from an External Data	10
The Cauchy Combination Test under Arbitrary Dependence Structures	10
Demystifying Statistical Learning Based on Efficient Influence Functions	9
Applied Directional Statistics: Modern Methods and Case Studies	8
Myths About Linear and Monotonic Associations: Pearson’s r, Spearman’s ρ, and Kendall’s τ	8
Multiple-Model-based Robust Estimation of Causal Treatment Effect on a Binary Outcome with Integrated Information from Secondary Outcomes	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
Out-of-Sample R 2 : Estimation and Inference	6
Estimation of Contact Time Among Animals from Telemetry Data	6
A Class of Regression Association Measures based on Concordance	6
Confidence Distributions for the Autoregressive Parameter	5
Evidential Calibration of Confidence Intervals	5

Alpha Seminar: A Course for New Graduate Students in Statistics	5
A Statistical Basis for Reporting Strength of Evidence as Pool Reduction	5
Comparative Probability Metrics: Using Posterior Probabilities to Account for Practical Equivalence in A/B tests	5
Beyond Multiple Linear Regression: Applied Generalized Linear Models and Multilevel Models in 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
First-Passage Times for Random Partial Sums: Yadrenko’s Model for e and Beyond	5
Semi-Structured Distributional Regression	5
The Best Time to Play the Lottery	4
Data Science in Practice.	4
On Arbitrarily Underdispersed Discrete Distributions	4
Integrating Ethics into the Guidelines for Assessment and Instruction in Statistics Education (GAISE)	4
Foundations of Data Science with Python	4
Spatial Sampling with R	4
Modern Data Visualization with R	4
Prioritizing Variables for Observational Study Design using the Joint Variable Importance Plot	3
Evaluating Real-Time Probabilistic Forecasts With Application to National Basketball Association Outcome Prediction	3
Statistics for Making Decisions,	3
A Review of Design of Experiments Courses Offered to Undergraduate Students at American Universities	3
RafterNet: Probabilistic Predictions in Multi-Response Regression	3
A Study on the Power Parameter in Power Prior Bayesian Analysis	3
A Case for Nonparametrics	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
Assessment and Continuous Improvement of an Undergraduate Data Science Program	3
A Response to Rice and Lumley	3
Revisiting the Name Variant of the Two-Children Problem	3
Tightening Blocks in Complementary Analyses of Observational Studies: Optimization Algorithm and Examples	3
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 Characterization of Most(More) Powerful Test Statistics with Simple Nonparametric Applications	2
Bayesian Analysis of Infectious Diseases: COVID-19 and Beyond.	2
Forbidden Knowledge and Specialized Training: A Versatile Solution for the Two Main Sources of Overfitting in Linear Regression	2
Hierarchical Spatio-Temporal Change-Point Detection	2
Assignment-Control Plots: A Visual Companion for Causal Inference Study Design	2
Textual Data Science with R	2
Leadership in Statistics and Data Science: Planning for Inclusive Excellence,	2
Differentially Private Methods for Releasing Results of Stability Analyses	2
Counternull Sets in Randomized Experiments	2
The R2D2 Prior for Generalized Linear Mixed Models	2
Coherent Tests for Interval Null Hypotheses	2
Nonparametric Statistical Methods Using R, 2nd ed.	2
Pairwise Independence May Not Imply Independence: New Illustrations and a Generalization	2
A Comparative Tutorial of Bayesian Sequential Design and Reinforcement Learning	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
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
Linearity of Unbiased Linear Model Estimators	2
Selecting the Best Compositions of a Wheelchair Basketball Team: A Data-Driven Approach	2
Probability and Statistical Inference: From Basic Principles to Advanced Models	2
Distribution-Free Location-Scale Regression	2

Proximal MCMC for Bayesian Inference of Constrained and Regularized Estimation	2
Improved Approximation and Visualization of the Correlation Matrix	2
Graph Sampling	1
The “Poisson” Distribution: History, Reenactments, Adaptations	1
Missing Data Imputation with High-Dimensional Data	1
Causal Inference with Complex Surveys: A Unified Perspective on Sample Selection and Exposure Selection	1
Inverse Probability Weighting Estimation in Completely Randomized Experiments	1
Bartroff, J., Lorden, G. and Wang, L. (2022), “Optimal and Fast Confidence Intervals for Hypergeometric Successes,” The American Statistician: Comment by Schilling	1
Statistics in Medicine	1
Hypothesis Testing for Matched Pairs with Missing Data by Maximum Mean Discrepancy: An Application to Continuous Glucose Monitoring	1
Here Comes the STRAIN: Analyzing Defensive Pass Rush in American Football with Player Tracking Data	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
On the Power of the F-test for Hypotheses in a Linear Model	1
Causal Quartets: Different Ways to Attain the Same Average Treatment Effect	1
Statistical Challenges in Online Controlled Experiments: A Review of A/B Testing Methodology	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
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
Using Conformal Win Probability to Predict the Winners of the Canceled 2020 NCAA Basketball Tournaments	1
On Point Estimators for Gamma and Beta Distributions	1
On the Term “Randomization Test”	1
A Review of Adversarial Attack and Defense for Classification Methods	1
A Course in the Large Sample Theory of Statistical Inference,	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
Closed-Form Power and Sample Size Calculations for Bayes Factors	1
Using Differentiable Programming for Flexible Statistical Modeling	1
Reconstructing the Kaplan–Meier Estimator as an M-estimator	1
Play Call Strategies and Modeling for Target Outcomes in Football	1
Athlete Recruitment and the Myth of the Sophomore Peak	1
The Wald Confidence Interval for a Binomial p as an Illuminating “Bad” Example	1
Bayes Factors and Posterior Estimation: Two Sides of the Very Same Coin	0
Black Box Variational Bayesian Model Averaging	0
Play-by-Play Volleyball Win Probability Model	0
Introducing Variational Inference in Statistics and Data Science Curriculum	0
Publication Policies for Replicable Research and the Community-Wide False Discovery Rate	0
The Case-Control Approach Can be More Powerful for Matched Pair Observational Studies When the Outcome is Rare	0
Enhanced Inference for Finite Population Sampling-Based Prevalence Estimation with Misclassification Errors	0
The American Statistician 2023 Associate Editors	0
Response to Comment by Schilling	0
The Impact of Application of the Jackknife to the Sample Median	0
High-Dimensional Propensity Score and Its Machine Learning Extensions in Residual Confounding Control	0
Variable Selection With Second-Generation P-Values	0
Exploratory Data Analysis with MATLAB, 3rd ed., by Wendy L. Martinez, Angel R. Martinez, and Jeffrey L. Solka	0
The Probability Mass Function of the Kaplan–Meier Product–Limit Estimator	0
“Two Truths and a Lie” as a Class-Participation Activity	0
Event History Analysis with R, 2nd ed.	0
The Sign Test, Paired Data, and Asymmetric Dependence: A Cautionary Tale	0
Likelihood-Free Parameter Estimation with Neural Bayes Estimators	0
Consultancy Style Dissertations in Statistics and Data Science: Why and How	0
Interactive Exploration of Large Dendrograms with Prototypes	0
A Pareto Tail Plot Without Moment Restrictions	0
A Multiple Imputation Approach for the Cumulative Incidence, with Implications for Variance Estimation	0
Analytical Problem Solving Based on Causal, Correlational and Deductive Models	0
Quantitative Drug Safety and Benefit-Risk Evaluation: Practical and Cross-Disciplinary Approaches	0
Spatial Confounding in Generalized Estimating Equations	0
An Efficient Computation Strategy for Generalized Single-Index Models and Their Variants by Integrating With GAM	0
Comparing Three Groups	0
Hitting a Prime by Rolling a Die with Infinitely Many Faces	0
Re-exploring the Penney-Ante Game	0
A Proposal for Informative Default Priors Scaled by the Standard Error of Estimates	0
Performance Analysis of NSUM Estimators in Social-Network Topologies	0
Estimation of a Generalized Treatment Effect in a Control Group Versus Treatment Group Design	0
Bayesian Detection of Bias in Peremptory Challenges Using Historical Strike Data	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 Phantom Pattern Problem: The Mirage of Big Data,	0
Sensitivity Analyses of Clinical Trial Designs: Selecting Scenarios and Summarizing Operating Characteristics	0
Additive Hazards Regression Analysis of Massive Interval-Censored Data via Data Splitting	0
Estimating the Performance of Entity Resolution Algorithms: Lessons Learned Through PatentsView.org	0
Analyzing Matched 2 × 2 Tables from all Corners	0
The State of Play of Reproducibility in Statistics: An Empirical Analysis	0
Parole Board Decision-Making using Adversarial Risk Analysis	0
Mapping Life Expectancy Loss in Barcelona in 2020	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 Practical Approach to Proper Inference with Linked Data	0
Response to Letter to the Editor: Zhang, J. (2021)	0
Fitting Log-Gaussian Cox Processes Using Generalized Additive Model Software	0
Correction: Linearity of Unbiased Linear Model Estimators	0
Statistical Guidance to Authors at Top-Ranked Journals across Scientific Disciplines	0

Global Simulation Envelopes for Diagnostic Plots in Regression Models	0
Comment on “On Optimal Correlation-Based Prediction,” by Bottai et al. (2022)	0
From Black Box to Shining Spotlight: Using Random Forest Prediction Intervals to Illuminate the Impact of Assumptions in Linear Regression	0
A New General Class of Discrete Bivariate Distributions Constructed by the Usual Stochastic Order	0
Comment on “A Case for Nonparametrics” by Bower et al.	0
A New Transformation of Treated-Control Matched-Pair Differences for Graphical Display	0
Understanding the Implications of a Complete Case Analysis for Regression Models with a Right-Censored Covariate	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
Probability, Statistics, and Data: A Fresh Approach Using R	0
MOVER-R and Penalized MOVER-R Confidence Intervals for the Ratio of Two Quantities	0
Handbook of Multiple Comparisons	0
Telling Stories with Data: With Applications in R	0
Statistical Theory: A Concise Introduction, 2nd ed.	0
On Deconfounding Spatial Confounding in Linear Models	0
Analyzing Spatial Point Patterns in Digital Pathology: Immune Cells in High-Grade Serous Ovarian Carcinomas	0
Comment on “On the Power of the F-test for Hypotheses in a Linear Model,” by Griffiths and Hill (2022)	0
Tractable Bayesian Inference For An Unidentified Simple Linear Regression Model	0
Bivariate Analysis of Distribution Functions Under Biased Sampling	0
When Heavy Tails Disrupt Statistical Inference	0
Selection Criterion of Working Correlation Structure for Spatially Correlated Data	0
Sequential Monitoring Using the Second Generation P-Value with Type I Error Controlled by Monitoring Frequency	0
Learn R: As a Language, 2nd ed.	0
Incorporating Minimum Variances into Weighted Optimality Criteria	0
Thick Data Analytics (TDA): An Iterative and Inductive Framework for Algorithmic Improvement	0
On Optimal Correlation-Based Prediction	0
Connections between Statistics and Mathematics/Probability	0
Hidden Markov Models for Low-Frequency Earthquake Recurrence	0
Data Monitoring Committees in Clinical Trials: A Practical Perspective	0
Mixture of Networks for Clustering Categorical Data: A Penalized Composite Likelihood Approach	0
Moments of the Nonnegative Adjusted Estimator of Squared Multiple Correlation	0
On Generating Distributions with the Memoryless Property	0
Bias Analysis for Misclassification Errors in both the Response Variable and Covariate	0
Statistical Issues in Drug Development, 3rd ed.	0
Comment on “On the Power of the F-test for Hypotheses in a Linear Model” by Griffiths and Hill (2022)	0
Applied Machine Learning Using mlr3 in R	0
The Application of the Likelihood Ratio Test and the Cochran-Mantel-Haenszel Test to Discrimination Cases	0
Distance Covariance, Independence, and Pairwise Differences	0
Binomial Confidence Intervals for Rare Events: Importance of Defining Margin of Error Relative to Magnitude of Proportion	0
How Do We Perform a Paired t-Test When We Don’t Know How to Pair?	0
Sparse-Group Boosting: Unbiased Group and Variable Selection	0
Introduction to Statistical Modelling and Inference	0
On Misuses of the Kolmogorov–Smirnov Test for One-Sample Goodness-of-Fit	0
Melded Confidence Intervals Do Not Provide Guaranteed Coverage	0
Multiple Imputation Inference with Integer-Valued Point Estimates	0
Expressing Regret: A Unified View of Credible Intervals	0
A Comparison of Bayesian Multivariate Versus Univariate Normal Regression Models for Prediction	0
Inference in Experiments Conditional on Observed Imbalances in Covariates	0
Quantifying the Inspection Paradox with Random Time	0
Boldness-Recalibration for Binary Event Predictions	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
Sequential Selection for Minimizing the Variance with Application to Crystallization Experiments	0
A Multi-Method Data Science Pipeline for Analyzing Police Service	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
Counting the Unseen: Estimation of Susceptibility Proportions in Zero-Inflated Models Using a Conditional Likelihood Approach	0
Using the Lambert Function to Estimate Shared Frailty Models with a Normally Distributed Random Intercept	0
One-Step Weighting to Generalize and Transport Treatment Effect Estimates to a Target Population	0
The Current State of Undergraduate Bayesian Education and Recommendations for the Future	0
Comment on “On Optimal Correlation-Based Prediction”, By Bottai et al. (2022)	0
Bayesian Log-Rank Test	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
Learning to Forecast: The Probabilistic Time Series Forecasting Challenge	0
Laplace’s Law of Succession Estimator and M-Statistics	0
Building Regression Models with SAS ® : A Guide for Data Scientists	0
The Phistogram	0
Using Exact Tests from Algebraic Statistics in Sparse Multi-Way Analyses: An Application to Analyzing Differential Item Functioning	0