American Statistician

Article	Citations
Myths About Linear and Monotonic Associations: Pearson’s r, Spearman’s ρ, and Kendall’s τ	48
A Review of Adversarial Attack and Defense for Classification Methods	30
A Review of Bayesian Perspectives on Sample Size Derivation for Confirmatory Trials	29
Demystifying Statistical Learning Based on Efficient Influence Functions	17
On Deconfounding Spatial Confounding in Linear Models	16
A Survey of Bias in Machine Learning Through the Prism of Statistical Parity	15
Learning Hamiltonian Monte Carlo in R	13
Analytical Problem Solving Based on Causal, Correlational and Deductive Models	13
The Cauchy Combination Test under Arbitrary Dependence Structures	10
Statistical Challenges in Agent-Based Modeling	10
A Proposal for Informative Default Priors Scaled by the Standard Error of Estimates	8
Variable Selection With Second-Generation P-Values	7
Likelihood-Free Parameter Estimation with Neural Bayes Estimators	7
Comparing Three Groups	7
A Practical Approach to Proper Inference with Linked Data	6
Statistical Guidance to Authors at Top-Ranked Journals across Scientific Disciplines	6
Hurdle Blockmodels for Sparse Network Modeling	6
Hierarchical Spatio-Temporal Change-Point Detection	6
Statistical Challenges in Online Controlled Experiments: A Review of A/B Testing Methodology	6
Comparing Covariate Prioritization via Matching to Machine Learning Methods for Causal Inference Using Five Empirical Applications	6
Semi-Structured Distributional Regression	5
The Current State of Undergraduate Bayesian Education and Recommendations for the Future	5
Integrating Ethics into the Guidelines for Assessment and Instruction in Statistics Education (GAISE)	5
A Look into the Problem of Preferential Sampling through the Lens of Survey Statistics	5
A Study on the Power Parameter in Power Prior Bayesian Analysis	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
When Your Permutation Test is Doomed to Fail	5
On the Power of the F-test for Hypotheses in a Linear Model	5
Improved Approximation and Visualization of the Correlation Matrix	4
Expressing Regret: A Unified View of Credible Intervals	4
Out-of-Sample R 2 : Estimation and Inference	4
Pairwise Comparisons Using Ranks in the One-Way Model	4
Spatial Confounding in Generalized Estimating Equations	4
Estimating Knee Movement Patterns of Recreational Runners Across Training Sessions Using Multilevel Functional Regression Models	4
On Optimal Correlation-Based Prediction	4
Bayes Factors Based on p-Values and Sets of Priors With Restricted Strength	4
Statistical Implications of Endogeneity Induced by Residential Segregation in Small-Area Modeling of Health Inequities	4
Bayes Factors and Posterior Estimation: Two Sides of the Very Same Coin	4
From Black Box to Shining Spotlight: Using Random Forest Prediction Intervals to Illuminate the Impact of Assumptions in Linear Regression	4
Linearity of Unbiased Linear Model Estimators	3
A Statistical Basis for Reporting Strength of Evidence as Pool Reduction	3
A Case for Nonparametrics	3
Comment on “On Optimal Correlation-Based Prediction”, By Bottai et al. (2022)	3
The State of Play of Reproducibility in Statistics: An Empirical Analysis	3
Comparative Probability Metrics: Using Posterior Probabilities to Account for Practical Equivalence in A/B tests	3
Reconstructing the Kaplan–Meier Estimator as an M-estimator	3
SAS for Mixed Models: Introduction and Basic Applications	3
Distribution-Free Location-Scale Regression	3
Difference Between Binomial Proportions Using Newcombe’s Method With Multiple Imputation for Incomplete Data	3
COVID-19 Pandemic as a Change Agent in the Structure and Practice of Statistical Consulting Centers	3
Comment on “On Optimal Correlation-Based Prediction,” by Bottai et al. (2022)	3
A Comparison of Bayesian Multivariate Versus Univariate Normal Regression Models for Prediction	2
Evidential Calibration of Confidence Intervals	2
Parole Board Decision-Making using Adversarial Risk Analysis	2
Spatio-Temporal Statistics With R.	2
Comment on “Forbidden Knowledge and Specialized Training: A Versatile Solution for the Two Main Sources of Overfitting in Linear Regression,” by Rohlfs (2023)	2
The Model Thinker: What You Need to Know to Make Data Work for You	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
Coherent Tests for Interval Null Hypotheses	2
“Two Truths and a Lie” as a Class-Participation Activity	2
From One Environment to Many: The Problem of Replicability of Statistical Inferences	2
Causal Quartets: Different Ways to Attain the Same Average Treatment Effect	2
Assignment-Control Plots: A Visual Companion for Causal Inference Study Design	2
The Wald Confidence Interval for a Binomial p as an Illuminating “Bad” Example	2
Bayesian-Frequentist Hybrid Inference in Applications with Small Sample Sizes	2
Optimal and Fast Confidence Intervals for Hypergeometric Successes	2
On Arbitrarily Underdispersed Discrete Distributions	2
Bayesian Inference Is Unaffected by Selection: Fact or Fiction?	2
Incorporating Minimum Variances into Weighted Optimality Criteria	2
A Geometric Derivation of the Cantor Distribution	2
Publication Policies for Replicable Research and the Community-Wide False Discovery Rate	2
Using Differentiable Programming for Flexible Statistical Modeling	2
Inference in Experiments Conditional on Observed Imbalances in Covariates	2
Pseudo-Ranks: The Better Way of Ranking?	2

Quantifying the Inspection Paradox with Random Time	2
The “Poisson” Distribution: History, Reenactments, Adaptations	2
Sensitivity Analyses of Clinical Trial Designs: Selecting Scenarios and Summarizing Operating Characteristics	1
The Probability Mass Function of the Kaplan–Meier Product–Limit Estimator	1
Here Comes the STRAIN: Analyzing Defensive Pass Rush in American Football with Player Tracking Data	1
A Note on Monte Carlo Integration in High Dimensions	1
The Case-Control Approach Can be More Powerful for Matched Pair Observational Studies When the Outcome is Rare	1
Hitting a Prime in 2.43 Dice Rolls (On Average)	1
Telling Stories with Data: With Applications in R	1
Statistical Inference for Method of Moments Estimators of a Semi-Supervised Two-Component Mixture Model	1
Binomial Confidence Intervals for Rare Events: Importance of Defining Margin of Error Relative to Magnitude of Proportion	1
Textual Data Science with R	1
A New Transformation of Treated-Control Matched-Pair Differences for Graphical Display	1
A Multi-Method Data Science Pipeline for Analyzing Police Service	1
Prioritizing Variables for Observational Study Design using the Joint Variable Importance Plot	1
One-Step Weighting to Generalize and Transport Treatment Effect Estimates to a Target Population	1
x + y: A Mathematician's Manifesto for Rethinking Gender	1
A Study on Estimating the Parameter of the Truncated Geometric Distribution	1
Estimating the Performance of Entity Resolution Algorithms: Lessons Learned Through PatentsView.org	1
Selection Criterion of Working Correlation Structure for Spatially Correlated Data	1
The R2D2 Prior for Generalized Linear Mixed Models	1
Introducing Variational Inference in Statistics and Data Science Curriculum	1
RafterNet: Probabilistic Predictions in Multi-Response Regression	1
Boldness-Recalibration for Binary Event Predictions	1
Data Privacy Protection and Utility Preservation through Bayesian Data Synthesis: A Case Study on Airbnb Listings	1
How Do We Perform a Paired t-Test When We Don’t Know How to Pair?	1
High-Dimensional Propensity Score and Its Machine Learning Extensions in Residual Confounding Control	1
Forbidden Knowledge and Specialized Training: A Versatile Solution for the Two Main Sources of Overfitting in Linear Regression	1
Black Box Variational Bayesian Model Averaging	1
Statistical Issues in Drug Development, 3rd ed.	1
Data Visualization: Charts, Maps, and Interactive Graphics. Robert Grant.	1
Statistics for Making Decisions,	1
Differentially Private Methods for Releasing Results of Stability Analyses	1
The Sign Test, Paired Data, and Asymmetric Dependence: A Cautionary Tale	1
Counting the Unseen: Estimation of Susceptibility Proportions in Zero-Inflated Models Using a Conditional Likelihood Approach	0
Multiple-Model-based Robust Estimation of Causal Treatment Effect on a Binary Outcome with Integrated Information from Secondary Outcomes	0
Sequential Selection for Minimizing the Variance with Application to Crystallization Experiments	0
Quantitative Drug Safety and Benefit-Risk Evaluation: Practical and Cross-Disciplinary Approaches	0
On Generating Distributions with the Memoryless Property	0
Mixture of Networks for Clustering Categorical Data: A Penalized Composite Likelihood Approach	0
Thick Data Analytics (TDA): An Iterative and Inductive Framework for Algorithmic Improvement	0
Probability and Statistical Inference: From Basic Principles to Advanced Models	0
Object Oriented Data Analysis	0
Bayesian Testing of Linear Versus Nonlinear Effects Using Gaussian Process Priors	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
Integrative Data Analysis Where Partial Covariates Have Complex Nonlinear Effects by Using Summary Information from an External Data	0
Hidden Markov Models for Low-Frequency Earthquake Recurrence	0
On Misuses of the Kolmogorov–Smirnov Test for One-Sample Goodness-of-Fit	0
Melded Confidence Intervals Do Not Provide Guaranteed Coverage	0
On the Term “Randomization Test”	0
Statistical Theory: A Concise Introduction, 2nd ed.	0
Bayesian Detection of Bias in Peremptory Challenges Using Historical Strike Data	0
A Pareto tail plot without moment restrictions	0
Learning to Forecast: The Probabilistic Time Series Forecasting Challenge	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
Analyzing Matched 2 × 2 Tables from all Corners	0
Global Simulation Envelopes for Diagnostic Plots in Regression Models	0
Comment on “A Case for Nonparametrics” by Bower et al.	0
Lessons from a Discussion-Based Course on the History of Statistics	0
Comment on “On the Power of the F-test for Hypotheses in a Linear Model,” by Griffiths and Hill (2022)	0
The Phantom Pattern Problem: The Mirage of Big Data,	0
Introduction to Stochastic Finance with Market Examples, 2nd ed Introduction to Stochastic Finance with Market Examples, 2nd ed . Nicolas Privault, Boca Raton, FL: Chapm	0
Bartroff, J., Lorden, G. and Wang, L. (2022), “Optimal and Fast Confidence Intervals for Hypergeometric Successes,” The American Statistician: Comment by Schilling	0
Cross-validatory Z-Residual for Diagnosing Shared Frailty Models	0
McCann and Habiger (2020), “The Detection of Nonnegligible Directional Effects With Associated Measures of Statistical Significance,”	0
Understanding the Implications of a Complete Case Analysis for Regression Models with a Right-Censored Covariate	0
Tractable Bayesian Inference For An Unidentified Simple Linear Regression Model	0
A Comparative Tutorial of Bayesian Sequential Design and Reinforcement Learning	0
The Impact of Application of the Jackknife to the Sample Median	0
Graph Sampling	0
Hitting a Prime by Rolling a Die with Infinitely Many Faces	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
Bang the Can Slowly: An Investigation into the 2017 Houston Astros	0
Leadership in Statistics and Data Science: Planning for Inclusive Excellence,	0
Estimation of Contact Time Among Animals from Telemetry Data	0
Covariance Matrix Estimation for High-Throughput Biomedical Data with Interconnected Communities	0
Probability, Statistics, and Data: A Fresh Approach Using R	0
Play Call Strategies and Modeling for Target Outcomes in Football	0
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	0
Athlete Recruitment and the Myth of the Sophomore Peak	0

Technical Validation of Plot Designs by Use of Deep Learning	0
Fundamentals of Probability with Stochastic Processes, 4th ed. Saeed Ghahramani.	0
Tightening Blocks in Complementary Analyses of Observational Studies: Optimization Algorithm and Examples	0
Further Examples Related to Correlations Between Variables and Ranks	0
Sequential Monitoring Using the Second Generation P-Value with Type I Error Controlled by Monitoring Frequency	0
Evaluating Real-Time Probabilistic Forecasts With Application to National Basketball Association Outcome Prediction	0
The Impact of Application of the Jackknife to the Sample Median	0
Facilitating Authentic Practice for Early Undergraduate Statistics Students	0
Introduction to Statistical Modelling and Inference	0
Using the Lambert Function to Estimate Shared Frailty Models with a Normally Distributed Random Intercept	0
The Application of the Likelihood Ratio Test and the Cochran-Mantel-Haenszel Test to Discrimination Cases	0
Missing Data Imputation with High-Dimensional Data	0
The American Statistician 2023 Associate Editors	0
Statistics in Medicine	0
The Best Time to Play the Lottery	0
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.	0
A Response to Rice and Lumley	0
Correction: Linearity of Unbiased Linear Model Estimators	0
Performance Analysis of NSUM Estimators in Social-Network Topologies	0
Beyond Multiple Linear Regression: Applied Generalized Linear Models and Multilevel Models in R	0
The Phistogram	0
An effective and small sample-size valid confidence interval for isotonic dose-response curves by inverting a partial likelihood ratio test	0
Response to Letter to the Editor: Zhang, J. (2021)	0
Mapping Life Expectancy Loss in Barcelona in 2020	0
Multiple Imputation Inference with Integer-Valued Point Estimates	0
First-Passage Times for Random Partial Sums: Yadrenko’s Model for e and Beyond	0
A Simple and Fast Algorithm for Generating Correlation Matrices with a Known Average Correlation Coefficient	0
Data Monitoring Committees in Clinical Trials: A Practical Perspective	0
Fitting Log-Gaussian Cox Processes Using Generalized Additive Model Software	0
Bias Analysis for Misclassification Errors in both the Response Variable and Covariate	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
When Heavy Tails Disrupt Statistical Inference	0
Bayesian Analysis of Infectious Diseases: COVID-19 and Beyond.	0
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)	0
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.	0
On Point Estimators for Gamma and Beta Distributions	0
Comment on “On the Power of the F-test for Hypotheses in a Linear Model” by Griffiths and Hill (2022)	0
Confidence Distributions for the Autoregressive Parameter	0
Bayesian Log-Rank Test	0
Bivariate Analysis of Distribution Functions Under Biased Sampling	0
Consultancy Style Dissertations in Statistics and Data Science: Why and How	0
Interactive Exploration of Large Dendrograms with Prototypes	0
A Connection Between Baseball and Clinical Trials Found in “Slugging Percentage is Not a Percentage—And Why That Matters”	0
Additive Hazards Regression Analysis of Massive Interval-Censored Data via Data Splitting	0
Enhanced Inference for Finite Population Sampling-Based Prevalence Estimation with Misclassification Errors	0
Using Conformal Win Probability to Predict the Winners of the Canceled 2020 NCAA Basketball Tournaments	0
Event History Analysis with R, 2nd ed.	0
Sparse-group boosting: Unbiased group and variable selection	0
Using Exact Tests from Algebraic Statistics in Sparse Multi-way Analyses: An Application to Analyzing Differential Item Functioning	0
Applied Directional Statistics: Modern Methods and Case Studies	0
Moments of the Nonnegative Adjusted Estimator of Squared Multiple Correlation	0
MOVER-R and Penalized MOVER-R Confidence Intervals for the Ratio of Two Quantities	0
Re-exploring the Penney-Ante Game	0
Illustrating Randomness in Statistics Courses With Spatial Experiments	0
Alpha Seminar: A Course for New Graduate Students in Statistics	0
Exploratory Data Analysis with MATLAB, 3rd ed., by Wendy L. Martinez, Angel R. Martinez, and Jeffrey L. Solka	0
Inverse Probability Weighting Estimation in Completely Randomized Experiments	0
Selecting the Best Compositions of a Wheelchair Basketball Team: A Data-Driven Approach	0
Response to Comment by Schilling	0
Do Dice Play God? The Mathematics of Uncertainty, by Ian Stewart	0
Distance Covariance, Independence, and Pairwise Differences	0
Proximal MCMC for Bayesian Inference of Constrained and Regularized Estimation	0
Revisiting the Name Variant of the Two-Children Problem	0
Assessment and Continuous Improvement of an Undergraduate Data Science Program	0
Handbook of Multiple Comparisons	0
A Review of Design of Experiments Courses Offered to Undergraduate Students at American Universities	0
Response to the Letter to the Editor on “The Detection of Nonnegligible Directional Effects With Associated Measures of Statistical Significance,” The American Statistician, 74:3, 213–217: Comm	0
A Characterization of Most(More) Powerful Test Statistics with Simple Nonparametric Applications	0