American Statistician

Article	Citations
Bayes Factors Based on p-Values and Sets of Priors With Restricted Strength	58
Analyzing Matched 2 × 2 Tables from all Corners	41
Moments of the Nonnegative Adjusted Estimator of Squared Multiple Correlation	30
Forbidden Knowledge and Specialized Training: A Versatile Solution for the Two Main Sources of Overfitting in Linear Regression	24
x + y: A Mathematician's Manifesto for Rethinking Gender	21
Do Dice Play God? The Mathematics of Uncertainty, by Ian Stewart	18
Coherent Tests for Interval Null Hypotheses	16
The Best Time to Play the Lottery	14
Spatial Sampling with R	10
The Phantom Pattern Problem: The Mirage of Big Data,	10
The Phistogram	10
A Note on Monte Carlo Integration in High Dimensions	8
Inverse Probability Weighting Estimation in Completely Randomized Experiments	8
Lessons from a Discussion-Based Course on the History of Statistics	7
The “Poisson” Distribution: History, Reenactments, Adaptations	7
Connections between Statistics and Mathematics/Probability	6
On the Power of the F-test for Hypotheses in a Linear Model	6
On Arbitrarily Underdispersed Discrete Distributions	6
Integrating Ethics into the Guidelines for Assessment and Instruction in Statistics Education (GAISE)	6
A Review of Adversarial Attack and Defense for Classification Methods	5
Missing Data Imputation with High-Dimensional Data	5
A Pareto Tail Plot Without Moment Restrictions	5
Pairwise Independence May Not Imply Independence: New Illustrations and a Generalization	5
Correction: Linearity of Unbiased Linear Model Estimators	5
High-Dimensional Propensity Score and Its Machine Learning Extensions in Residual Confounding Control	5

Hierarchical Spatio-Temporal Change-Point Detection	5
Foundations of Data Science with Python	5
Quantifying the Inspection Paradox with Random Time	4
A Connection Between Baseball and Clinical Trials Found in “Slugging Percentage is Not a Percentage—And Why That Matters”	4
Bayesian Analysis of Infectious Diseases: COVID-19 and Beyond.	4
Sparse-Group Boosting: Unbiased Group and Variable Selection	4
Optimal and Fast Confidence Intervals for Hypergeometric Successes	4
The Probability Mass Function of the Kaplan–Meier Product–Limit Estimator	4
Bang the Can Slowly: An Investigation into the 2017 Houston Astros	4
Quantitative Drug Safety and Benefit-Risk Evaluation: Practical and Cross-Disciplinary Approaches	4
A Study on the Power Parameter in Power Prior Bayesian Analysis	4
Statistical Challenges in Agent-Based Modeling	4
A New Transformation of Treated-Control Matched-Pair Differences for Graphical Display	4
Comment on “On Optimal Correlation-Based Prediction,” by Bottai et al. (2022)	4
Hidden Markov Models for Low-Frequency Earthquake Recurrence	3
SAS for Mixed Models: Introduction and Basic Applications	3
Data Privacy Protection and Utility Preservation through Bayesian Data Synthesis: A Case Study on Airbnb Listings	3
Introduction to Statistical Modelling and Inference	3
Pseudo-Ranks: The Better Way of Ranking?	3
Probability and Statistical Inference: From Basic Principles to Advanced Models	3
Comment on “On the Power of the F-test for Hypotheses in a Linear Model” by Griffiths and Hill (2022)	3
The Sign Test, Paired Data, and Asymmetric Dependence: A Cautionary Tale	3
On the Term “Randomization Test”	3
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	3
Probability, Statistics, and Data: A Fresh Approach Using R	3
Multiple Imputation Inference with Integer-Valued Point Estimates	3
The Impact of Application of the Jackknife to the Sample Median	2
When Your Permutation Test is Doomed to Fail	2
Technical Validation of Plot Designs by Use of Deep Learning	2
Hypothesis Testing for Matched Pairs with Missing Data by Maximum Mean Discrepancy: An Application to Continuous Glucose Monitoring	2
Re-exploring the Penney-Ante Game	2
Exploratory Data Analysis with MATLAB, 3rd ed., by Wendy L. Martinez, Angel R. Martinez, and Jeffrey L. Solka	2
Fitting Log-Gaussian Cox Processes Using Generalized Additive Model Software	2
Assessment and Continuous Improvement of an Undergraduate Data Science Program	2
An Efficient Computation Strategy for Generalized Single-Index Models and Their Variants by Integrating with GAM	2
Bayesian-Frequentist Hybrid Inference in Applications with Small Sample Sizes	2
An Example to Illustrate Randomized Trial Estimands and Estimators	2
On Deconfounding Spatial Confounding in Linear Models	2
Evaluating Real-Time Probabilistic Forecasts With Application to National Basketball Association Outcome Prediction	2
Bivariate Analysis of Distribution Functions Under Biased Sampling	2
Comment on “A Case for Nonparametrics” by Bower et al.	2
The Current State of Undergraduate Bayesian Education and Recommendations for the Future	2
RafterNet: Probabilistic Predictions in Multi-Response Regression	2
Binomial Confidence Intervals for Rare Events: Importance of Defining Margin of Error Relative to Magnitude of Proportion	2
Cross-Validatory Z-Residual for Diagnosing Shared Frailty Models	2
From Black Box to Shining Spotlight: Using Random Forest Prediction Intervals to Illuminate the Impact of Assumptions in Linear Regression	2
Enhanced Inference for Finite Population Sampling-Based Prevalence Estimation with Misclassification Errors	2
Statistics in Medicine	2
A Response to Rice and Lumley	2
The R2D2 Prior for Generalized Linear Mixed Models	2

A Characterization of Most(More) Powerful Test Statistics with Simple Nonparametric Applications	2
Prioritizing Variables for Observational Study Design using the Joint Variable Importance Plot	2
Athlete Recruitment and the Myth of the Sophomore Peak	1
Bayesian Log-Rank Test	1
The Application of the Likelihood Ratio Test and the Cochran-Mantel-Haenszel Test to Discrimination Cases	1
Statistics for Making Decisions,	1
Applied Directional Statistics: Modern Methods and Case Studies	1
Inference in Experiments Conditional on Observed Imbalances in Covariates	1
Comment on “Forbidden Knowledge and Specialized Training: A Versatile Solution for the Two Main Sources of Overfitting in Linear Regression,” by Rohlfs (2023)	1
Myths About Linear and Monotonic Associations: Pearson’s r, Spearman’s ρ, and Kendall’s τ	1
Covariance Matrix Estimation for High-Throughput Biomedical Data with Interconnected Communities	1
Melded Confidence Intervals Do Not Provide Guaranteed Coverage	1
A Look into the Problem of Preferential Sampling through the Lens of Survey Statistics	1
Bayesian Detection of Bias in Peremptory Challenges Using Historical Strike Data	1
Event History Analysis with R, 2nd ed.	1
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.	1
Comment on “On Optimal Correlation-Based Prediction”, By Bottai et al. (2022)	1
When Heavy Tails Disrupt Statistical Inference	1
A Review of Bayesian Perspectives on Sample Size Derivation for Confirmatory Trials	1
A Survey of Bias in Machine Learning Through the Prism of Statistical Parity	1
On Optimal Correlation-Based Prediction	1
Interactive Exploration of Large Dendrograms with Prototypes	1
The Wald Confidence Interval for a Binomial p as an Illuminating “Bad” Example	1
Selection Criterion of Working Correlation Structure for Spatially Correlated Data	1
Reconstructing the Kaplan–Meier Estimator as an M-estimator	1
Bayesian Testing of Linear Versus Nonlinear Effects Using Gaussian Process Priors	1
The Model Thinker: What You Need to Know to Make Data Work for You	1
Statistical Inference for Method of Moments Estimators of a Semi-Supervised Two-Component Mixture Model	1
Demystifying Statistical Learning Based on Efficient Influence Functions	1
The Cauchy Combination Test under Arbitrary Dependence Structures	1
COVID-19 Pandemic as a Change Agent in the Structure and Practice of Statistical Consulting Centers	1
Sequential Monitoring Using the Second Generation P-Value with Type I Error Controlled by Monitoring Frequency	1
Thick Data Analytics (TDA): An Iterative and Inductive Framework for Algorithmic Improvement	1
A Class of Regression Association Measures based on Concordance	0
“Two Truths and a Lie” as a Class-Participation Activity	0
An Effective and Small Sample-Size Valid Confidence Interval for Isotonic Dose–Response Curves by Inverting a Partial Likelihood Ratio Test	0
Bartroff, J., Lorden, G. and Wang, L. (2022), “Optimal and Fast Confidence Intervals for Hypergeometric Successes,” The American Statistician: Comment by Schilling	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
A Multiple Imputation Approach for the Cumulative Incidence, with Implications for Variance Estimation	0
Mixture of Networks for Clustering Categorical Data: A Penalized Composite Likelihood Approach	0
A Geometric Derivation of the Cantor Distribution	0
A Bayesian Spatial Analysis of the Heterogeneity in Human Mobility Changes During the First Wave of the COVID-19 Epidemic in the United States	0
Semi-Structured Distributional Regression	0
A Comparative Tutorial of Bayesian Sequential Design and Reinforcement Learning	0
Estimation of a Generalized Treatment Effect in a Control Group Versus Treatment Group Design	0
Counternull Sets in Randomized Experiments	0
A Proposal for Informative Default Priors Scaled by the Standard Error of Estimates	0
The Case-Control Approach Can be More Powerful for Matched Pair Observational Studies When the Outcome is Rare	0
Performance Analysis of NSUM Estimators in Social-Network Topologies	0
Integrative Data Analysis Where Partial Covariates Have Complex Nonlinear Effects by Using Summary Information from an External Data	0
Global Simulation Envelopes for Diagnostic Plots in Regression Models	0
Difference Between Binomial Proportions Using Newcombe’s Method With Multiple Imputation for Incomplete Data	0
Alpha Seminar: A Course for New Graduate Students in Statistics	0
On Point Estimators for Gamma and Beta Distributions	0
How Do We Perform a Paired t-Test When We Don’t Know How to Pair?	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
A Statistical Basis for Reporting Strength of Evidence as Pool Reduction	0
Data Monitoring Committees in Clinical Trials: A Practical Perspective	0
First-Passage Times for Random Partial Sums: Yadrenko’s Model for e and Beyond	0
Out-of-Sample R 2 : Estimation and Inference	0
Distribution-Free Location-Scale Regression	0
Incorporating Minimum Variances into Weighted Optimality Criteria	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
Confidence Distributions for the Autoregressive Parameter	0
Parole Board Decision-Making using Adversarial Risk Analysis	0
Statistical Guidance to Authors at Top-Ranked Journals across Scientific Disciplines	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
Using Differentiable Programming for Flexible Statistical Modeling	0
MOVER-R and Penalized MOVER-R Confidence Intervals for the Ratio of Two Quantities	0
A Review of Design of Experiments Courses Offered to Undergraduate Students at American Universities	0
Selecting the Best Compositions of a Wheelchair Basketball Team: A Data-Driven Approach	0
Consultancy Style Dissertations in Statistics and Data Science: Why and How	0
Response to Letter to the Editor: Zhang, J. (2021)	0
Graph Sampling	0
Statistical Challenges in Online Controlled Experiments: A Review of A/B Testing Methodology	0
Response to Comment by Schilling	0
The State of Play of Reproducibility in Statistics: An Empirical Analysis	0
Boldness-Recalibration for Binary Event Predictions	0
Causal Inference with Complex Surveys: A Unified Perspective on Sample Selection and Exposure Selection	0
Here Comes the STRAIN: Analyzing Defensive Pass Rush in American Football with Player Tracking Data	0

A Practical Approach to Proper Inference with Linked Data	0
Improved Approximation and Visualization of the Correlation Matrix	0
Proximal MCMC for Bayesian Inference of Constrained and Regularized Estimation	0
Comment on “On the Power of the F-test for Hypotheses in a Linear Model,” by Griffiths and Hill (2022)	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
Additive Hazards Regression Analysis of Massive Interval-Censored Data via Data Splitting	0
Introducing Variational Inference in Statistics and Data Science Curriculum	0
Mapping Life Expectancy Loss in Barcelona in 2020	0
Telling Stories with Data: With Applications in R	0
Spatial Confounding in Generalized Estimating Equations	0
Revisiting the Name Variant of the Two-Children Problem	0
Tightening Blocks in Complementary Analyses of Observational Studies: Optimization Algorithm and Examples	0
Laplace’s Law of Succession Estimator and M-Statistics	0
Comparing Three Groups	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
Understanding the Implications of a Complete Case Analysis for Regression Models with a Right-Censored Covariate	0
Likelihood-Free Parameter Estimation with Neural Bayes Estimators	0
A Course in the Large Sample Theory of Statistical Inference,	0
Multiple-Model-based Robust Estimation of Causal Treatment Effect on a Binary Outcome with Integrated Information from Secondary Outcomes	0
Counting the Unseen: Estimation of Susceptibility Proportions in Zero-Inflated Models Using a Conditional Likelihood Approach	0
Statistical Theory: A Concise Introduction, 2nd ed.	0
Bayes Factors and Posterior Estimation: Two Sides of the Very Same Coin	0
Play Call Strategies and Modeling for Target Outcomes in Football	0
Causal Quartets: Different Ways to Attain the Same Average Treatment Effect	0
Publication Policies for Replicable Research and the Community-Wide False Discovery Rate	0
Leadership in Statistics and Data Science: Planning for Inclusive Excellence,	0
A Study on Estimating the Parameter of the Truncated Geometric Distribution	0
Using Exact Tests from Algebraic Statistics in Sparse Multi-Way Analyses: An Application to Analyzing Differential Item Functioning	0
Tractable Bayesian Inference For An Unidentified Simple Linear Regression Model	0
A Comparison of Bayesian Multivariate Versus Univariate Normal Regression Models for Prediction	0
Sensitivity Analyses of Clinical Trial Designs: Selecting Scenarios and Summarizing Operating Characteristics	0
Variable Selection With Second-Generation P-Values	0
Handbook of Multiple Comparisons	0
Learning to Forecast: The Probabilistic Time Series Forecasting Challenge	0
One-Step Weighting to Generalize and Transport Treatment Effect Estimates to a Target Population	0
Using the Lambert Function to Estimate Shared Frailty Models with a Normally Distributed Random Intercept	0
Applied Machine Learning Using mlr3 in R.	0
Analytical Problem Solving Based on Causal, Correlational and Deductive Models	0
Expressing Regret: A Unified View of Credible Intervals	0
Beyond Multiple Linear Regression: Applied Generalized Linear Models and Multilevel Models in R	0
Linearity of Unbiased Linear Model Estimators	0
Evidential Calibration of Confidence Intervals	0
Estimation of Contact Time Among Animals from Telemetry Data	0
Hitting a Prime by Rolling a Die with Infinitely Many Faces	0
Textual Data Science with R	0
Building Regression Models with SAS ® : A Guide for Data Scientists	0
Object Oriented Data Analysis	0
Distance Covariance, Independence, and Pairwise Differences	0
Black Box Variational Bayesian Model Averaging	0
Sequential Selection for Minimizing the Variance with Application to Crystallization Experiments	0
The American Statistician 2023 Associate Editors	0
Estimating the Performance of Entity Resolution Algorithms: Lessons Learned Through PatentsView.org	0
Statistical Implications of Endogeneity Induced by Residential Segregation in Small-Area Modeling of Health Inequities	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
A Multi-Method Data Science Pipeline for Analyzing Police Service	0
Statistical Issues in Drug Development, 3rd ed.	0
Bias Analysis for Misclassification Errors in both the Response Variable and Covariate	0
On Misuses of the Kolmogorov–Smirnov Test for One-Sample Goodness-of-Fit	0
A Case for Nonparametrics	0
Differentially Private Methods for Releasing Results of Stability Analyses	0
Assignment-Control Plots: A Visual Companion for Causal Inference Study Design	0
Comparative Probability Metrics: Using Posterior Probabilities to Account for Practical Equivalence in A/B tests	0
Estimating Knee Movement Patterns of Recreational Runners Across Training Sessions Using Multilevel Functional Regression Models	0
On Generating Distributions with the Memoryless Property	0
Hitting a Prime in 2.43 Dice Rolls (On Average)	0
A Simple and Fast Algorithm for Generating Correlation Matrices with a Known Average Correlation Coefficient	0
Closed-Form Power and Sample Size Calculations for Bayes Factors	0
Using Conformal Win Probability to Predict the Winners of the Canceled 2020 NCAA Basketball Tournaments	0