American Statistician

Papers
(The median citation count of American Statistician is 0. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-04-01 to 2025-04-01.)
ArticleCitations
Analyzing Matched 2 × 2 Tables from all Corners70
Moments of the Nonnegative Adjusted Estimator of Squared Multiple Correlation48
Forbidden Knowledge and Specialized Training: A Versatile Solution for the Two Main Sources of Overfitting in Linear Regression36
Foundations of Data Science with Python31
Connections between Statistics and Mathematics/Probability23
x + y: A Mathematician's Manifesto for Rethinking Gender21
Do Dice Play God? The Mathematics of Uncertainty, by Ian Stewart17
Spatial Sampling with R14
The Best Time to Play the Lottery14
The Phistogram12
The Phantom Pattern Problem: The Mirage of Big Data,10
A Note on Monte Carlo Integration in High Dimensions10
Inverse Probability Weighting Estimation in Completely Randomized Experiments10
Lessons from a Discussion-Based Course on the History of Statistics9
The “Poisson” Distribution: History, Reenactments, Adaptations8
Integrating Ethics into the Guidelines for Assessment and Instruction in Statistics Education (GAISE)8
On Arbitrarily Underdispersed Discrete Distributions8
Missing Data Imputation with High-Dimensional Data6
On the Power of the F-test for Hypotheses in a Linear Model6
Pairwise Independence May Not Imply Independence: New Illustrations and a Generalization6
High-Dimensional Propensity Score and Its Machine Learning Extensions in Residual Confounding Control6
Modern Data Visualization with R5
Correction: Linearity of Unbiased Linear Model Estimators5
A Study on the Power Parameter in Power Prior Bayesian Analysis5
A Pareto Tail Plot Without Moment Restrictions5
Coherent Tests for Interval Null Hypotheses5
Introduction to Statistical Modelling and Inference5
A Review of Adversarial Attack and Defense for Classification Methods5
Hierarchical Spatio-Temporal Change-Point Detection5
Nonparametric Statistical Methods Using R, 2nd ed.5
On the Term “Randomization Test”5
Comment on “On the Power of the F-test for Hypotheses in a Linear Model” by Griffiths and Hill (2022)4
A Connection Between Baseball and Clinical Trials Found in “Slugging Percentage is Not a Percentage—And Why That Matters”4
Probability and Statistical Inference: From Basic Principles to Advanced Models4
Quantifying the Inspection Paradox with Random Time4
Probability, Statistics, and Data: A Fresh Approach Using R4
The Probability Mass Function of the Kaplan–Meier Product–Limit Estimator4
Optimal and Fast Confidence Intervals for Hypergeometric Successes4
Hidden Markov Models for Low-Frequency Earthquake Recurrence4
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 & Ha4
Bayesian Analysis of Infectious Diseases: COVID-19 and Beyond.3
Bayesian-Frequentist Hybrid Inference in Applications with Small Sample Sizes3
Comment on “On Optimal Correlation-Based Prediction,” by Bottai et al. (2022)3
An Efficient Computation Strategy for Generalized Single-Index Models and Their Variants by Integrating with GAM3
The Sign Test, Paired Data, and Asymmetric Dependence: A Cautionary Tale3
Data Privacy Protection and Utility Preservation through Bayesian Data Synthesis: A Case Study on Airbnb Listings3
Bang the Can Slowly: An Investigation into the 2017 Houston Astros3
Pseudo-Ranks: The Better Way of Ranking?3
An Example to Illustrate Randomized Trial Estimands and Estimators3
Statistical Challenges in Agent-Based Modeling3
Quantitative Drug Safety and Benefit-Risk Evaluation: Practical and Cross-Disciplinary Approaches3
Cross-Validatory Z-Residual for Diagnosing Shared Frailty Models3
Sparse-Group Boosting: Unbiased Group and Variable Selection3
SAS for Mixed Models: Introduction and Basic Applications3
A New Transformation of Treated-Control Matched-Pair Differences for Graphical Display3
Enhanced Inference for Finite Population Sampling-Based Prevalence Estimation with Misclassification Errors2
Binomial Confidence Intervals for Rare Events: Importance of Defining Margin of Error Relative to Magnitude of Proportion2
Multiple Imputation Inference with Integer-Valued Point Estimates2
Prioritizing Variables for Observational Study Design using the Joint Variable Importance Plot2
RafterNet: Probabilistic Predictions in Multi-Response Regression2
A Response to Rice and Lumley2
Hypothesis Testing for Matched Pairs with Missing Data by Maximum Mean Discrepancy: An Application to Continuous Glucose Monitoring2
The R2D2 Prior for Generalized Linear Mixed Models2
Technical Validation of Plot Designs by Use of Deep Learning2
When Your Permutation Test is Doomed to Fail2
Assessment and Continuous Improvement of an Undergraduate Data Science Program2
On Deconfounding Spatial Confounding in Linear Models2
Re-exploring the Penney-Ante Game2
Statistics in Medicine2
Evaluating Real-Time Probabilistic Forecasts With Application to National Basketball Association Outcome Prediction2
Fitting Log-Gaussian Cox Processes Using Generalized Additive Model Software2
The Current State of Undergraduate Bayesian Education and Recommendations for the Future2
The Impact of Application of the Jackknife to the Sample Median2
A Characterization of Most(More) Powerful Test Statistics with Simple Nonparametric Applications2
Bivariate Analysis of Distribution Functions Under Biased Sampling2
Comment on “A Case for Nonparametrics” by Bower et al.2
From Black Box to Shining Spotlight: Using Random Forest Prediction Intervals to Illuminate the Impact of Assumptions in Linear Regression2
Exploratory Data Analysis with MATLAB, 3rd ed., by Wendy L. Martinez, Angel R. Martinez, and Jeffrey L. Solka2
Tightening Blocks in Complementary Analyses of Observational Studies: Optimization Algorithm and Examples1
Statistics for Making Decisions,1
The Cauchy Combination Test under Arbitrary Dependence Structures1
Bayesian Testing of Linear Versus Nonlinear Effects Using Gaussian Process Priors1
Reconstructing the Kaplan–Meier Estimator as an M-estimator1
Event History Analysis with R, 2nd ed.1
Applied Directional Statistics: Modern Methods and Case Studies1
Statistical Inference for Method of Moments Estimators of a Semi-Supervised Two-Component Mixture Model1
The Application of the Likelihood Ratio Test and the Cochran-Mantel-Haenszel Test to Discrimination Cases1
Integrative Data Analysis Where Partial Covariates Have Complex Nonlinear Effects by Using Summary Information from an External Data1
Melded Confidence Intervals Do Not Provide Guaranteed Coverage1
A Survey of Bias in Machine Learning Through the Prism of Statistical Parity1
COVID-19 Pandemic as a Change Agent in the Structure and Practice of Statistical Consulting Centers1
Inference in Experiments Conditional on Observed Imbalances in Covariates1
Athlete Recruitment and the Myth of the Sophomore Peak1
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
Bayesian Detection of Bias in Peremptory Challenges Using Historical Strike Data1
Interactive Exploration of Large Dendrograms with Prototypes1
Building Regression Models with SAS ® : A Guide for Data Scientists1
The Wald Confidence Interval for a Binomial p as an Illuminating “Bad” Example1
A Look into the Problem of Preferential Sampling through the Lens of Survey Statistics1
Covariance Matrix Estimation for High-Throughput Biomedical Data with Interconnected Communities1
Bayesian Log-Rank Test1
Selection Criterion of Working Correlation Structure for Spatially Correlated Data1
The Model Thinker: What You Need to Know to Make Data Work for You1
Sequential Monitoring Using the Second Generation P-Value with Type I Error Controlled by Monitoring Frequency1
On Optimal Correlation-Based Prediction1
Thick Data Analytics (TDA): An Iterative and Inductive Framework for Algorithmic Improvement1
Additive Hazards Regression Analysis of Massive Interval-Censored Data via Data Splitting1
Comment on “Forbidden Knowledge and Specialized Training: A Versatile Solution for the Two Main Sources of Overfitting in Linear Regression,” by Rohlfs (2023)1
Applied Machine Learning Using mlr3 in R.0
Improved Approximation and Visualization of the Correlation Matrix0
Using the Lambert Function to Estimate Shared Frailty Models with a Normally Distributed Random Intercept0
Counternull Sets in Randomized Experiments0
Analytical Problem Solving Based on Causal, Correlational and Deductive Models0
Beyond Multiple Linear Regression: Applied Generalized Linear Models and Multilevel Models in R0
Causal Inference with Complex Surveys: A Unified Perspective on Sample Selection and Exposure Selection0
Distribution-Free Location-Scale Regression0
Hitting a Prime by Rolling a Die with Infinitely Many Faces0
Proximal MCMC for Bayesian Inference of Constrained and Regularized Estimation0
First-Passage Times for Random Partial Sums: Yadrenko’s Model for e and Beyond0
Linearity of Unbiased Linear Model Estimators0
Sequential Selection for Minimizing the Variance with Application to Crystallization Experiments0
Mapping Life Expectancy Loss in Barcelona in 20200
Statistical Implications of Endogeneity Induced by Residential Segregation in Small-Area Modeling of Health Inequities0
Estimating the Performance of Entity Resolution Algorithms: Lessons Learned Through PatentsView.org0
A Review of Bayesian Perspectives on Sample Size Derivation for Confirmatory Trials0
Analytics, have some humility: a statistical view of fourth-down decision making0
Statistical Issues in Drug Development, 3rd ed.0
Myths About Linear and Monotonic Associations: Pearson’s r, Spearman’s ρ, and Kendall’s τ0
A Statistical Basis for Reporting Strength of Evidence as Pool Reduction0
The American Statistician 2023 Associate Editors0
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, 20
A Class of Regression Association Measures based on Concordance0
Counting the Unseen: Estimation of Susceptibility Proportions in Zero-Inflated Models Using a Conditional Likelihood Approach0
Object Oriented Data Analysis0
Tractable Bayesian Inference For An Unidentified Simple Linear Regression Model0
Assignment-Control Plots: A Visual Companion for Causal Inference Study Design0
On Generating Distributions with the Memoryless Property0
Incorporating Minimum Variances into Weighted Optimality Criteria0
Publication Policies for Replicable Research and the Community-Wide False Discovery Rate0
Using Differentiable Programming for Flexible Statistical Modeling0
Closed-Form Power and Sample Size Calculations for Bayes Factors0
MOVER-R and Penalized MOVER-R Confidence Intervals for the Ratio of Two Quantities0
One-Step Weighting to Generalize and Transport Treatment Effect Estimates to a Target Population0
Textual Data Science with R0
An Effective and Small Sample-Size Valid Confidence Interval for Isotonic Dose–Response Curves by Inverting a Partial Likelihood Ratio Test0
Introduction to Stochastic Finance with Market Examples, 2nd ed Introduction to Stochastic Finance with Market Examples, 2nd ed . Nicolas Privault, Boca Raton, FL: Chapm0
Variable Selection With Second-Generation P-Values0
Bartroff, J., Lorden, G. and Wang, L. (2022), “Optimal and Fast Confidence Intervals for Hypergeometric Successes,” The American Statistician: Comment by Schilling0
A Bayesian Spatial Analysis of the Heterogeneity in Human Mobility Changes During the First Wave of the COVID-19 Epidemic in the United States0
Learning to Forecast: The Probabilistic Time Series Forecasting Challenge0
A Geometric Derivation of the Cantor Distribution0
Distance Covariance, Independence, and Pairwise Differences0
Evidential Calibration of Confidence Intervals0
Estimating Knee Movement Patterns of Recreational Runners Across Training Sessions Using Multilevel Functional Regression Models0
Expressing Regret: A Unified View of Credible Intervals0
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
The Case-Control Approach Can be More Powerful for Matched Pair Observational Studies When the Outcome is Rare0
Estimation of Contact Time Among Animals from Telemetry Data0
Introducing Variational Inference in Statistics and Data Science Curriculum0
Difference Between Binomial Proportions Using Newcombe’s Method With Multiple Imputation for Incomplete Data0
On Point Estimators for Gamma and Beta Distributions0
Parole Board Decision-Making using Adversarial Risk Analysis0
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
When Heavy Tails Disrupt Statistical Inference0
Semi-Structured Distributional Regression0
Global Simulation Envelopes for Diagnostic Plots in Regression Models0
Multiple-Model-based Robust Estimation of Causal Treatment Effect on a Binary Outcome with Integrated Information from Secondary Outcomes0
Demystifying Statistical Learning Based on Efficient Influence Functions0
Understanding the Implications of a Complete Case Analysis for Regression Models with a Right-Censored Covariate0
How Do We Perform a Paired t-Test When We Don’t Know How to Pair?0
A Simple and Fast Algorithm for Generating Correlation Matrices with a Known Average Correlation Coefficient0
Data Monitoring Committees in Clinical Trials: A Practical Perspective0
Differentially Private Methods for Releasing Results of Stability Analyses0
A Course in the Large Sample Theory of Statistical Inference,0
Statistical Guidance to Authors at Top-Ranked Journals across Scientific Disciplines0
Hitting a Prime in 2.43 Dice Rolls (On Average)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
Statistical Theory: A Concise Introduction, 2nd ed.0
Estimation of a Generalized Treatment Effect in a Control Group Versus Treatment Group Design0
A Study on Estimating the Parameter of the Truncated Geometric Distribution0
A Comparison of Bayesian Multivariate Versus Univariate Normal Regression Models for Prediction0
Using Exact Tests from Algebraic Statistics in Sparse Multi-Way Analyses: An Application to Analyzing Differential Item Functioning0
Graph Sampling0
Sensitivity Analyses of Clinical Trial Designs: Selecting Scenarios and Summarizing Operating Characteristics0
Likelihood-Free Parameter Estimation with Neural Bayes Estimators0
The State of Play of Reproducibility in Statistics: An Empirical Analysis0
Comparing Three Groups0
Response to Comment by Schilling0
A Practical Approach to Proper Inference with Linked Data0
Boldness-Recalibration for Binary Event Predictions0
Here Comes the STRAIN: Analyzing Defensive Pass Rush in American Football with Player Tracking Data0
Play Call Strategies and Modeling for Target Outcomes in Football0
A Multiple Imputation Approach for the Cumulative Incidence, with Implications for Variance Estimation0
Comment on “On the Power of the F-test for Hypotheses in a Linear Model,” by Griffiths and Hill (2022)0
A Comparative Tutorial of Bayesian Sequential Design and Reinforcement Learning0
“Two Truths and a Lie” as a Class-Participation Activity0
Telling Stories with Data: With Applications in R0
A Proposal for Informative Default Priors Scaled by the Standard Error of Estimates0
Consultancy Style Dissertations in Statistics and Data Science: Why and How0
Revisiting the Name Variant of the Two-Children Problem0
Laplace’s Law of Succession Estimator and M-Statistics0
Alpha Seminar: A Course for New Graduate Students in Statistics0
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
Analyzing Spatial Point Patterns in Digital Pathology: Immune Cells in High-Grade Serous Ovarian Carcinomas0
Selecting the Best Compositions of a Wheelchair Basketball Team: A Data-Driven Approach0
Spatial Confounding in Generalized Estimating Equations0
A Case for Nonparametrics0
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 Wu0
Bias Analysis for Misclassification Errors in both the Response Variable and Covariate0
A Multi-Method Data Science Pipeline for Analyzing Police Service0
A Review of Design of Experiments Courses Offered to Undergraduate Students at American Universities0
Causal Quartets: Different Ways to Attain the Same Average Treatment Effect0
Confidence Distributions for the Autoregressive Parameter0
On Misuses of the Kolmogorov–Smirnov Test for One-Sample Goodness-of-Fit0
Bayes Factors and Posterior Estimation: Two Sides of the Very Same Coin0
Black Box Variational Bayesian Model Averaging0
Leadership in Statistics and Data Science: Planning for Inclusive Excellence,0
Comparative Probability Metrics: Using Posterior Probabilities to Account for Practical Equivalence in A/B tests0
Out-of-Sample R 2 : Estimation and Inference0
Mixture of Networks for Clustering Categorical Data: A Penalized Composite Likelihood Approach0
Performance Analysis of NSUM Estimators in Social-Network Topologies0
Using Conformal Win Probability to Predict the Winners of the Canceled 2020 NCAA Basketball Tournaments0
Handbook of Multiple Comparisons0
Statistical Challenges in Online Controlled Experiments: A Review of A/B Testing Methodology0
Response to Letter to the Editor: Zhang, J. (2021)0
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