American Statistician

Papers
(The median citation count of American Statistician is 1. 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 2022-01-01 to 2026-01-01.)
ArticleCitations
LASSO-Based Survival Prediction Modeling with Multiply Imputed Data: A Case Study in Tuberculosis Mortality Prediction119
A Note on Monte Carlo Integration in High Dimensions70
Lessons from a Discussion-Based Course on the History of Statistics69
Technical Validation of Plot Designs by Use of Deep Learning34
An Example to Illustrate Randomized Trial Estimands and Estimators30
Data Privacy Protection and Utility Preservation through Bayesian Data Synthesis: A Case Study on Airbnb Listings21
Optimal and Fast Confidence Intervals for Hypergeometric Successes15
Invariant Measures of Disagreement with Stochastic Dominance14
On Devon Allen’s Disqualification at the 2022 World Track and Field Championships13
Integrative Data Analysis Where Partial Covariates Have Complex Nonlinear Effects by Using Summary Information from an External Data11
Bayesian Testing of Linear Versus Nonlinear Effects Using Gaussian Process Priors11
A Look into the Problem of Preferential Sampling through the Lens of Survey Statistics11
Analytics, Have Some Humility: A Statistical View of Fourth-Down Decision Making10
The Cauchy Combination Test under Arbitrary Dependence Structures9
Myths About Linear and Monotonic Associations: Pearson’s r, Spearman’s ρ, and Kendall’s τ9
Beyond the Yard Line: Accommodating Rounded Sports Data in Statistical Models9
Statistical Inference for Method of Moments Estimators of a Semi-Supervised Two-Component Mixture Model9
Estimation of Contact Time Among Animals from Telemetry Data8
Hitting a Prime in 2.43 Dice Rolls (On Average)8
Estimating Knee Movement Patterns of Recreational Runners Across Training Sessions Using Multilevel Functional Regression Models8
Demystifying Statistical Learning Based on Efficient Influence Functions8
Alpha Seminar: A Course for New Graduate Students in Statistics7
A Class of Regression Association Measures based on Concordance7
Evidential Calibration of Confidence Intervals7
Multiple-Model-based Robust Estimation of Causal Treatment Effect on a Binary Outcome with Integrated Information from Secondary Outcomes7
Semi-Structured Distributional Regression7
Out-of-Sample R 2 : Estimation and Inference7
First-Passage Times for Random Partial Sums: Yadrenko’s Model for e and Beyond6
Nonparametric Block Bootstrap Kolmogorov-Smirnov Goodness-of-Fit Test6
A Statistical Basis for Reporting Strength of Evidence as Pool Reduction6
Comparative Probability Metrics: Using Posterior Probabilities to Account for Practical Equivalence in A/B tests6
Abraham Wald and the Origins of the Sequential Probability Ratio Test6
Feature selection in Cox model with partially observed covariates: Application to oncology trials6
Near-Peer Mentoring in Data Science: A Plot for Mutual Growth5
Spatial Sampling with R5
Modern Data Visualization with R5
The Best Time to Play the Lottery5
Confidence Distributions for the Autoregressive Parameter5
Linear Model Estimation and Prediction for p > n5
Integrating Ethics into the Guidelines for Assessment and Instruction in Statistics Education (GAISE)5
On Arbitrarily Underdispersed Discrete Distributions5
A First Course in Causal Inference5
Data Science in Practice5
Foundations of Data Science with Python5
The Storyboard: A Tool to Synthesize, Reflect On, and Write About Data Investigations5
RafterNet: Probabilistic Predictions in Multi-Response Regression4
A Statistical Approach to Latent Dynamic Modeling with Differential Equations4
A Study on the Power Parameter in Power Prior Bayesian Analysis4
Assessment and Continuous Improvement of an Undergraduate Data Science Program4
Flexible Bayesian Multiple Comparison Adjustment Using Dirichlet Process and Beta-Binomial Model Priors4
Prioritizing Variables for Observational Study Design using the Joint Variable Importance Plot4
Explainable Linear and Generalized Linear Models by the Predictions Plot4
Cross-Validatory Z-Residual for Diagnosing Shared Frailty Models4
Assignment-Control Plots: A Visual Companion for Causal Inference Study Design3
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, 23
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: 978-0-367-70420-9.3
A Case for Nonparametrics3
A Response to Rice and Lumley3
The Loser’s Curse and the Critical Role of the Utility Function3
A Review of Design of Experiments Courses Offered to Undergraduate Students at American Universities3
Revisiting the Name Variant of the Two-Children Problem3
Statistics for Making Decisions,3
Toward Explainable Data and Sports Analytics: A Case Study on Pass Completion Prediction in American Football3
A Comparative Tutorial of Bayesian Sequential Design and Reinforcement Learning3
Proximal MCMC for Bayesian Inference of Constrained and Regularized Estimation3
Tightening Blocks in Complementary Analyses of Observational Studies: Optimization Algorithm and Examples3
Linearity of Unbiased Linear Model Estimators2
Leadership in Statistics and Data Science: Planning for Inclusive Excellence,2
Improved Approximation and Visualization of the Correlation Matrix2
Nonparametric Statistical Methods Using R, 2nd ed.2
COVID-19 Pandemic as a Change Agent in the Structure and Practice of Statistical Consulting Centers2
Hierarchical Spatio-Temporal Change-Point Detection2
On Point Estimators for Gamma and Beta Distributions2
A Characterization of Most(More) Powerful Test Statistics with Simple Nonparametric Applications2
Distribution-Free Location-Scale Regression2
Counternull Sets in Randomized Experiments2
Differentially Private Methods for Releasing Results of Stability Analyses2
Pairwise Independence May Not Imply Independence: New Illustrations and a Generalization2
Bayesian Analysis of Infectious Diseases: COVID-19 and Beyond.2
Athlete Recruitment and the Myth of the Sophomore Peak2
Statistics in Medicine2
Hypothesis Testing for Matched Pairs with Missing Data by Maximum Mean Discrepancy: An Application to Continuous Glucose Monitoring2
Forbidden Knowledge and Specialized Training: A Versatile Solution for the Two Main Sources of Overfitting in Linear Regression2
Selecting the Best Compositions of a Wheelchair Basketball Team: A Data-Driven Approach2
Introduction to Stochastic Finance with Market Examples, 2nd ed Introduction to Stochastic Finance with Market Examples, 2nd ed . Nicolas Privault, Boca Raton, FL: Chapm2
Object Oriented Data Analysis2
Statistical Implications of Endogeneity Induced by Residential Segregation in Small-Area Modeling of Health Inequities2
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
Coherent Tests for Interval Null Hypotheses2
The Wald Confidence Interval for a Binomial p as an Illuminating “Bad” Example2
The R2D2 Prior for Generalized Linear Mixed Models2
Bayesian Inference and the Principle of Maximum Entropy2
Probabilistic parameter estimates that require less small print2
Facilitating a Collaborative Relationship between Generative AI and the Statistics Student2
Forecasting Future Eruptions Using Hierarchical Trend Renewal Processes1
Causal Quartets: Different Ways to Attain the Same Average Treatment Effect1
Causal Inference with Complex Surveys: A Unified Perspective on Sample Selection and Exposure Selection1
The “Poisson” Distribution: History, Reenactments, Adaptations1
Parole Board Decision-Making using Adversarial Risk Analysis1
Momentum effects in team sports: analyzing the interplay between offense and defense in the NBA1
Missing Data Imputation with High-Dimensional Data1
Bayesian Detection of Bias in Peremptory Challenges Using Historical Strike Data1
Bivariate Analysis of Distribution Functions Under Biased Sampling1
Statistical Challenges in Online Controlled Experiments: A Review of A/B Testing Methodology1
The Current State of Undergraduate Bayesian Education and Recommendations for the Future1
Closed-Form Power and Sample Size Calculations for Bayes Factors1
Here Comes the STRAIN: Analyzing Defensive Pass Rush in American Football with Player Tracking Data1
A Course in the Large Sample Theory of Statistical Inference,1
A Study on Estimating the Parameter of the Truncated Geometric Distribution1
American Football Scores: Using Partially Regularized Ordinal Regression to Adjust for Strength of Opponents, Within-Team Complementary Unit Performance1
Selection Criterion of Working Correlation Structure for Spatially Correlated Data1
Publication Policies for Replicable Research and the Community-Wide False Discovery Rate1
Visualizing Kendall’s τ and Hidden Structures in Ranked Data1
Comment on “On Optimal Correlation-Based Prediction”, By Bottai et al. (2022)1
Additive Hazards Regression Analysis of Massive Interval-Censored Data via Data Splitting1
Inverse Probability Weighting Estimation in Completely Randomized Experiments1
On the Term “Randomization Test”1
Play Call Strategies and Modeling for Target Outcomes in Football1
Thick Data Analytics (TDA): An Iterative and Inductive Framework for Algorithmic Improvement1
A Comparative Analysis of Phase I Dose-Finding Designs Incorporating Pharmacokinetics Information1
A Simple and Fast Algorithm for Generating Correlation Matrices with a Known Average Correlation Coefficient1
Bartroff, J., Lorden, G. and Wang, L. (2022), “Optimal and Fast Confidence Intervals for Hypergeometric Successes,” The American Statistician: Comment by Schilling1
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
Using Conformal Win Probability to Predict the Winners of the Canceled 2020 NCAA Basketball Tournaments1
A Review of Adversarial Attack and Defense for Classification Methods1
Laplace’s Law of Succession Estimator and M-Statistics1
A Cornucopia of Maximum Likelihood Algorithms1
Data Monitoring Committees in Clinical Trials: A Practical Perspective1
Bayesian Log-Rank Test1
An Effective and Small Sample-Size Valid Confidence Interval for Isotonic Dose–Response Curves by Inverting a Partial Likelihood Ratio Test1
Bayesian-Frequentist Hybrid Inference in Applications with Small Sample Sizes1
A Multivariate Fractional Hawkes Process for Multiple Earthquake Mainshock Aftershock Sequences1
Graph Sampling1
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