The American Statistician

2012 - 2025

Continuation of The American Statistician.

Current editor(s): Eric Sampson

From Taylor & Francis Journals
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Volume 79, issue 4, 2025

Interpretable Model Summaries Using the Wasserstein Distance pp. 421-434

Eric Dunipace and Lorenzo Trippa

Toward Explainable Data and Sports Analytics: A Case Study on Pass Completion Prediction in American Football pp. 435-448

Anton Augustine, Gabe P. Redding and Steven Le Moan

A New General Class of Discrete Bivariate Distributions Constructed by the Usual Stochastic Order pp. 449-466

Min Ju Lee, Na Young Yoo and Ji Hwan Cha

Bayesian Inference and the Principle of Maximum Entropy pp. 467-473

Duncan K. Foley and Ellis Scharfenaker

High Dimensional Space Oddity pp. 474-479

Haim Bar and Vladimir Pozdnyakov

Much Ado About Survey Tables: A Comparison of Chi-Square Tests and Software to Analyze Categorical Survey Data pp. 480-491

Li-Yen R. Hu, Yulei He, Katherine E. Irimata and Vladislav Beresovsky

Zero-Truncated Modelling in a Meta-Analysis on Suicide Data after Bariatric Surgery pp. 492-499

Layna Charlie Dennett, Antony Overstall and Dankmar Böhning

On Devon Allen’s Disqualification at the 2022 World Track and Field Championships pp. 500-507

Owen Fiore, Elizabeth D. Schifano and Jun Yan

Bayesian Model Checking by Betting: A Game-Theoretic Alternative to Bayesian p-values and Classical Bayes Factors pp. 508-519

David R. Bickel

An Undergraduate Course on the Statistical Principles of Research Study Design pp. 520-528

Lee Kennedy-Shaffer

Near-Peer Mentoring in Data Science: A Plot for Mutual Growth pp. 529-537

Chiara Sabatti and Qian Zhao

A Cornucopia of Maximum Likelihood Algorithms pp. 538-548

Kenneth Lange, Xun-Jian Li and Hua Zhou

A First Course in Causal Inference pp. 549-549

Kwun Chuen Gary Chan

Applications of Regression for Categorical Outcomes Using R pp. 549-551

Maria Tackett

On Consistent Imputation of Missing Predictors in Linear Regression Models pp. 552-553

David Oakes

Volume 79, issue 3, 2025

A Multiple Imputation Approach for the Cumulative Incidence, with Implications for Variance Estimation pp. 291-301

Elizabeth C. Chase, Philip S. Boonstra and Jeremy M. G. Taylor

An Efficient Computation Strategy for Generalized Single-Index Models and Their Variants by Integrating With GAM pp. 302-310

Ximin Li, Haozhe Liang and Hua Liang

Laplace’s Law of Succession Estimator and M-Statistics pp. 311-319

Eugene Demidenko

A Class of Regression Association Measures based on Concordance pp. 320-329

Jia-Han Shih and Yi-Hau Chen

Closed-Form Power and Sample Size Calculations for Bayes Factors pp. 330-344

Samuel Pawel and Leonhard Held

Play-by-Play Volleyball Win Probability Model pp. 345-354

Nathan Hawkins, Gilbert W. Fellingham and Garritt L. Page

Analyzing Spatial Point Patterns in Digital Pathology: Immune Cells in High-Grade Serous Ovarian Carcinomas pp. 355-370

Jonatan A. González, Julia Wrobel, Simon Vandekar and Paula Moraga

Flexible Distributed Lag Models for Count Data Using mgcv pp. 371-382

Theo Economou, Daphne Parliari, Aurelio Tobias, Laura Dawkins, Hamish Steptoe, Christophe Sarran, Oliver Stoner, Rachel Lowe and Jos Lelieveld

An Example to Illustrate Randomized Trial Estimands and Estimators pp. 383-392

Linda J. Harrison and Sean S. Brummel

Analytics, Have Some Humility: A Statistical View of Fourth-Down Decision Making pp. 393-409

Ryan S. Brill, Ronald Yurko and Abraham J. Wyner

Connections between Statistics and Mathematics/Probability pp. 410-415

Michael A. Proschan and Pamela A. Shaw

Data Science in Practice pp. 416-417

Xiao Hui Tai

Nonparametric Statistical Methods Using R, 2nd ed pp. 416-416

Bojana Milošević

Learn R: As a Language, 2nd ed pp. 417-419

Haihan Yu

Volume 79, issue 2, 2025

Additive Hazards Regression Analysis of Massive Interval-Censored Data via Data Splitting pp. 145-155

Peiyao Huang, Shuwei Li and Xinyuan Song

A Pareto Tail Plot Without Moment Restrictions pp. 156-166

Bernhard Klar

Estimation of a Generalized Treatment Effect in a Control Group Versus Treatment Group Design pp. 167-172

Daniel R. Jeske

Causal Inference with Complex Surveys: A Unified Perspective on Sample Selection and Exposure Selection pp. 173-183

Giovanni Nattino, Robert Ashmead and Bo Lu

Sparse-Group Boosting: Unbiased Group and Variable Selection pp. 184-197

Fabian Obster and Christian Heumann

Cross-Validatory Z-Residual for Diagnosing Shared Frailty Models pp. 198-211

Tingxuan Wu, Cindy Feng and Longhai Li

Selecting the Best Compositions of a Wheelchair Basketball Team: A Data-Driven Approach pp. 212-220

Gabriel Calvo, Carmen Armero, Bernd Grimm and Christophe Ley

When Heavy Tails Disrupt Statistical Inference pp. 221-235

Richard M. Vogel, Simon Michael Papalexiou, Jonathan R. Lamontagne and Flannery C. Dolan

An Effective and Small Sample-Size Valid Confidence Interval for Isotonic Dose–Response Curves by Inverting a Partial Likelihood Ratio Test pp. 236-246

J. G. Liao

Performance Analysis of NSUM Estimators in Social-Network Topologies pp. 247-264

Sergio Díaz-Aranda, Jose Aguilar, Juan Marcos Ramírez, David Rabanedo, Antonio Fernández Anta and Rosa E. Lillo

Estimation of Contact Time Among Animals from Telemetry Data pp. 265-274

Andrew B. Whetten, Trevor J. Hefley and David A. Haukos

Counternull Sets in Randomized Experiments pp. 275-285

M.-A. C. Bind and D. B. Rubin

Foundations of Data Science with Python pp. 286-286

Qing Wang

Modern Data Visualization with R pp. 287-288

John M. Hoenig

Applied Machine Learning Using mlr3 in R pp. 288-289

Xueying Tang

Volume 79, issue 1, 2025

Tightening Blocks in Complementary Analyses of Observational Studies: Optimization Algorithm and Examples pp. 1-9

Paul R. Rosenbaum

Using Exact Tests from Algebraic Statistics in Sparse Multi-Way Analyses: An Application to Analyzing Differential Item Functioning pp. 10-22

Shishir Agrawal, Luis David Garcia Puente, Minho Kim and Flavia Sancier-Barbosa

A Simple and Fast Algorithm for Generating Correlation Matrices with a Known Average Correlation Coefficient pp. 23-29

Niels G. Waller

The Best Time to Play the Lottery pp. 30-39

Christopher M. Rump

The R2D2 Prior for Generalized Linear Mixed Models pp. 40-49

Eric Yanchenko, Howard D. Bondell and Brian J. Reich

Sequential Monitoring Using the Second Generation P-Value with Type I Error Controlled by Monitoring Frequency pp. 50-60

Jonathan J. Chipman, Robert A. Greevy, Lindsay S. Mayberry and Jeffrey D. Blume

Integrative Data Analysis Where Partial Covariates Have Complex Nonlinear Effects by Using Summary Information from an External Data pp. 61-71

Jia Liang, Shuo Chen, Peter Kochunov, L. Elliot Hong and Chixiang Chen

High-Dimensional Propensity Score and Its Machine Learning Extensions in Residual Confounding Control pp. 72-90

Mohammad Ehsanul Karim

A Multi-Method Data Science Pipeline for Analyzing Police Service pp. 91-101

Anna Haensch, Daanika Gordon, Karin Knudson and Justina Cheng

Assessment and Continuous Improvement of an Undergraduate Data Science Program pp. 102-121

Nicholas Clark, Christopher Morrell and Mike Powell

Distance Covariance, Independence, and Pairwise Differences pp. 122-128

Jakob Raymaekers and Peter Rousseeuw

A Review of Design of Experiments Courses Offered to Undergraduate Students at American Universities pp. 129-139

Alan R. Vazquez and Xiaocong Xuan

Building Regression Models with SAS®: A Guide for Data Scientists pp. 140-141

Juan Sosa

Spatial Sampling with R pp. 141-142

Francesco Pantalone and Roberto Benedetti

A Course in the Large Sample Theory of Statistical Inference pp. 142-143

Indranil Sahoo