The American Statistician

2012 - 2026

Continuation of The American Statistician.

Current editor(s): Eric Sampson

From Taylor & Francis Journals
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Volume 80, issue 3, 2026

A Survey on Large Language Model-based Agents for Statistics and Data Science pp. 331-344

Maojun Sun, Ruijian Han, Binyan Jiang, Houduo Qi, Defeng Sun, Yancheng Yuan and Jian Huang

From AI to Statistics: On LLM-Based Agents for Data Science pp. 345-348

Chuanhai Liu

Discussion: “A Survey on Large Language Model–Based Agents for Statistics and Data Science” by Sun et al. (2025) pp. 349-351

Gul Inan

Rejoinder to the Discussions on “A Survey on Large Language Model-based Agents for Statistics and Data Science” pp. 352-359

Maojun Sun, Ruijian Han, Binyan Jiang, Houduo Qi, Defeng Sun, Yancheng Yuan and Jian Huang

Facilitating a Collaborative Relationship between Generative AI and the Statistics Student pp. 360-371

Richard A. Levine

The Accuracy and Replicability of Data Analysis Performed with Large Language Models pp. 372-374

Justus Eaglesmith, Tim Johnson and Robert W. Walker

Neural Autoregressive Flows Based Variational Bayes Model Averaging pp. 375-384

Jiefu Zhou and Shrijita Bhattacharya

On the Number of Replications in Resampling Tests and Monte Carlo Simulation Studies pp. 385-394

Daniel Gaigall and Julian Gerstenberg

Feature Selection in Cox Model with Partially Observed Covariates: Application to Oncology Trials pp. 395-404

Ujjwal Das and Ranojoy Basu

Probability Proofs for Stirling (and More): The Ubiquitous Role of 2π pp. 405-412

Nils Lid Hjort and Emil Aas Stoltenberg

Shared Ancestors and the Birthday Problem pp. 413-422

Lily Agranat-Tamir, Kennedy D. Agwamba, Jazlyn A. Mooney and Noah A. Rosenberg

Bad Estimation, Good Prediction: The Lasso in Dense Regimes pp. 423-431

Andrea Bratsberg, Magne Thoresen and Jelle J. Goeman

Momentum Effects in Team Sports: Analyzing the Interplay between Offense and Defense in the NBA pp. 432-442

David Winkelmann and Rouven Michels

Beyond the Yard Line: Accommodating Rounded Sports Data in Statistical Models pp. 443-452

Amanda K. Glazer, Layla Parast and Mevin B. Hooten

A Multivariate Fractional Hawkes Process for Multiple Earthquake Mainshock Aftershock Sequences pp. 453-462

Louis Davis, Boris Baeumer and Ting Wang

Applied Statistical Methods: Including Nonparametric and Bayesian Approaches pp. 463-464

Inhan Kang

Scientific Data Analysis with R: Biostatistical Applications pp. 465-465

Ryan A. Peterson

An Advanced Course in Probability and Stochastic Processes (by Dirk P. Kroese and Zdravko I. Botev) pp. 466-467

Samantha Leorato

Volume 80, issue 2, 2026

The Effects of Major League Baseball’s Ban on Infield Shifts: A Quasi-Experimental Analysis pp. 193-203

Lee Kennedy-Shaffer

Invariant Measures of Disagreement with Stochastic Dominance pp. 204-216

E. del Barrio, J. A. Cuesta-Albertos and C. Matrán

Flexible Bayesian Multiple Comparison Adjustment Using Dirichlet Process and Beta-Binomial Model Priors pp. 217-231

Don van den Bergh and Fabian Dablander

Linear Model Estimation and Prediction for p > n pp. 232-240

Ronald Christensen

Nonparametric Block Bootstrap Kolmogorov-Smirnov Goodness-of-Fit Test pp. 241-248

Mathew Chandy, Elizabeth D. Schifano, Jun Yan and Xianyang Zhang

The Storyboard: A Tool to Synthesize, Reflect On, and Write About Data Investigations pp. 249-257

Sara Stoudt and Deborah Nolan

Probabilistic Parameter Estimates that Require Less Small Print pp. 258-264

James A. Hanley

Forecasting Future Eruptions Using Hierarchical Trend Renewal Processes pp. 265-276

Joel Carman, Ting Wang, Mark Bebbington, Shane Cronin, Marco Brenna and Ingrid Ukstins

A Design for Observational Studies in Which Some People Avoid Treatment pp. 277-285

Paul R. Rosenbaum

A Comparative Analysis of Phase I Dose-Finding Designs Incorporating Pharmacokinetics Information pp. 286-300

Axel Vuorinen, Emmanuelle Comets and Moreno Ursino

L1 Prominence Measures for Directed Graphs pp. 301-309

Seungwoo Kang and Hee-Seok Oh

On the Metricity of the Chatterjee Correlation Coefficient pp. 310-317

Flavio Chierichetti, Mirko Giacchini and Ravi Kumar

Visualizing Kendall’s τ and Hidden Structures in Ranked Data pp. 318-326

Nicholas D. Edwards, Enzo de Jong, Feng Liu and Stephen T. Ferguson

Multivariate Statistics: Classical Foundations and Modern Machine Learning pp. 327-328

Dankmar Böhning

Applied Statistics with Python: Volume I: Introductory Statistics and Regression pp. 329-329

Maria Iannario

Introduction to Political Analysis in R pp. 330-330

Cory McCartan

Volume 80, issue 1, 2026

Forest Expression of Networks and their Applications pp. 1-14

Yipeng Wang and Peihua Qiu

The Loser’s Curse and the Critical Role of the Utility Function pp. 15-30

Ryan S. Brill and Abraham J. Wyner

Handling Missingness, Failures, and Non-Convergence in Simulation Studies: A Review of Current Practices and Recommendations pp. 31-48

Samuel Pawel, František Bartoš, Björn S. Siepe and Anna Lohmann

Conceptualizing Experimental Controls Using the Potential Outcomes Framework pp. 49-60

Kristen B. Hunter, Kristen Koenig and Marie-Abèle Bind

American Football Scores: Using Partially Regularized Ordinal Regression to Adjust for Strength of Opponents, Within-Team Complementary Unit Performance pp. 61-76

Andrey Skripnikov and Sujit Sivadanam

LASSO-Based Survival Prediction Modeling with Multiply Imputed Data: A Case Study in Tuberculosis Mortality Prediction pp. 77-88

Md. Belal Hossain, Mohsen Sadatsafavi, James C. Johnston, Hubert Wong, Victoria J. Cook and Mohammad Ehsanul Karim

A Statistical Approach to Latent Dynamic Modeling with Differential Equations pp. 89-99

Maren Hackenberg, Astrid Pechmann, Clemens Kreutz, Janbernd Kirschner and Harald Binder

Effective Sample Size for the Kaplan-Meier Estimator: A Valuable Measure of Uncertainty? pp. 100-108

Toby Hackmann, Doranne Thomassen, Anne M. Stiggelbout, Saskia le Cessie, Hein Putter, Liesbeth C. de Wreede and Ewout W. Steyerberg

Multivariate Disaggregation Modeling of Air Pollutants: A Case-Study of PM2.5, PM10 and Ozone Prediction in Portugal and Italy pp. 109-134

Fernando Rodriguez Avellaneda, Erick A. Chacón-Montalván and Paula Moraga

Simplifying Random Forests’ Probabilistic Forecasts pp. 135-145

Nils Koster and Fabian Krüger

A Fisher’s Exact Test Justification of the TF–IDF Term-Weighting Scheme pp. 146-156

Paul Sheridan, Zeyad Ahmed and Aitazaz A. Farooque

Explainable Linear and Generalized Linear Models by the Predictions Plot pp. 157-163

Peter J. Rousseeuw

A Comparison of DeepSeek and other LLMs pp. 164-176

Tianchen Gao, Jiashun Jin, Zheng Tracy Ke and Gabriel Moryoussef

Abraham Wald and the Origins of the Sequential Probability Ratio Test pp. 177-183

Joel B. Greenhouse and Christopher J. Phillips

Moving Forward From the COVID-19 Pandemic pp. 184-187

David M. Steinberg, Geert Molenberghs, Arne C. Bathke, Ralph Brinks, Amit Huppert, Filomena Maggino and Bhramar Mukherjee

Introduction to Regression Methods for Public Health Using R pp. 188-190

Rachel Heyard

Exploring Complex Survey Data Analysis Using R: A Tidy Introduction with {srvyr} and {survey} pp. 190-191

Kelly S. McConville