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 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

Volume 78, issue 4, 2024

Proximal MCMC for Bayesian Inference of Constrained and Regularized Estimation pp. 379-390

Xinkai Zhou, Qiang Heng, Eric C. Chi and Hua Zhou

Sequential Selection for Minimizing the Variance with Application to Crystallization Experiments pp. 391-400

Caroline M. Kerfonta, Sunuk Kim, Ye Chen, Qiong Zhang and Mo Jiang

Covariance Matrix Estimation for High-Throughput Biomedical Data with Interconnected Communities pp. 401-411

Yifan Yang, Chixiang Chen and Shuo Chen

On Point Estimators for Gamma and Beta Distributions pp. 412-417

Nickos D. Papadatos

Fitting Log-Gaussian Cox Processes Using Generalized Additive Model Software pp. 418-425

Elliot Dovers, Jakub Stoklosa and David I. Warton

Boldness-Recalibration for Binary Event Predictions pp. 426-436

Adeline P. Guthrie and Christopher T. Franck

Binomial Confidence Intervals for Rare Events: Importance of Defining Margin of Error Relative to Magnitude of Proportion pp. 437-449

Owen McGrath and Kevin Burke

Moments of the Nonnegative Adjusted Estimator of Squared Multiple Correlation pp. 450-455

Joseph F. Lucke

Thick Data Analytics (TDA): An Iterative and Inductive Framework for Algorithmic Improvement pp. 456-464

Minh Nguyen, Tiffany Eulalio, Ben J. Marafino, Christian Rose, Jonathan H. Chen and Michael Baiocchi

Tractable Bayesian Inference For An Unidentified Simple Linear Regression Model pp. 465-470

Robert Calvert Jump

Analyzing Matched 2 × 2 Tables from all Corners pp. 471-480

Marc Aerts and Geert Molenberghs

On Misuses of the Kolmogorov–Smirnov Test for One-Sample Goodness-of-Fit pp. 481-487

Anthony Zeimbekakis, Elizabeth D. Schifano and Jun Yan

Telling Stories with Data: With Applications in R pp. 488-490

Piotr Fryzlewicz

Volume 78, issue 3, 2024

Causal Quartets: Different Ways to Attain the Same Average Treatment Effect pp. 267-272

Andrew Gelman, Jessica Hullman and Lauren Kennedy

Melded Confidence Intervals Do Not Provide Guaranteed Coverage pp. 273-279

Jesse Frey and Yimin Zhang

One-Step Weighting to Generalize and Transport Treatment Effect Estimates to a Target Population pp. 280-289

Ambarish Chattopadhyay, Eric R. Cohn and José R. Zubizarreta

A Note on Monte Carlo Integration in High Dimensions pp. 290-296

Yanbo Tang

Hitting a Prime by Rolling a Die with Infinitely Many Faces pp. 297-303

Shane Chern

Using Conformal Win Probability to Predict the Winners of the Canceled 2020 NCAA Basketball Tournaments pp. 304-317

Chancellor Johnstone and Dan Nettleton

Prioritizing Variables for Observational Study Design using the Joint Variable Importance Plot pp. 318-326

Lauren D. Liao, Yeyi Zhu, Amanda L. Ngo, Rana F. Chehab and Samuel D. Pimentel

On the Term “Randomization Test” pp. 327-334

Jesse Hemerik

Understanding the Implications of a Complete Case Analysis for Regression Models with a Right-Censored Covariate pp. 335-344

Marissa C. Ashner and Tanya P. Garcia

Parole Board Decision-Making using Adversarial Risk Analysis pp. 345-358

Chaitanya Joshi, Charné Nel, Javier Cano and Devon L.L. Polaschek

Introducing Variational Inference in Statistics and Data Science Curriculum pp. 359-367

Vojtech Kejzlar and Jingchen Hu

Lessons from a Discussion-Based Course on the History of Statistics pp. 368-374

David B. Hitchcock

Statistical Theory: A Concise Introduction, 2nd ed pp. 375-375

Juan Sosa

Introduction to Statistical Modelling and Inference pp. 376-377

Nianpin Cheng and Beth Chance

Volume 78, issue 2, 2024

Statistical Challenges in Online Controlled Experiments: A Review of A/B Testing Methodology pp. 135-149

Nicholas Larsen, Jonathan Stallrich, Srijan Sengupta, Alex Deng, Ron Kohavi and Nathaniel T. Stevens

Multiple-Model-based Robust Estimation of Causal Treatment Effect on a Binary Outcome with Integrated Information from Secondary Outcomes pp. 150-160

Chixiang Chen, Shuo Chen, Qi Long, Sudeshna Das and Ming Wang

Counting the Unseen: Estimation of Susceptibility Proportions in Zero-Inflated Models Using a Conditional Likelihood Approach pp. 161-170

Wen-Han Hwang, Lu-Fang Chen and Jakub Stoklosa

Bivariate Analysis of Distribution Functions Under Biased Sampling pp. 171-179

Hsin-wen Chang and Shu-Hsiang Wang

Differentially Private Methods for Releasing Results of Stability Analyses pp. 180-191

Chengxin Yang and Jerome P. Reiter

Enhanced Inference for Finite Population Sampling-Based Prevalence Estimation with Misclassification Errors pp. 192-198

Lin Ge, Yuzi Zhang, Lance A. Waller and Robert H. Lyles

Here Comes the STRAIN: Analyzing Defensive Pass Rush in American Football with Player Tracking Data pp. 199-208

Quang Nguyen, Ronald Yurko and Gregory J. Matthews

Bayesian Detection of Bias in Peremptory Challenges Using Historical Strike Data pp. 209-219

Sachin S. Pandya, Xiaomeng Li, Eric Barón and Timothy E. Moore

Technical Validation of Plot Designs by Use of Deep Learning pp. 220-228

Anne Helby Petersen and Claus Ekstrøm

The Phistogram pp. 229-239

Adriana Verónica Blanc

Missing Data Imputation with High-Dimensional Data pp. 240-252

Alberto Brini and Edwin R. van den Heuvel

The Application of the Likelihood Ratio Test and the Cochran-Mantel-Haenszel Test to Discrimination Cases pp. 253-263

Weiwen Miao and Joseph L. Gastwirth

Deep Learning and Scientific Computing with R torch pp. 264-264

Yang Ni

An Introduction to R and Python for Data Analysis: A Side-by-Side Approach pp. 265-265

Gabriel Wallin

Volume 78, issue 1, 2024

The American Statistician 2023 Associate Editors pp. i-i

The Editors

Likelihood-Free Parameter Estimation with Neural Bayes Estimators pp. 1-14

Matthew Sainsbury-Dale, Andrew Zammit-Mangion and Raphaël Huser

Out-of-Sample R2: Estimation and Inference pp. 15-25

Stijn Hawinkel, Willem Waegeman and Steven Maere

Inverse Probability Weighting Estimation in Completely Randomized Experiments pp. 26-35

Biao Zhang

A Characterization of Most(More) Powerful Test Statistics with Simple Nonparametric Applications pp. 36-46

Albert Vexler and Alan D. Hutson

Evidential Calibration of Confidence Intervals pp. 47-57

Samuel Pawel, Alexander Ly and Eric-Jan Wagenmakers

Confidence Distributions for the Autoregressive Parameter pp. 58-65

Rolf Larsson

Play Call Strategies and Modeling for Target Outcomes in Football pp. 66-75

Preston Biro and Stephen G. Walker

Sensitivity Analyses of Clinical Trial Designs: Selecting Scenarios and Summarizing Operating Characteristics pp. 76-87

Larry Han, Andrea Arfè and Lorenzo Trippa

Semi-Structured Distributional Regression pp. 88-99

David Rügamer, Chris Kolb and Nadja Klein

Hidden Markov Models for Low-Frequency Earthquake Recurrence pp. 100-110

Jessica Allen and Ting Wang

First-Passage Times for Random Partial Sums: Yadrenko’s Model for e and Beyond pp. 111-114

Joel E. Cohen

Learning to Forecast: The Probabilistic Time Series Forecasting Challenge pp. 115-127

Johannes Bracher, Nils Koster, Fabian Krüger and Sebastian Lerch

Applied Linear Regression for Longitudinal Data: With an Emphasis on Missing Observations pp. 128-129

Maria Francesca Marino

Introduction to Stochastic Finance with Market Examples, 2nd ed pp. 129-130

Skevi Michael

Comment on “Forbidden Knowledge and Specialized Training: A Versatile Solution for the Two Main Sources of Overfitting in Linear Regression,” by Rohlfs (2023) pp. 131-133

Ronald Christensen