The American Statistician

2012 - 2025

Continuation of The American Statistician.

Current editor(s): Eric Sampson

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Volume 75, issue 4, 2021

Comparing Covariate Prioritization via Matching to Machine Learning Methods for Causal Inference Using Five Empirical Applications pp. 355-363

Luke Keele and Dylan S. Small

The Classical Occupancy Distribution: Computation and Approximation pp. 364-375

Ben O’Neill

The Short-Term and Long-Term Hazard Ratio Model: Parameterization Inconsistency pp. 376-382

Philippe Flandre and John O’Quigley

Hurdle Blockmodels for Sparse Network Modeling pp. 383-393

Narges Motalebi, Nathaniel T. Stevens and Stefan H. Steiner

Random number generators produce collisions: Why, how many and more pp. 394-402

Marius Hofert

Learning Hamiltonian Monte Carlo in R pp. 403-413

Samuel Thomas and Wanzhu Tu

Pairwise Comparisons Using Ranks in the One-Way Model pp. 414-423

Dennis D. Boos and Siyu Duan

A Review of Bayesian Perspectives on Sample Size Derivation for Confirmatory Trials pp. 424-432

Kevin Kunzmann, Michael J. Grayling, Kim May Lee, David S. Robertson, Kaspar Rufibach and James M. S. Wason

Facilitating Authentic Practice for Early Undergraduate Statistics Students pp. 433-444

Peter E. Freeman

The Impact of Application of the Jackknife to the Sample Median pp. 445-449

Jianning Yang and John E. Kolassa

Beyond Multiple Linear Regression: Applied Generalized Linear Models and Multilevel Models in R pp. 450-451

Youjin Lee

Probability and Statistical Inference: From Basic Principles to Advanced Models pp. 451-453

Gabriel J. Young

Textual Data Science with R pp. 453-454

Kenneth R. Benoit

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 Wu pp. 455-457

Paul Vos and Qiang Wu

Response to Letter to the Editor: Zhang, J. (2021) pp. 458-458

Jin Zhang

Volume 75, issue 3, 2021

Statistical Challenges in Agent-Based Modeling pp. 235-242

David L. Banks and Mevin B. Hooten

A Prediction Tournament Paradox pp. 243-248

David J. Aldous

Null Hypothesis Significance Testing Defended and Calibrated by Bayesian Model Checking pp. 249-255

David R. Bickel

Connecting and Contrasting the Bayes Factor and a Modified ROPE Procedure for Testing Interval Null Hypotheses pp. 256-264

J. G. Liao, Vishal Midya and Arthur Berg

Reconnecting p-Value and Posterior Probability Under One- and Two-Sided Tests pp. 265-275

Haolun Shi and Guosheng Yin

Improving Effect Estimates by Limiting the Variability in Inverse Propensity Score Weights pp. 276-287

Keith Kranker, Laura Blue and Lauren Vollmer Forrow

The Exact Form of the “Ockham Factor” in Model Selection pp. 288-293

Jonathan Rougier and Carey E. Priebe

Adjusting Published Estimates for Exploratory Biases Using the Truncated Normal Distribution pp. 294-299

Travis Loux and Orlando Davy

Learning Temporal Structures of Random Patterns by Generating Functions pp. 300-309

Yanlong Sun and Hongbin Wang

A Set of Efficient Methods to Generate High-Dimensional Binary Data With Specified Correlation Structures pp. 310-322

Wei Jiang, Shuang Song, Lin Hou and Hongyu Zhao

On Being an Ethical Statistical Expert in a Legal Case pp. 323-333

William B. Fairley and William A. Huber

From One Environment to Many: The Problem of Replicability of Statistical Inferences pp. 334-342

James J. Higgins, Michael J. Higgins and Jinguang Lin

Illustrating Randomness in Statistics Courses With Spatial Experiments pp. 343-353

Amanda S. Hering, Luke Durell and Grant Morgan

Reviewof Books and Teaching Materials pp. 354-354

Yen-Chi Chen

Volume 75, issue 2, 2021

The Mean Relative Entropy: An Invariant Measure of Estimation Error pp. 117-123

Jin Zhang

Slugging Percentage Is Not a Percentage—And Why That Matters pp. 124-127

Douglas VanDerwerken

Toward Replicability With Confidence Intervals for the Exceedance Probability pp. 128-138

Brian D. Segal

A Problem of Distributive Justice, Solved by the Lasso pp. 139-144

Philip T. Reiss

A Robustified Posterior for Bayesian Inference on a Large Number of Parallel Effects pp. 145-151

J. G. Liao, Arthur Berg and Timothy L. McMurry

Bayes Factors for Testing Order Constraints on Variances of Dependent Outcomes pp. 152-161

Florian Böing-Messing and Joris Mulder

Visually Communicating and Teaching Intuition for Influence Functions pp. 162-172

Aaron Fisher and Edward H. Kennedy

Does Home Health Care Increase the Probability of 30-Day Hospital Readmissions? Interpreting Coefficient Sign Reversals, or Their Absence, in Binary Logistic Regression Analysis pp. 173-184

Alecos Papadopoulos and Roland B. Stark

Making Recursive Bayesian Inference Accessible pp. 185-194

Mevin B. Hooten, Devin S. Johnson and Brian M. Brost

Harmonizing Optimized Designs With Classic Randomization in Experiments pp. 195-206

Adam Kapelner, Abba M. Krieger, Michael Sklar, Uri Shalit and David Azriel

March Madness “Anomalies”: Are They Real, and If So, Can They Be Explained? pp. 207-216

Dale L. Zimmerman, Nathan D. Zimmerman and Joshua T. Zimmerman

The Lorenz Curve in the Classroom pp. 217-225

Roberta La Haye and Petr Zizler

Further Examples Related to Correlations Between Variables and Ranks pp. 226-229

Chunming Zhang

The Model Thinker: What You Need to Know to Make Data Work for You pp. 230-231

Edward L. Boone

SAS for Mixed Models: Introduction and Basic Applications pp. 231-231

Christine R. Wells

x + y: A Mathematician's Manifesto for Rethinking Gender pp. 232-233

Christina P. Knudson

Volume 75, issue 1, 2021

Intuition for an Old Curiosity and an Implication for MCMC pp. 1-6

Michael Lavine and Jim Hodges

Exact Bayes Factors for the Comparison of Multinomial Distributions pp. 7-14

Rudy Ligtvoet

The Price is Right: Analyzing Bidding Behavior on Contestants’ Row pp. 15-22

Paul Kvam

Testing for Positive Quadrant Dependence pp. 23-30

Chuan-Fa Tang, Dewei Wang, Hammou El Barmi and Joshua M. Tebbs

Hypothesis Testing in Presence of Adversaries pp. 31-40

J. González-Ortega, D. Ríos Insua, F. Ruggeri and R. Soyer

Objective Bayesian testing for the correlation coefficient under divergence-based priors pp. 41-51

Bo Peng and Min Wang

Sampling Strategies for Fast Updating of Gaussian Markov Random Fields pp. 52-65

D. Andrew Brown, Christopher S. McMahan and Stella Watson Self

Optimizing Sample Size Allocation and Power in a Bayesian Two-Stage Drop-the-Losers Design pp. 66-75

Alex Karanevich, Richard Meier, Stefan Graw, Anna McGlothlin and Byron Gajewski

Assumption Lean Regression pp. 76-84

Richard Berk, Andreas Buja, Lawrence Brown, Edward George, Arun Kumar Kuchibhotla, Weijie Su and Linda Zhao

Correction of Survival Bias in a Study About Increased Mortality of Heads of Government pp. 85-91

Julian Fecker, Martin Schumacher, Kristin Ohneberg and Martin Wolkewitz

Modeling Response Time to Structure Fires pp. 92-100

Madison Arnsbarger, Joshua Goldstein, Claire Kelling, Gizem Korkmaz and Sallie Keller

A Probabilistic Approach to The Moments of Binomial Random Variables and Application pp. 101-103

Duy Nguyen

Null Hypothesis Significance Testing Interpreted and Calibrated by Estimating Probabilities of Sign Errors: A Bayes-Frequentist Continuum pp. 104-112

David R. Bickel

Fundamentals of Probability with Stochastic Processes, 4th ed. Saeed Ghahramani pp. 113-114

James M. Flegal

Data Visualization: Charts, Maps, and Interactive Graphics. Robert Grant pp. 113-113

James M. Flegal

Spatio-Temporal Statistics With R pp. 114-114

Nicholas W. Bussberg

McCann and Habiger (2020), “The Detection of Nonnegligible Directional Effects With Associated Measures of Statistical Significance,” pp. 115-115

Roger L. Berger

Response to the Letter to the Editor on “The Detection of Nonnegligible Directional Effects With Associated Measures of Statistical Significance,” The American Statistician, 74:3, 213–217: Comment by Roger Berger pp. 116-116

Melinda H. McCann and Joshua D. Habiger