The American Statistician

2012 - 2023

Continuation of The American Statistician.

Current editor(s): Eric Sampson

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Volume 77, issue 3, 2023

Statistical Guidance to Authors at Top-Ranked Journals across Scientific Disciplines pp. 239-247

Tom E. Hardwicke, Maia Salholz-Hillel, Mario Malički, Dénes Szűcs, Theiss Bendixen and John P. A. Ioannidis

Bayes Factors and Posterior Estimation: Two Sides of the Very Same Coin pp. 248-258

Harlan Campbell and Paul Gustafson

Mixture of Networks for Clustering Categorical Data: A Penalized Composite Likelihood Approach pp. 259-273

Jangsun Baek and Jeong-Soo Park

Quantifying the Inspection Paradox with Random Time pp. 274-282

Diana Rauwolf and Udo Kamps

Selection Criterion of Working Correlation Structure for Spatially Correlated Data pp. 283-291

Marcelo dos Santos, Fernanda De Bastiani, Miguel A. Uribe-Opazo and Manuel Galea

Bayesian Log-Rank Test pp. 292-300

Jiaqi Gu, Yan Zhang and Guosheng Yin

Hitting a Prime in 2.43 Dice Rolls (On Average) pp. 301-303

Noga Alon and Yaakov Malinovsky

A Comparison of Bayesian Multivariate Versus Univariate Normal Regression Models for Prediction pp. 304-312

Xun Li, Joyee Ghosh and Gabriele Villarini

A Look into the Problem of Preferential Sampling through the Lens of Survey Statistics pp. 313-322

Daniel Vedensky, Paul A. Parker and Scott H. Holan

Integrating Ethics into the Guidelines for Assessment and Instruction in Statistics Education (GAISE) pp. 323-330

Rameela Raman, Jessica Utts, Andrew I. Cohen and Matthew J. Hayat

Consultancy Style Dissertations in Statistics and Data Science: Why and How pp. 331-339

Serveh Sharifi Far, Vanda Inácio, Daniel Paulin, Miguel de Carvalho, Nicole H. Augustin, Mike Allerhand and Gail Robertson

Event History Analysis with R, 2nd ed pp. 340-341

Ding-Geng Chen

Bartroff, J., Lorden, G. and Wang, L. (2022), “Optimal and Fast Confidence Intervals for Hypergeometric Successes,” The American Statistician: Comment by Schilling pp. 342-342

Mark F. Schilling

Response to Comment by Schilling pp. 343-344

Jay Bartroff, Gary Lorden and Lijia Wang

Volume 77, issue 2, 2023

The State of Play of Reproducibility in Statistics: An Empirical Analysis pp. 115-126

Xin Xiong and Ivor Cribben

How Do We Perform a Paired t-Test When We Don’t Know How to Pair? pp. 127-133

Michael Grabchak

The Cauchy Combination Test under Arbitrary Dependence Structures pp. 134-142

Mingya Long, Zhengbang Li, Wei Zhang and Qizhai Li

Bayesian-Frequentist Hybrid Inference in Applications with Small Sample Sizes pp. 143-150

Gang Han, Thomas J. Santner, Haiqun Lin and Ao Yuan

Optimal and Fast Confidence Intervals for Hypergeometric Successes pp. 151-159

Jay Bartroff, Gary Lorden and Lijia Wang

Forbidden Knowledge and Specialized Training: A Versatile Solution for the Two Main Sources of Overfitting in Linear Regression pp. 160-168

Chris Rohlfs

Estimating Knee Movement Patterns of Recreational Runners Across Training Sessions Using Multilevel Functional Regression Models pp. 169-181

Marcos Matabuena, Marta Karas, Sherveen Riazati, Nick Caplan and Philip R. Hayes

Athlete Recruitment and the Myth of the Sophomore Peak pp. 182-191

Monnie McGee, Benjamin Williams and Jacy Sparks

Data Privacy Protection and Utility Preservation through Bayesian Data Synthesis: A Case Study on Airbnb Listings pp. 192-200

Shijie Guo and Jingchen Hu

Interactive Exploration of Large Dendrograms with Prototypes pp. 201-211

Andee Kaplan and Jacob Bien

A Case for Nonparametrics pp. 212-219

Roy Bower, Justin Hager, Chris Cherniakov, Samay Gupta and William Cipolli

Comment on “A Case for Nonparametrics” by Bower et al pp. 220-220

Kenneth Rice and Thomas Lumley

A Response to Rice and Lumley pp. 221-222

Roy Bower and William Cipolli

A Comparative Tutorial of Bayesian Sequential Design and Reinforcement Learning pp. 223-233

Mauricio Tec, Yunshan Duan and Peter Müller

Handbook of Multiple Comparisons pp. 234-236

Junyong Park

Graph Sampling pp. 234-234

Jae-Kwang Kim

Correction: Linearity of Unbiased Linear Model Estimators pp. 237-237

The Editors

Volume 77, issue 1, 2023

Bayesian Testing of Linear Versus Nonlinear Effects Using Gaussian Process Priors pp. 1-11

Joris Mulder

A Study on the Power Parameter in Power Prior Bayesian Analysis pp. 12-19

Zifei Han, Keying Ye and Min Wang

Coherent Tests for Interval Null Hypotheses pp. 20-28

Spencer Hansen and Ken Rice

On Arbitrarily Underdispersed Discrete Distributions pp. 29-34

Alan Huang

The Sign Test, Paired Data, and Asymmetric Dependence: A Cautionary Tale pp. 35-40

Alan D. Hutson and Han Yu

Using the Lambert Function to Estimate Shared Frailty Models with a Normally Distributed Random Intercept pp. 41-50

Hadrien Charvat

Analytical Problem Solving Based on Causal, Correlational and Deductive Models pp. 51-61

Jeroen de Mast, Stefan H. Steiner, Wim P. M. Nuijten and Daniel Kapitan

A Statistical Basis for Reporting Strength of Evidence as Pool Reduction pp. 62-71

Dan J. Spitzner

Assignment-Control Plots: A Visual Companion for Causal Inference Study Design pp. 72-84

Rachael C. Aikens and Michael Baiocchi

Black Box Variational Bayesian Model Averaging pp. 85-96

Vojtech Kejzlar, Shrijita Bhattacharya, Mookyong Son and Tapabrata Maiti

“Two Truths and a Lie” as a Class-Participation Activity pp. 97-101

Andrew Gelman

The Probability Mass Function of the Kaplan–Meier Product–Limit Estimator pp. 102-110

Yuxin Qin, Heather Sasinowska and Lawrence Leemis

Quantitative Drug Safety and Benefit-Risk Evaluation: Practical and Cross-Disciplinary Approaches pp. 111-112

Huan Wang

Object Oriented Data Analysis pp. 111-111

James O. Ramsay

Comment on “On Optimal Correlation-Based Prediction”, By Bottai et al. (2022) pp. 113-113

Stan Lipovetsky

Volume 76, issue 4, 2022

On Optimal Correlation-Based Prediction pp. 313-321

Matteo Bottai, Taeho Kim, Benjamin Lieberman, George Luta and Edsel Peña

Comment on “On Optimal Correlation-Based Prediction,” by Bottai et al. (2022) pp. 322-322

Ronald Christensen

Multiple Imputation Inference with Integer-Valued Point Estimates pp. 323-328

Bo Liu and Jerome P. Reiter

A Review of Adversarial Attack and Defense for Classification Methods pp. 329-345

Yao Li, Minhao Cheng, Cho-Jui Hsieh and Thomas C. M. Lee

A New Transformation of Treated-Control Matched-Pair Differences for Graphical Display pp. 346-352

Paul R. Rosenbaum

Bias Analysis for Misclassification Errors in both the Response Variable and Covariate pp. 353-362

Juxin Liu, Annshirley Afful, Holly Mansell and Yanyuan Ma

The “Poisson” Distribution: History, Reenactments, Adaptations pp. 363-371

James A. Hanley and Sahir Bhatnagar

Linearity of Unbiased Linear Model Estimators pp. 372-375

Stephen Portnoy

Statistical Inference for Method of Moments Estimators of a Semi-Supervised Two-Component Mixture Model pp. 376-383

Bradley Lubich, Daniel Jeske and Weixin Yao

A Practical Approach to Proper Inference with Linked Data pp. 384-393

Andee Kaplan, Brenda Betancourt and Rebecca C. Steorts

Inference in Experiments Conditional on Observed Imbalances in Covariates pp. 394-404

Per Johansson and Mattias Nordin

The Current State of Undergraduate Bayesian Education and Recommendations for the Future pp. 405-413

Mine Dogucu and Jingchen Hu

From Black Box to Shining Spotlight: Using Random Forest Prediction Intervals to Illuminate the Impact of Assumptions in Linear Regression pp. 414-429

Andrew J. Sage, Yang Liu and Joe Sato

Probability, Statistics, and Data: A Fresh Approach Using R pp. 430-430

Scott A. Roths

Statistical Issues in Drug Development, 3rd ed pp. 431-431

Jie Cui and Haoda Fu

Volume 76, issue 3, 2022

Bayes Factors Based on p-Values and Sets of Priors With Restricted Strength pp. 203-213

Brendan Kline

Evaluating Real-Time Probabilistic Forecasts With Application to National Basketball Association Outcome Prediction pp. 214-223

Chi-Kuang Yeh, Gregory Rice and Joel A. Dubin

Comparative Probability Metrics: Using Posterior Probabilities to Account for Practical Equivalence in A/B tests pp. 224-237

Nathaniel T. Stevens and Luke Hagar

Spatial Confounding in Generalized Estimating Equations pp. 238-247

Francis K. C. Hui and Howard D. Bondell

Expressing Regret: A Unified View of Credible Intervals pp. 248-256

Kenneth Rice and Lingbo Ye

A Study on Estimating the Parameter of the Truncated Geometric Distribution pp. 257-261

Chanseok Park, Kun Gou and Min Wang

Incorporating Minimum Variances into Weighted Optimality Criteria pp. 262-269

Katherine Allen-Moyer and Jonathan Stallrich

Using Differentiable Programming for Flexible Statistical Modeling pp. 270-279

Maren Hackenberg, Marlon Grodd, Clemens Kreutz, Martina Fischer, Janina Esins, Linus Grabenhenrich, Christian Karagiannidis and Harald Binder

On Generating Distributions with the Memoryless Property pp. 280-285

Kimihiro Noguchi and Koby F. Robles

Alpha Seminar: A Course for New Graduate Students in Statistics pp. 286-291

Christopher R. Bilder

Demystifying Statistical Learning Based on Efficient Influence Functions pp. 292-304

Oliver Hines, Oliver Dukes, Karla Diaz-Ordaz and Stijn Vansteelandt

Data Monitoring Committees in Clinical Trials: A Practical Perspective pp. 305-306

Chris Barker

Leadership in Statistics and Data Science: Planning for Inclusive Excellence pp. 306-307

Emilija Perković

Comment on “On the Power of the F-test for Hypotheses in a Linear Model,” by Griffiths and Hill (2022) pp. 308-309

David A. Harville

Comment on “On the Power of the F-test for Hypotheses in a Linear Model” by Griffiths and Hill (2022) pp. 310-311

Ronald Christensen

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) pp. 312-312

William E. Griffiths and Carter Hill

Volume 76, issue 2, 2022

Variable Selection With Second-Generation P-Values pp. 91-101

Yi Zuo, Thomas G. Stewart and Jeffrey D. Blume

A Generalization of the Savage–Dickey Density Ratio for Testing Equality and Order Constrained Hypotheses pp. 102-109

Joris Mulder, Eric-Jan Wagenmakers and Maarten Marsman

Bang the Can Slowly: An Investigation into the 2017 Houston Astros pp. 110-116

Ryan Elmore and Gregory J. Matthews

The Case-Control Approach Can be More Powerful for Matched Pair Observational Studies When the Outcome is Rare pp. 117-123

Wei Wang, Dylan S. Small, Guy Cafri and Elizabeth W. Paxton

Pseudo-Ranks: The Better Way of Ranking? pp. 124-130

Georg Zimmermann, Edgar Brunner, Werner Brannath, Martin Happ and Arne C. Bathke

Publication Policies for Replicable Research and the Community-Wide False Discovery Rate pp. 131-141

Joshua Habiger and Ye Liang

Statistical Implications of Endogeneity Induced by Residential Segregation in Small-Area Modeling of Health Inequities pp. 142-151

Rachel C. Nethery, Jarvis T. Chen, Nancy Krieger, Pamela D. Waterman, Emily Peterson, Lance A. Waller and Brent A. Coull

COVID-19 Pandemic as a Change Agent in the Structure and Practice of Statistical Consulting Centers pp. 152-158

Shing Lee, Emilia Bagiella, Roger Vaughan, Usha Govindarajulu, Paul Christos, Denise Esserman, Hua Zhong and Mimi Kim

On Deconfounding Spatial Confounding in Linear Models pp. 159-167

Dale L. Zimmerman and Jay M. Ver Hoef

Comparing Three Groups pp. 168-176

Jelle J. Goeman and Aldo Solari

Re-exploring the Penney-Ante Game pp. 177-183

Sushil Kumar Singh, Neelkanth Rawat, Sargun Singh and Savinder Kaur

Pairwise Independence May Not Imply Independence: New Illustrations and a Generalization pp. 184-187

Nitis Mukhopadhyay

A Survey of Bias in Machine Learning Through the Prism of Statistical Parity pp. 188-198

Philippe Besse, Eustasio del Barrio, Paula Gordaliza, Jean-Michel Loubes and Laurent Risser

Bayesian Analysis of Infectious Diseases: COVID-19 and Beyond pp. 199-199

Qiwei Li

Statistics in Medicine pp. 199-200

Weixiao Dai and Toshimitsu Hamasaki

The Impact of Application of the Jackknife to the Sample Median pp. 201-201

The Editors

Volume 76, issue 1, 2022

A Proposal for Informative Default Priors Scaled by the Standard Error of Estimates pp. 1-9

Erik van Zwet and Andrew Gelman

Computing (Bivariate) Poisson Moments Using Stein–Chen Identities pp. 10-15

Christian H. Weiß and Boris Aleksandrov

Calculating Sample Size for Follmann’s Simple Multivariate Test for One-Sided Alternatives pp. 16-21

Matthew J. McIntosh

Bayesian Inference Is Unaffected by Selection: Fact or Fiction? pp. 22-28

David A. Harville

Difference Between Binomial Proportions Using Newcombe’s Method With Multiple Imputation for Incomplete Data pp. 29-36

Yulia Sidi and Ofer Harel

Reconstructing the Kaplan–Meier Estimator as an M-estimator pp. 37-43

Jiaqi Gu, Yiwei Fan and Guosheng Yin

Myths About Linear and Monotonic Associations: Pearson’s r, Spearman’s ρ, and Kendall’s τ pp. 44-52

Edwin van den Heuvel and Zhuozhao Zhan

When Your Permutation Test is Doomed to Fail pp. 53-63

William F. Christensen and Brinley N. Zabriskie

A Bayesian Spatial Analysis of the Heterogeneity in Human Mobility Changes During the First Wave of the COVID-19 Epidemic in the United States pp. 64-72

Giulia Carella, Javier Pérez Trufero, Miguel Álvarez and Jorge Mateu

A Geometric Derivation of the Cantor Distribution pp. 73-77

Brett Presnell

On the Power of the F-test for Hypotheses in a Linear Model pp. 78-84

William E. Griffiths and Carter Hill

Exploratory Data Analysis with MATLAB, 3rd ed., by Wendy L. Martinez, Angel R. Martinez, and Jeffrey L. Solka pp. 85-86

Yang Ni

Do Dice Play God? The Mathematics of Uncertainty, by Ian Stewart pp. 85-85

James M. Flegal

The Phantom Pattern Problem: The Mirage of Big Data pp. 86-87

Emilija Perković

Statistics for Making Decisions pp. 87-88

Angelika M. Stefan

A Connection Between Baseball and Clinical Trials Found in “Slugging Percentage is Not a Percentage—And Why That Matters” pp. 89-89

Byron J. Gajewski, Jo A. Wick and Truman J. Milling