The American Statistician

2012 - 2025

Continuation of The American Statistician.

Current editor(s): Eric Sampson

From Taylor & Francis Journals
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Volume 77, issue 4, 2023

Distribution-Free Location-Scale Regression pp. 345-356

Sandra Siegfried, Lucas Kook and Torsten Hothorn

Hypothesis Testing for Matched Pairs with Missing Data by Maximum Mean Discrepancy: An Application to Continuous Glucose Monitoring pp. 357-369

Marcos Matabuena, Paulo Félix, Marc Ditzhaus, Juan Vidal and Francisco Gude

Estimating the Performance of Entity Resolution Algorithms: Lessons Learned Through PatentsView.org pp. 370-380

Olivier Binette, Sokhna A York, Emma Hickerson, Youngsoo Baek, Sarvo Madhavan and Christina Jones

MOVER-R and Penalized MOVER-R Confidence Intervals for the Ratio of Two Quantities pp. 381-389

Peng Wang, Yilei Ma, Siqi Xu, Yi-Xin Wang, Yu Zhang, Xiangyang Lou, Ming Li, Baolin Wu, Guimin Gao, Ping Yin and Nianjun Liu

Hierarchical Spatio-Temporal Change-Point Detection pp. 390-400

Mehdi Moradi, Ottmar Cronie, Unai Pérez-Goya and Jorge Mateu

Revisiting the Name Variant of the Two-Children Problem pp. 401-405

Davy Paindaveine and Philippe Spindel

RafterNet: Probabilistic Predictions in Multi-Response Regression pp. 406-416

Marius Hofert, Avinash Prasad and Mu Zhu

Mapping Life Expectancy Loss in Barcelona in 2020 pp. 417-424

Xavier Puig and Josep Ginebra

Global Simulation Envelopes for Diagnostic Plots in Regression Models pp. 425-431

David I. Warton

Improved Approximation and Visualization of the Correlation Matrix pp. 432-442

Jan Graffelman and Jan de Leeuw

The Wald Confidence Interval for a Binomial p as an Illuminating “Bad” Example pp. 443-448

Per Gösta Andersson

ANOVA and Mixed Models: A Short Introduction Using R pp. 449-450

Brady T. West

Bayesian Modeling and Computation in Python pp. 450-451

P. Richard Hahn

A First Course in Linear Model Theory, 2nd ed pp. 451-451

Carlos Cinelli

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

Graph Sampling pp. 234-234

Jae-Kwang Kim

Handbook of Multiple Comparisons pp. 234-236

Junyong Park

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