The American Statistician

2012 - 2025

Continuation of The American Statistician.

Current editor(s): Eric Sampson

From Taylor & Francis Journals
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Volume 73, issue S1, 2019

Moving to a World Beyond “p pp. 1-19

Ronald L. Wasserstein, Allen L. Schirm and Nicole A. Lazar

What Have We (Not) Learnt from Millions of Scientific Papers with P Values? pp. 20-25

John P. A. Ioannidis

Why is Getting Rid of P-Values So Hard? Musings on Science and Statistics pp. 26-30

Steven N. Goodman

Will the ASA's Efforts to Improve Statistical Practice be Successful? Some Evidence to the Contrary pp. 31-35

Raymond Hubbard

Correcting Corrupt Research: Recommendations for the Profession to Stop Misuse of p-Values pp. 36-45

John L. Kmetz

Quality Control for Scientific Research: Addressing Reproducibility, Responsiveness, and Relevance pp. 46-55

Douglas W. Hubbard and Alicia L. Carriquiry

The Role of Expert Judgment in Statistical Inference and Evidence-Based Decision-Making pp. 56-68

Naomi C. Brownstein, Thomas A. Louis, Anthony O’Hagan and Jane Pendergast

Expert Knowledge Elicitation: Subjective but Scientific pp. 69-81

Anthony O’Hagan

Before p pp. 82-90

Lee Kennedy-Shaffer

The Limited Role of Formal Statistical Inference in Scientific Inference pp. 91-98

Raymond Hubbard, Brian D. Haig and Rahul A. Parsa

Large-Scale Replication Projects in Contemporary Psychological Research pp. 99-105

Blakeley B. McShane, Jennifer L. Tackett, Ulf Böckenholt and Andrew Gelman

Valid P-Values Behave Exactly as They Should: Some Misleading Criticisms of P-Values and Their Resolution With S-Values pp. 106-114

Sander Greenland

The p-Value Requires Context, Not a Threshold pp. 115-117

Rebecca A. Betensky

Assessing Statistical Results: Magnitude, Precision, and Model Uncertainty pp. 118-121

Andrew A. Anderson

Putting the P-Value in its Place pp. 122-128

Joachim I. Krueger and Patrick R. Heck

Evidence From Marginally Significant t Statistics pp. 129-134

Valen E. Johnson

The p-value Function and Statistical Inference pp. 135-147

D. A. S. Fraser

p-Values, Bayes Factors, and Sufficiency pp. 148-151

Jonathan Rougier

Limitations of P-Values and R-squared for Stepwise Regression Building: A Fairness Demonstration in Health Policy Risk Adjustment pp. 152-156

Sherri Rose and Thomas G. McGuire

An Introduction to Second-Generation p-Values pp. 157-167

Jeffrey D. Blume, Robert A. Greevy, Valerie F. Welty, Jeffrey R. Smith and William D. Dupont

A Proposed Hybrid Effect Size Plus p-Value Criterion: Empirical Evidence Supporting its Use pp. 168-185

William M. Goodman, Susan E. Spruill and Eugene Komaroff

Three Recommendations for Improving the Use of p-Values pp. 186-191

Daniel Benjamin and James O. Berger

The False Positive Risk: A Proposal Concerning What to Do About p-Values pp. 192-201

David Colquhoun

Moving Towards the Post p pp. 202-212

Robert A. J. Matthews

Blending Bayesian and Classical Tools to Define Optimal Sample-Size-Dependent Significance Levels pp. 213-222

Mark Andrew Gannon, Carlos Alberto de Bragança Pereira and Adriano Polpo

How Effect Size (Practical Significance) Misleads Clinical Practice: The Case for Switching to Practical Benefit to Assess Applied Research Findings pp. 223-234

Stanley Pogrow

Abandon Statistical Significance pp. 235-245

Blakeley B. McShane, David Gal, Andrew Gelman, Christian Robert and Jennifer L. Tackett

Statistical Inference Enables Bad Science; Statistical Thinking Enables Good Science pp. 246-261

Christopher Tong

Inferential Statistics as Descriptive Statistics: There Is No Replication Crisis if We Don’t Expect Replication pp. 262-270

Valentin Amrhein, David Trafimow and Sander Greenland

The New Statistics for Better Science: Ask How Much, How Uncertain, and What Else Is Known pp. 271-280

Robert J. Calin-Jageman and Geoff Cumming

How Large Are Your G-Values? Try Gosset’s Guinnessometrics When a Little “p” Is Not Enough pp. 281-290

Stephen Ziliak

Predictive Inference and Scientific Reproducibility pp. 291-295

Dean Billheimer

Treatment Choice With Trial Data: Statistical Decision Theory Should Supplant Hypothesis Testing pp. 296-304

Charles Manski

Trial Size for Near-Optimal Choice Between Surveillance and Aggressive Treatment: Reconsidering MSLT-II pp. 305-311

Charles Manski and Aleksey Tetenov

Frequentist, Bayes, or Other? pp. 312-318

Michael Lavine

Inference and Decision Making for 21st-Century Drug Development and Approval pp. 319-327

Stephen J. Ruberg, Frank E. Harrell, Margaret Gamalo-Siebers, Lisa LaVange, J. Jack Lee, Karen Price and Carl Peck

Multiple Perspectives on Inference for Two Simple Statistical Scenarios pp. 328-339

Noah N. N. van Dongen, Johnny B. van Doorn, Quentin F. Gronau, Don van Ravenzwaaij, Rink Hoekstra, Matthias N. Haucke, Daniel Lakens, Christian Hennig, Richard D. Morey, Saskia Homer, Andrew Gelman, Jan Sprenger and Eric-Jan Wagenmakers

Five Nonobvious Changes in Editorial Practice for Editors and Reviewers to Consider When Evaluating Submissions in a Post p pp. 340-345

David Trafimow

The Impact of Results Blind Science Publishing on Statistical Consultation and Collaboration pp. 346-351

Joseph J. Locascio

Coup de Grâce for a Tough Old Bull: “Statistically Significant” Expires pp. 352-357

Stuart H. Hurlbert, Richard A. Levine and Jessica Utts

The World of Research Has Gone Berserk: Modeling the Consequences of Requiring “Greater Statistical Stringency” for Scientific Publication pp. 358-373

Harlan Campbell and Paul Gustafson

Assessing the Statistical Analyses Used in Basic and Applied Social Psychology After Their p-Value Ban pp. 374-384

Ronald D. Fricker, Katherine Burke, Xiaoyan Han and William H. Woodall

Content Audit for p-value Principles in Introductory Statistics pp. 385-391

Karsten Maurer, Lynette Hudiburgh, Lisa Werwinski and John Bailer

Beyond Calculations: A Course in Statistical Thinking pp. 392-401

E. Ashley Steel, Martin Liermann and Peter Guttorp

Volume 73, issue 4, 2019

Test for Trend With a Multinomial Outcome pp. 313-320

Aniko Szabo

A Five-Decision Testing Procedure to Infer the Value of a Unidimensional Parameter pp. 321-326

Aaron McDaid, Zoltán Kutalik and Valentin Rousson

A Bayes Factor for Replications of ANOVA Results pp. 327-339

Christopher Harms

Bias Reduction in Logistic Regression with Missing Responses When the Missing Data Mechanism is Nonignorable pp. 340-349

Arnab Kumar Maity, Vivek Pradhan and Ujjwal Das

Power and Sample Size for Fixed-Effects Inference in Reversible Linear Mixed Models pp. 350-359

Yueh-Yun Chi, Deborah H. Glueck and Keith E. Muller

A Comparative Review of Nonparametric Statistics Textbooks pp. 360-366

Alice Richardson

Demystifying the Integrated Tail Probability Expectation Formula pp. 367-374

Ambrose Lo

Key Attributes of a Modern Statistical Computing Tool pp. 375-384

Amelia McNamara

Modeling Efficiency of Foreign Aid Allocation in Malawi pp. 385-399

Philip A. White, Candace Berrett, E. Shannon Neeley-Tass and Michael G. Findley

We Stand on the Shoulders of Giants—Pioneers of Statistics in Industry pp. 400-407

Ronald D. Snee

On the Mean Value Theorem for Estimating Functions pp. 408-410

Alexandre Galvão Patriota

Comment on VanDerwerken (2019) pp. 411-412

Jesse Frey

The Other Arbitrary Cutoff pp. 413-414

Peter Bacchetti

Handbook of Educational Measurement and Psychometrics Using R pp. 415-416

Anelise G. Sabbag

Randomistas: How Radical Researchers Are Changing Our World pp. 416-417

Megan D. Higgs

Stochastic Processes: From Applications to Theory pp. 418-419

Christian Litterer

Correction pp. 420-420

The Editors

Editorial Collaborators pp. 420-421

The Editors

Volume 73, issue 3, 2019

Disease Mapping With Generative Models pp. 213-223

Feifei Wang, Jian Wang, Alan E. Gelfand and Fan Li

Evaluating Wikipedia as a Self-Learning Resource for Statistics: You Know They'll Use It pp. 224-231

Peter K. Dunn, Margaret Marshman and Robert McDougall

A Cheap Trick to Improve the Power of a Conservative Hypothesis Test pp. 232-242

Thomas J. Fisher and Michael W. Robbins

What Properties Might Statistical Inferences Reasonably be Expected to Have?—Crisis and Resolution in Statistical Inference pp. 243-252

Geoffrey K. Robinson

Who Wants to be a Statistician? An Analysis of ACT-Tested Public School Students pp. 253-263

Jeff Allen

The Analysis of Survey Data with Framing Effects pp. 264-272

Jacob Goldin and Daniel Reck

Inducing Any Feasible Level of Correlation to Bivariate Data With Any Marginals pp. 273-277

Hakan Demirtas

Sharpening Jensen's Inequality pp. 278-281

J. G. Liao and Arthur Berg

Practical Teaching Strategies for Hypothesis Testing pp. 282-287

Ryoungsun Park

Exploring the Equivalence of Two Common Mixture Models for Duration Data pp. 288-295

Peter S. Fader, Bruce G. S. Hardie, Daniel McCarthy and Ramnath Vaidyanathan

Joint Clustering With Correlated Variables pp. 296-306

Hongmei Zhang, Yubo Zou, Will Terry, Wilfried Karmaus and Hasan Arshad

R-squared for Bayesian Regression Models pp. 307-309

Andrew Gelman, Ben Goodrich, Jonah Gabry and Aki Vehtari

Displaying Time Series, Spatial, and Space-Time Data with R, 2nd ed pp. 310-311

Silas Bergen

Letter to the Editor pp. 312-312

Thaddeus Tarpey and Eva Petkova

Volume 73, issue 2, 2019

Leadership in Statistics: Increasing Our Value and Visibility pp. 109-116

Eric W. Gibson

Revisiting Nested Group Testing Procedures: New Results, Comparisons, and Robustness pp. 117-125

Yaakov Malinovsky and Paul S. Albert

Bayesian Analysis on a Noncentral Fisher–Student’s Hypersphere pp. 126-140

Richard Le Blanc

Randomization Inference for Outcomes with Clumping at Zero pp. 141-150

Luke Keele and Luke Miratrix

A Method to Handle Zero Counts in the Multinomial Model pp. 151-158

Frank Tuyl

Near-Balanced Incomplete Block Designs, With an Application to Poster Competitions pp. 159-164

Xiaoyue Niu and James L. Rosenberger

A Primer on Visualizations for Comparing Populations, Including the Issue of Overlapping Confidence Intervals pp. 165-178

Tommy Wright, Martin Klein and Jerzy Wieczorek

A Starting Point for Navigating the World of Daily Fantasy Basketball pp. 179-185

Charles South, Ryan Elmore, Andrew Clarage, Rob Sickorez and Jing Cao

Teaching Bayes’ Theorem: Strength of Evidence as Predictive Accuracy pp. 186-190

Jeffrey N. Rouder and Richard D. Morey

Higher-Order Moments Using the Survival Function: The Alternative Expectation Formula pp. 191-194

Subhabrata Chakraborti, Felipe Jardim and Eugenio Epprecht

A Note on Bias of Closed-Form Estimators for the Gamma Distribution Derived From Likelihood Equations pp. 195-199

Francisco Louzada, Pedro L. Ramos and Eduardo Ramos

A Graphical Tool for Interpreting Regression Coefficients of Trinomial Logit Models pp. 200-207

Flavio Santi, Maria Michela Dickson and Giuseppe Espa

Statistical Analysis of Contingency Tables pp. 208-208

Anna Schenfisch and Brittany Fasy

Business Survival Analysis Using SAS: An Introduction to Lifetime Probabilities pp. 208-209

Xin Wang

Quantitative Methods for HIV/AIDS Research pp. 209-210

Nicole Bohme Carnegie

Clinical Trial Optimization Using R pp. 210-211

Emily Dressler

Survival Analysis with Interval-Censored Data: A Practical Approach with Examples in R, SAS, and BUGS pp. 211-212

Minggen Lu

Volume 73, issue 1, 2019

Why are p-Values Controversial? pp. 1-3

Todd A. Kuffner and Stephen G. Walker

Asymptotic Properties of Marginal Least-Square Estimator for Ultrahigh-Dimensional Linear Regression Models with Correlated Errors pp. 4-9

Gyuhyeong Goh and Dipak K. Dey

Invariance, Optimality, and a 1-Observation Confidence Interval for a Normal Mean pp. 10-15

Stephen Portnoy

On An Intriguing Distributional Identity pp. 16-21

M. C. Jones, Éric Marchand and William E. Strawderman

Comparing Objective and Subjective Bayes Factors for the Two-Sample Comparison: The Classification Theorem in Action pp. 22-31

Mithat Gönen, Wesley O. Johnson, Yonggang Lu and Peter H. Westfall

The Perils of Balance Testing in Experimental Design: Messy Analyses of Clean Data pp. 32-42

Diana C. Mutz, Robin Pemantle and Philip Pham

Modified Wilcoxon–Mann–Whitney Test and Power Against Strong Null pp. 43-49

Youyi Fong and Ying Huang

Enriching Students’ Conceptual Understanding of Confidence Intervals: An Interactive Trivia-Based Classroom Activity pp. 50-55

Xiaofei Wang, Nicholas G. Reich and Nicholas Horton

Sum of a Random Number of Correlated Random Variables that Depend on the Number of Summands pp. 56-60

Joel E. Cohen

Teaching Communication in a Statistical Collaboration Course: A Feasible, Project-Based, Multimodal Curriculum pp. 61-69

Mario A. Davidson, Charlene M. Dewey and Amy E. Fleming

Simple Measures of Individual Cluster-Membership Certainty for Hard Partitional Clustering pp. 70-79

Dongmeng Liu and Jinko Graham

An Examination of Discrepancies in Multiple Imputation Procedures Between SAS® and SPSS® pp. 80-88

Jianjun Wang and Dallas E. Johnson

Phlegon's Stem-and-Leaf Display pp. 89-93

Spyros Missiakoulis

blogdown: Creating Websites With R Markdown pp. 94-104

Megan D. Higgs, Xiaoke Zhang, Angelo Elmi, James M. Flegal, Jessica Utts, Sandra E. Safo, Craig A. Rolling, Michael J. Higgins and Jingyi Jessica Li

Letter to the Editor pp. 105-105

M.C. Jones

Editorial Collaborators pp. 106-108

The Editors