# The American Statistician
2012 - 2020
Continuation of The American Statistician. Current editor(s): *Eric Sampson* From Taylor & Francis Journals Bibliographic data for series maintained by Chris Longhurst (). Access Statistics for this journal.
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**Volume 74, issue 1, 2020**
- The Democratization of Data Science Education pp. 1-7
*Sean Kross*, *Roger D. Peng*, *Brian S. Caffo*, *Ira Gooding* and *Jeffrey T. Leek*
- Fostering Undergraduate Data Science pp. 8-16
*Fulya Gokalp Yavuz* and *Mark Daniel Ward*
- A Short Note on Almost Sure Convergence of Bayes Factors in the General Set-Up pp. 17-20
*Debashis Chatterjee*, *Trisha Maitra* and *Sourabh Bhattacharya*
- Generating Correlation Matrices With Specified Eigenvalues Using the Method of Alternating Projections pp. 21-28
*Niels G. Waller*
- Interval Estimation for the Correlation Coefficient pp. 29-36
*Xinjie Hu*, *Aekyung Jung* and *Gengsheng Qin*
- The Johnson System of Frequency Curvesâ€”Historical, Graphical, and Limiting Perspectives pp. 37-52
*Johan RenÃ© van Dorp* and *M. C. Jones*
- A Note on Item Response Theory Modeling for Online Customer Ratings pp. 53-63
*Chien-Lang Su*, *Sun-Hao Chang* and *Ruby Chiu-Hsing Weng*
- On the Loss Robustness of Least-Square Estimators pp. 64-67
*Tamal Ghosh*, *Malay Ghosh* and *Tatsuya Kubokawa*
- Comment on â€œA Note on Collinearity Diagnostics and Centeringâ€ by Velilla (2018) pp. 68-71
*RomÃ¡n SalmerÃ³n GÃ³mez*, *Catalina GarcÃa GarcÃa* and *Jose GarcÃa PÃ©rez*
- Models for Geostatistical Binary Data: Properties and Connections pp. 72-79
*Victor De Oliveira*
- Two-Tailed p-Values and Coherent Measures of Evidence pp. 80-86
*Peter H. Peskun*
- A Shiny Update to an Old Experiment Game pp. 87-92
*Robert B. Gramacy*
- Further Examples Related to the Identical Distribution of X/(X+Y) and Y/(X+Y) pp. 93-97
*Barry C. Arnold*
- The Scaled Uniform Model Revisited pp. 98-100
*Micha Mandel*
- Benjamin, D. J., and Berger, J. O. (2019), â€œThree Recommendations for Improving the Use of p-Valuesâ€, The American Statistician, 73, 186â€“191: Comment by Foulley pp. 101-102
*Jean-Louis Foulley*
**Volume 73, issue S1, 2019**
- Moving to a World Beyond â€œpâ€‰ 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 Oâ€™Hagan* and *Jane Pendergast*
- Expert Knowledge Elicitation: Subjective but Scientific pp. 69-81
*Anthony Oâ€™Hagan*
- Before pâ€‰ 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 BÃ¶ckenholt* 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 J. 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 pâ€‰ 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 BraganÃ§a 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 Donâ€™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 Gossetâ€™s Guinnessometrics When a Little â€œpâ€ 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 pâ€‰ 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 GrÃ¢ce for a Tough Old Bull: â€œStatistically Significantâ€ 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 â€œGreater Statistical Stringencyâ€ 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*, *ZoltÃ¡n 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 Giantsâ€”Pioneers of Statistics in Industry pp. 400-407
*Ronald D. Snee*
- On the Mean Value Theorem for Estimating Functions pp. 408-410
*Alexandre GalvÃ£o 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?â€”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 Fisherâ€“Studentâ€™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 Bayesâ€™ 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*
- Business Survival Analysis Using SAS: An Introduction to Lifetime Probabilities pp. 208-209
*Xin Wang*
- Statistical Analysis of Contingency Tables pp. 208-208
*Anna Schenfisch* and *Brittany Fasy*
- 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*, *Ã‰ric 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 GÃ¶nen*, *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 Wilcoxonâ€“Mannâ€“Whitney Test and Power Against Strong Null pp. 43-49
*Youyi Fong* and *Ying Huang*
- Enriching Studentsâ€™ 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 SASÂ® and SPSSÂ® 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*
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