March 2018 (Vol.. 73) - The American Statistician: Statistical Inference in the 21st Century: A World Beyond p < 0.05

A selection of interesting article titles in the current list of articles for current edition of The American Statistician.

https://amstat.tandfonline.com/toc/utas20/73/sup1?nav=tocList
Statistical Inference in the 21st Century: A World Beyond p < 0.05

• Moving to a World Beyond “p < 0.05”
• What Have We (Not) Learnt from Millions of Scientific Papers with P Values?
• Why is Getting Rid of P-Values So Hard? Musings on Science and Statistics
• Will the ASA's Efforts to Improve Statistical Practice be Successful? Some Evidence to the Contrary
• Correcting Corrupt Research: Recommendations for the Profession to Stop Misuse of p-Values
• Quality Control for Scientific Research: Addressing Reproducibility, Responsiveness, and Relevance
• The Role of Expert Judgment in Statistical Inference and Evidence-Based Decision-Making
• Expert Knowledge Elicitation: Subjective but Scientific
• Before p < 0.05 to Beyond p < 0.05: Using History to Contextualize p-Values and Significance Testing
• The Limited Role of Formal Statistical Inference in Scientific Inference
• Large-Scale Replication Projects in Contemporary Psychological Research
• Valid P-Values Behave Exactly as They Should: Some Misleading Criticisms of P-Values and Their Resolution With S-Values
• The p-Value Requires Context, Not a Threshold
• Assessing Statistical Results: Magnitude, Precision, and Model Uncertainty
• Putting the P-Value in its Place
• Evidence From Marginally Significant t Statistics
• The p-value Function and Statistical Inference
  
• p-Values, Bayes Factors, and Sufficiency
• Limitations of P-Values and R-squared for Stepwise Regression Building: A Fairness Demonstration in Health Policy Risk Adjustment
• An Introduction to Second-Generation p-Values
• A Proposed Hybrid Effect Size Plus p-Value Criterion: Empirical Evidence Supporting its Use
• Three Recommendations for Improving the Use of p-Values
• The False Positive Risk: A Proposal Concerning What to Do About p-Values
• Moving Towards the Post p < 0.05 Era via the Analysis of Credibility
• Blending Bayesian and Classical Tools to Define Optimal Sample-Size-Dependent Significance Levels
• How Effect Size (Practical Significance) Misleads Clinical Practice: The Case for Switching to Practical Benefit to Assess Applied Research Findings
• Abandon Statistical Significance
  
• Statistical Inference Enables Bad Science; Statistical Thinking Enables Good Science
• Inferential Statistics as Descriptive Statistics: There Is No Replication Crisis if We Don’t Expect Replication
• The New Statistics for Better Science: Ask How Much, How Uncertain, and What Else Is Known
• How Large Are Your G-Values? Try Gosset’s Guinnessometrics When a Little “p” Is Not Enough
• Predictive Inference and Scientific Reproducibility
• Treatment Choice With Trial Data: Statistical Decision Theory Should Supplant Hypothesis Testing
• Multiple Perspectives on Inference for Two Simple Statistical Scenarios
• Coup de Grâce for a Tough Old Bull: “Statistically Significant” Expires
• The World of Research Has Gone Berserk: Modeling the Consequences of Requiring “Greater Statistical Stringency” for Scientific Publication
• Assessing the Statistical Analyses Used in Basic and Applied Social Psychology After Their p-Value Ban