Moving to a World Beyond “<i>p</i> < 0.05” (Q5868219)

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scientific article; zbMATH DE number 7588180

Language	Label	Description	Also known as
English	Moving to a World Beyond “<i>p</i> < 0.05”	scientific article; zbMATH DE number 7588180

Statements

scholarly article

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Moving to a World Beyond “<i>p</i> < 0.05” (English)

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The American Statistician

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publication date

20 September 2022

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MaRDI profile type

MaRDI publication profile

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full work available at URL

https://doi.org/10.1080/00031305.2019.1583913

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Assessing Statistical Results: Magnitude, Precision, and Model Uncertainty

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Three Recommendations for Improving the Use of <i>p</i>-Values

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The <i>p</i>-Value Requires Context, Not a Threshold

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Predictive Inference and Scientific Reproducibility

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An Introduction to Second-Generation <i>p</i>-Values

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The Role of Expert Judgment in Statistical Inference and Evidence-Based Decision-Making

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The New Statistics for Better Science: Ask How Much, How Uncertain, and What Else Is Known

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

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The False Positive Risk: A Proposal Concerning What to Do About <i>p</i>-Values

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The <i>p</i>-value Function and Statistical Inference

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Assessing the Statistical Analyses Used in <i>Basic and Applied Social Psychology</i> After Their <i>p</i>-Value Ban

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Blending Bayesian and Classical Tools to Define Optimal Sample-Size-Dependent Significance Levels

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Why is Getting Rid of <i>P</i>-Values So Hard? Musings on Science and Statistics

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A Proposed Hybrid Effect Size Plus <i>p</i>-Value Criterion: Empirical Evidence Supporting its Use

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Valid<i>P</i>-Values Behave Exactly as They Should: Some Misleading Criticisms of<i>P</i>-Values and Their Resolution With<i>S</i>-Values

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Putting the <i>P</i>-Value in its Place

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Quality Control for Scientific Research: Addressing Reproducibility, Responsiveness, and Relevance

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Will the ASA's Efforts to Improve Statistical Practice be Successful? Some Evidence to the Contrary

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The Limited Role of Formal Statistical Inference in Scientific Inference

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Coup de Grâce for a Tough Old Bull: “Statistically Significant” Expires

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What Have We (Not) Learnt from Millions of Scientific Papers with <i>P</i> Values?

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Evidence From Marginally Significant <i>t</i> Statistics

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Before <i>p</i> < 0.05 to Beyond <i>p</i> < 0.05: Using History to Contextualize <i>p</i>-Values and Significance Testing

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Correcting Corrupt Research: Recommendations for the Profession to Stop Misuse of <i>p</i>-Values

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Frequentist, Bayes, or Other?

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The Impact of Results Blind Science Publishing on Statistical Consultation and Collaboration

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Treatment Choice With Trial Data: Statistical Decision Theory Should Supplant Hypothesis Testing

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

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Moving Towards the Post <i>p</i> < 0.05 Era via the Analysis of Credibility

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Content Audit for <i>p</i>-value Principles in Introductory Statistics

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Abandon Statistical Significance

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Large-Scale Replication Projects in Contemporary Psychological Research

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Expert Knowledge Elicitation: Subjective but Scientific

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

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Limitations of <i>P</i>-Values and <i>R</i>-squared for Stepwise Regression Building: A Fairness Demonstration in Health Policy Risk Adjustment

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<i>p</i>-Values, Bayes Factors, and Sufficiency

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Inference and Decision Making for 21st-Century Drug Development and Approval

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Beyond Calculations: A Course in Statistical Thinking

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Five Nonobvious Changes in Editorial Practice for Editors and Reviewers to Consider When Evaluating Submissions in a Post <i>p</i> < 0.05 Universe

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Statistical Inference Enables Bad Science; Statistical Thinking Enables Good Science

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Multiple Perspectives on Inference for Two Simple Statistical Scenarios

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How Large Are Your <i>G</i>-Values? Try Gosset’s Guinnessometrics When a Little “<i>p</i>” Is Not Enough

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Statistical Inference as Severe Testing

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The ASA Statement on <i>p</i>-Values: Context, Process, and Purpose

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A critical evaluation of the current “<i>p</i>‐value controversy”

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Identifiers

10.1080/00031305.2019.1583913

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Mathematics Subject Classification ID

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zbMATH DE Number

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Sitelinks

Mathematics(1 entry)

mardi Publication:5868219

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