Moving to a World Beyond “p < 0.05”
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Summary
Some of you exploring this special issue of The American Statistician might be wondering if it’s a scolding from pedantic statisticians lecturing you about what not to do with p-values, without offering any real ideas of what to do about the very hard problem of separating signal from noise in data.
- Type
- article
- Published
- 2019-03-20
- Cited by
- 2,669
- References
- 171
- Access
- Open access
- OpenAlex
- https://openalex.org/W2922853138
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:126623424
Keywords
Computer science
References
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- The Difference Between “Significant” and “Not Significant” is not Itself Statistically Significant
- Beyond subjective and objective in statistics
- Statistics and research integrity
- The ASA Statement on p-Values: Context, Process, and Purpose
- The cult of statistical significance. How the standard error costs us jobs, justice, and lives
- Statistical methods for research workers
- No publication without confirmation
- A critical evaluation of the current “p‐value controversy”
- Abandon Statistical Significance
- Statistical Significance and the Dichotomization of Evidence
- Large-Scale Replication Projects in Contemporary Psychological Research
- Results Blind Science Publishing
- The False Positive Risk: A Proposal Concerning What to Do About p-Values
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- Knowing how effective an intervention, treatment, or manipulation is and increasing replication rates: accuracy in parameter estimation as a partial solution to the replication crisis
- Best practice guidance for linear mixed-effects models in psychological science
- The Language of Betting as a Strategy for Statistical and Scientific Communication
- What is the evidence for reliability and validity of behavior evaluations for shelter dogs? A prequel to “No better than flipping a coin”
- Forecasting the Rates of Future Aftershocks of All Generations Is Essential to Develop Better Earthquake Forecast Models
- Statistical significance should be abandoned, say scientists
- Scientists rise up against statistical significance
- Coup de Grâce for a Tough Old Bull: “Statistically Significant” Expires
- Is this the end of “statistical significance”?
- Calibrating the Scientific Ecosystem Through Meta-Research
- The Importance of Predefined Rules and Prespecified Statistical Analyses: Do Not Abandon Significance.
- Abandoning statistical significance is both sensible and practical
- Interpretable hypothesis tests
- Power, positive predictive value, and sample size calculations for random field theory-based fMRI inference
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