The False Positive Risk: A Proposal Concerning What to Do About p-Values
Explore this paper's citation graph
Summary
It is suggested that p-values and confidence intervals should continue to be given, but that they should be supplemented by a single additional number that conveys the strength of the evidence better than the p-value.
- Type
- article
- Published
- 2018-02-13
- Cited by
- 160
- References
- 37
- Access
- Open access
- OpenAlex
- https://openalex.org/W2786045312
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:85530643
Keywords
Value (mathematics), Reliability (semiconductor), False accusation, Imprecise probability, Order (exchange)
References
- The Sage handbook of quantitative methodology for the social sciences
- The action of optical isomers: II. Hyoscines.
- Revised standards for statistical evidence
- Weighing the Alternatives
- Why should clinicians care about Bayesian methods
- Testing a Point Null Hypothesis: The Irreconcilability of P Values and Evidence
- Patients' responsibilities in medical ethics.
- Probability and the Weighing of Evidence
- A STATISTICAL PARADOX
- A comment on D. V. Lindley's statistical paradox
- Assessing the probability that a positive report is false: an approach for molecular epidemiology studies.
- Controlling the false discovery rate: a practical and powerful approach to multiple testing
- Reverse-Bayes analysis of two common misinterpretations of significance tests
- Testing Precise Hypotheses
- Calibration of ρ Values for Testing Precise Null Hypotheses
- Toward Evidence-Based Medical Statistics. 1: The P Value Fallacy
- UNIFORMLY MOST POWERFUL BAYESIAN TESTS
- Lectures on biostatistics
- Identifying Prior Distributions That Produce Specific Decisions, with Application to Monitoring Clínical Trials
- p values, hypothesis tests, and likelihood: implications for epidemiology of a neglected historical debate.
Cited by
- How to design preclinical studies in nanomedicine and cell therapy to maximize the prospects of clinical translation
- A new standard for the analysis and design of replication studies
- The Language of Betting as a Strategy for Statistical and Scientific Communication
- Moving to a World Beyond “p < 0.05”
- Statistical significance should be abandoned, say scientists
- Moving Towards the Post p < 0.05 Era via the Analysis of Credibility
- Power, positive predictive value, and sample size calculations for random field theory-based fMRI inference
- A response to O. Arandjelovic's critique of "The reproducibility of research and the misinterpretation of p-values"
- New paradigms for considering statistical significance: A way forward for health services research journals, their authors, and their readership.
- Randomized Controlled Trials: The case of Multiple Sclerosis - Refining the constraints of a treasure, a short outline
- Blending the New Statistics with Mixture Modeling -- A ROPE-based single-block Gibbs sampler for Bayesian t-tests
- Scientific value of econometric tourism demand studies
- Semantic and cognitive tools to aid statistical science: replace confidence and significance by compatibility and surprise
- A world beyond P: policies, strategies, tactics and advice
- A response to critiques of ‘The reproducibility of research and the misinterpretation of p-values’
- New-day statistical thinking: A bold proposal for a radical change in practices
- Null Hypothesis Significance Testing Interpreted and Calibrated by Estimating Probabilities of Sign Errors: A Bayes-Frequentist Continuum
- Null Hypothesis Significance Testing Defended and Calibrated by Bayesian Model Checking
- Many high quality RCTs in sports physical therapy are making false positive claims of treatment effect: a systematic survey
- Is N-Hacking Ever OK? A simulation-based inquiry
Related papers
No related papers recorded.