Statistical Significance and the Dichotomization of Evidence
By Blakeley B. McShane, David Gal. 2017
177 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/189b1e314368db3cecaaa6303984c310727ea3a1
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Blakeley B. McShane
- Sander Greenland
- Andrew Gelman
- Christian P. Robert
- S. Hurlbert
- Aki Vehtari
- Paul-Christian Burkner
- David M. Blei
In Statistics and Probability
- Sander Greenland
- Andrew Gelman
- Christian P. Robert
- Blakeley B. McShane
- J. Tackett
- Richard A. Levine
- Jan M. Bauer
- L. Reisch
Citations in the corpus
- Abandon Statistical Significance (2017, background): “Consequently, low replication rates are to be expected given existing scientific practices (Ioannidis, 2005; Smaldino and McElreath, 2016), and calls for reform, which are not new (see, for example, Meehl (1978)), have become insistent.”
- Do energy efficiency policies save energy? A new approach based on energy policy indicators (in the EU Member States) (2020, unknown): “…and “ scientific conclusions and business or policy decisions should not be based only on whether a p-value passes a specific threshold ” (see also McShane and Gal (2017), Amrhein et al. (2019), and most of the contributions to the 2019 special issue of The American Statistician “ Statistical…”
- Behavioural Insights and (Un)healthy Dietary Choices: a Review of Current Evidence (2018, background): “A good deal of the empirical research reviewed in this report is explorative, based on small samples and therefore prone to provide false-positive results (Gelman 2017; McShane and Gal 2017).”
- Coup de Grâce for a Tough Old Bull: “Statistically Significant” Expires (2019, background): “Some authors ascribe the problem to human cognitive biases that have been created or aggravated by elementary statistical training (McShane and Gal 2017; Greenland 2017).”
- Valid P-Values Behave Exactly as They Should: Some Misleading Criticisms of P-Values and Their Resolution With S-Values (2019, background): “…that rates of renal adverse events among infants “were not different between the ibuprofen (+/–acetaminophen) and acetaminophen-only groups,” displaying a common type of nullistic cognitive blindness (McShane and Gal 2017; Greenland 2017) to the practical uninformativeness of the quoted results.”