Revised evidence for statistical standards
Author(s) -
Andrew Gelman,
Christian P. Robert
Publication year - 2014
Publication title -
proceedings of the national academy of sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.011
H-Index - 771
eISSN - 1091-6490
pISSN - 0027-8424
DOI - 10.1073/pnas.1322995111
Subject(s) - publishing , advice (programming) , actuarial science , computer science , psychology , economics , law , political science , programming language
International audienceJohnson proposes replacing the usual P = 0.05 standard for significance with the more stringent P = 0.005. This might be good advice in practice, but we remain troubled by Johnson's logic because it seems to dodge the essential nature of any such rule, which is that it expresses a tradeoff between the risks of publishing misleading results and of important results being left unpublished. Ultimately such decisions should depend on costs, benefits, and probabilities of all outcomes
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