Journal
PLOS ONE
Volume 7, Issue 10, Pages -Publisher
PUBLIC LIBRARY SCIENCE
DOI: 10.1371/journal.pone.0046363
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Funding
- Coca-Cola Company
- United States National Institutes of Health/NIDDK [P30DK056336]
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Much has been written regarding p-values below certain thresholds (most notably 0.05) denoting statistical significance and the tendency of such p-values to be more readily publishable in peer-reviewed journals. Intuition suggests that there may be a tendency to manipulate statistical analyses to push a near significant p-value'' to a level that is considered significant. This article presents a method for detecting the presence of such manipulation (herein called fiddling'') in a distribution of p-values from independent studies. Simulations are used to illustrate the properties of the method. The results suggest that the method has low type I error and that power approaches acceptable levels as the number of p-values being studied approaches 1000.
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