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Inappropriate Fiddling with Statistical Analyses to Obtain a Desirable P-value: Tests to Detect its Presence in Published Literature

Overview of attention for article published in PLOS ONE, October 2012
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Title
Inappropriate Fiddling with Statistical Analyses to Obtain a Desirable P-value: Tests to Detect its Presence in Published Literature
Published in
PLOS ONE, October 2012
DOI 10.1371/journal.pone.0046363
Pubmed ID
Authors

Gary L. Gadbury, David B. Allison

Abstract

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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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 116 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 6%
Netherlands 2 2%
Germany 1 <1%
Switzerland 1 <1%
Spain 1 <1%
Russia 1 <1%
Unknown 103 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 22%
Researcher 23 20%
Professor 11 9%
Professor > Associate Professor 10 9%
Student > Master 9 8%
Other 30 26%
Unknown 8 7%
Readers by discipline Count As %
Psychology 24 21%
Medicine and Dentistry 18 16%
Agricultural and Biological Sciences 16 14%
Computer Science 9 8%
Biochemistry, Genetics and Molecular Biology 5 4%
Other 31 27%
Unknown 13 11%