p-Curve and p-Hacking in Observational Research.

Volume: 11, Issue: 2
Published: Feb 17, 2016
Abstract
The p-curve, the distribution of statistically significant p-values of published studies, has been used to make inferences on the proportion of true effects and on the presence of p-hacking in the published literature. We analyze the p-curve for observational research in the presence of p-hacking. We show by means of simulations that even with minimal omitted-variable bias (e.g., unaccounted confounding) p-curves based on true effects and...
Paper Details
Title
p-Curve and p-Hacking in Observational Research.
Published Date
Feb 17, 2016
Journal
Volume
11
Issue
2
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