Fig. 2: A probability distribution for p-values.
From: Bayesian p-curve mixture models as a tool to dissociate effect size and effect prevalence
Describing the likelihood of p-values from repeated, independent tests of an effect with size \(\delta\), these p-curves – specified by Eq. 1 – are valid probability distributions that integrate to one over the interval (0, 1). When the null hypothesis is true (\(\delta =0\)), the p-curve is equivalent to the standard uniform distribution.
