A Q-Q plot aids interpretation of the False Discovery Rate

TL;DR

This paper introduces a method to visualize the false discovery rate (FDR) using Q-Q plots of p-values, enhancing understanding and interpretation of FDR in statistical analyses.

Contribution

It presents a novel approach linking FDR to Q-Q plots, aiding researchers in interpreting FDR visually within their data sets.

Findings

FDR can be effectively represented on Q-Q plots.

The method improves understanding of FDR in multiple testing.

Facilitates interpretation of p-value distributions in research data.

Abstract

A method is demonstrated for representing the false discovery rate (FDR) in a set of p-values on a quantile-quantile (Q-Q) plot of the p-values. Recognition of this connection between the FDR and the Q-Q plot facilitates both understanding of the meaning of the FDR, and interpretation of the FDR in a particular data set.