The False Discovery Rate (FDR) is a statistical method used to correct for multiple comparisons. In the context of epidemiology, it represents the expected proportion of false positives among all significant tests. Originally proposed by Benjamini and Hochberg in 1995, FDR has become a crucial tool for controlling Type I errors when conducting multiple hypothesis tests.
