The false discovery rate (FDR) is a statistical method used to estimate the proportion of incorrect rejections among all rejected hypotheses in multiple testing scenarios. It provides a balance between discovery and error rate, allowing researchers to control the expected proportion of type I errors when conducting multiple comparisons.