In epidemiological studies, researchers often perform numerous statistical tests to identify potential associations between exposures and health outcomes. When multiple tests are performed, the likelihood of obtaining false-positive results increases. FDR helps in managing this risk by providing a balance between identifying true positives and limiting false positives. This is especially critical in genetic epidemiology and public health research, where large datasets are common.
