The false discovery rate (FDR) is the expected proportion of false positives among all findings that are declared significant. It is especially important in studies that involve many statistical tests, where the chance of incorrectly finding significance increases.
For example, in a study analyzing thousands of genetic markers, researchers might use methods to control the FDR to ensure that, among all the markers flagged as significant, only a small percentage are likely to be false positives.
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