False Discovery Rate (FDR)
false discovery rate (FDR) is the expected value of V/R, where V is the number of true hypotheses that are rejected (i.e. the number of false rejections) and R is the total number of rejected hypotheses1
total R is known and equals V þ S, where S is the number of rejections of false hypotheses, i.e. of correct rejection
Due to this definition, \(FDR \leq FWER\), since if FWER = a, V/R is zero with probability \(1 - \alpha\) and between 0 and 1 with probability a, and thus its expected value is \(\leq \alpha\)1
References
1.
Shaffer JP. Controlling the false discovery rate with constraints: The Newman-Keuls test revisited. Biometrical Journal Biometrische Zeitschrift. 2007;49(1):136-143. doi:10.1002/bimj.200610297
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