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This paper is a review of the popular Benjamini Hochberg Method and otherrelated useful methods of Multiple Hypothesis testing. This is written with thepurpose of serving a short but complete easy to understand review of the mainarticle with proper background. The paper titled 'Controlling the FalseDiscovery Rate-a practical and powerful Approach to multiple Testing' bybenjamini et. al.[1] proposes a new framework of controlling the FalseDiscovery Rate in a Multiple Hypothesis testing problem. It has been claimedthat the procedure proposed in the paper results in a substantial gain in powermore applicable in case of problems which call for False discovery rate (FDR)control rather than Familywise Error Rate (FWER). The proposed method uses asimple Bonferroni type procedure for FDR control.

A Complete Review of Controlling the FDR in a Multiple Comparison Problem Framework -- The Benjamini-Hochberg Algorithm