Exceedance control of the false discovery proportion christopher genovese and larry wasserman carnegie mellon university july 10, 2004 multiple testing methods to control the false discovery rate (fdr), the expected proportion of falsely rejected null hypothe- ses among all rejections) have received much attention. it can be valuable instead to control not the mean of this false discovery proportion (fdp) but the probability that the fdp exceeds a specified bound. in this paper, we construct a general class of methods for exceedance control of fdp based on inverting tests of uniformity. the method also produces a confidence envelope for the fdp as a function of rejection threshold. we discuss how to select a procedure with good power

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• who: Multiple Testing and collaborators from the Carnegie Mellon University have published the paper: Exceedance Control of the False Discovery Proportion Christopher Genovese and Larry Wasserman Carnegie Mellon University July 10, 2004 Multiple testing methods to control the False Discovery Rate (FDR), the expected proportion of falsely rejected null hypothe- ses among all rejections) have received much attention. It can be valuable instead to control not the mean of this false discovery proportion (FDP) but the probability that the FDP exceeds a specified bound. In this paper, we construct a general class of methods for exceedance control . . .
  

   

  

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