All of the Response Screening plots involve p-values for tests conducted using the FDR technique described in Benjamini and Hochberg, 1995. See also Westfall et al. (2011). This method assumes that the p-values are independent and uniformly distributed.
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Rank the p-values from smallest to largest. Denote these by .
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The p-values adjusted for the false discovery rate, denoted , are computed as:
If a hypothesis has an FDR-adjusted p-value that falls below α, then it is rejected by the procedure.