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.
Conduct the m hypothesis tests of interest to obtain p-values .
Rank the p-values from smallest to largest. Denote these by .
Find the largest p-value for which . Suppose this first p-value is the kth largest, .
Reject the k hypotheses associated with p-values less than or equal to .
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.

Help created on 9/19/2017