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.
1.
Conduct the m hypothesis tests of interest to obtain p-values p1, p2,..., pm.
2.
Rank the p-values from smallest to largest. Denote these by .
3.
Find the largest p-value for which . Suppose this first p-value is the kth largest, p(k).
4.
Reject the k hypotheses associated with p-values less than or equal to p(k).
The p-values adjusted for the false discovery rate, denoted p(i), FDR, are computed as follows:
If a hypothesis has an FDR-adjusted p-value that falls below α, then it is rejected by the procedure.

Help created on 10/11/2018