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Benjamini-Hochberg (FDR) exact calculation?
Hi JMP Community,
For as long as I can remember, I have used an approximation of the Benjamini-Hochberg FDR calculation to account for multiple testing:
> On a sorted list of Nominal P Values (smaller to larger) : BH p Val = Nom P Val * N Row()/Row ()
However, I'm aware of some limitation with this approach:
- For large Nominal p Values, the formula described above returns values > 1 (not by much but it tells me that something is not right)
- For Nominal p Values that are equal (or very close for one another), the formula returns slightly different values which I think should not be the case
Hence, is there a better way to calculate the FDR?
Thank you for your help.
Best,
TS
Thierry R. Sornasse
1 ACCEPTED SOLUTION
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Re: Benjamini-Hochberg (FDR) exact calculation?
Created:
Sep 15, 2020 09:35 AM
| Last Modified: Sep 16, 2020 6:20 AM
(2489 views)
| Posted in reply to message from Thierry_S 09-12-2020
Hi JMP Community,
With a bit of digging, I was able to find an Add-In developed by John Sall from JMP that calculates correctly the FDR p Value False Discovery Rate PValue
Best,
TS
Thierry R. Sornasse
1 REPLY 1
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Re: Benjamini-Hochberg (FDR) exact calculation?
Created:
Sep 15, 2020 09:35 AM
| Last Modified: Sep 16, 2020 6:20 AM
(2490 views)
| Posted in reply to message from Thierry_S 09-12-2020
Hi JMP Community,
With a bit of digging, I was able to find an Add-In developed by John Sall from JMP that calculates correctly the FDR p Value False Discovery Rate PValue
Best,
TS
Thierry R. Sornasse