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help > RE: One sample or t-test
Sep 7, 2018 12:09 AM | Andrew Zalesky
RE: One sample or t-test
Hi Lijun,
When using FDR, the number of permutations must be very large, as described in the manual.
For NBS, 5000 permutations is ok, but for FDR I suggest generating at least 100,000 permutations, otherwise false positives are likely.This will take a longer time to run.
The reason why you have overlapping positive and negative effects is probably due to insufficient number of permutations with FDR.
Andrew
Originally posted by LJ Yin:
When using FDR, the number of permutations must be very large, as described in the manual.
For NBS, 5000 permutations is ok, but for FDR I suggest generating at least 100,000 permutations, otherwise false positives are likely.This will take a longer time to run.
The reason why you have overlapping positive and negative effects is probably due to insufficient number of permutations with FDR.
Andrew
Originally posted by LJ Yin:
Hi Andrew,
Thank you very much for your reply. I still have one follow-up question to my second question. I performed one sample test to test both positive and negative effect as you told me but by using FDR (no significant results were found by using NBS). But I found highly overlapped results from both effects. How could this happen?
Many thanks,
Lijun
Thank you very much for your reply. I still have one follow-up question to my second question. I performed one sample test to test both positive and negative effect as you told me but by using FDR (no significant results were found by using NBS). But I found highly overlapped results from both effects. How could this happen?
Many thanks,
Lijun
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Title | Author | Date |
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LJ Yin | Sep 3, 2018 | |
Alessio Bellato | Oct 12, 2018 | |
Andrew Zalesky | Oct 15, 2018 | |
Alessio Bellato | Oct 16, 2018 | |
Selma Lugtmeijer | Mar 17, 2022 | |
Andrew Zalesky | Mar 17, 2022 | |
Andrew Zalesky | Sep 4, 2018 | |
LJ Yin | Sep 6, 2018 | |
Andrew Zalesky | Sep 7, 2018 | |