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help > RE: One sample or t-test
Mar 17, 2022 11:03 PM | Andrew Zalesky
RE: One sample or t-test
Hi Selma,
The threshold for the one-sample t-test is applied to the mean connectivity value.
So if you are considering functional connectivity estimated with Pearson correlation, a threshold of 0.3 will consider clusters/components of connections for any connections for which the mean connectivity value exceeds 0.3.
The threshold can thus be used to set a minimum meaningful connectivity value. There is no right or wrong threshold.
I hope that helps.
Andrew
Originally posted by Selma Lugtmeijer:
The threshold for the one-sample t-test is applied to the mean connectivity value.
So if you are considering functional connectivity estimated with Pearson correlation, a threshold of 0.3 will consider clusters/components of connections for any connections for which the mean connectivity value exceeds 0.3.
The threshold can thus be used to set a minimum meaningful connectivity value. There is no right or wrong threshold.
I hope that helps.
Andrew
Originally posted by Selma Lugtmeijer:
Hi,
thanks for elaborating on this topic. What is not clear to me is what the threshold means in a one-sample test? Why is that in the range around the mean connectivity and how would you justify any choice of threshold? I have one group and only want to assess which values are different from zero, corrected for multiple testing. Without NBS I would do a one-sample t-test for every edge over subjects and apply FDR correction, now I want to do the equivalent with NBS.
Many thanks,
Selma
thanks for elaborating on this topic. What is not clear to me is what the threshold means in a one-sample test? Why is that in the range around the mean connectivity and how would you justify any choice of threshold? I have one group and only want to assess which values are different from zero, corrected for multiple testing. Without NBS I would do a one-sample t-test for every edge over subjects and apply FDR correction, now I want to do the equivalent with NBS.
Many thanks,
Selma
Threaded View
| Title | Author | Date |
|---|---|---|
| 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 | |