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This may be more of a statistics question, but what is the proper way to test they hypothesis that volumetry is different in a patient group than your control data?
There are a number of possibilities, including a chi-square to calculate frequency of deviants for a specific ROI, or submitting %DevianceFromTheMean value of an ROI to a t-test (comparing to the expected difference of 0).
Do you have any suggestions for how best to perform such a test.
In particular, I wish to compare M1 volume in athletes (N = 50) to the mean of the matched population (found in your bounds files).
Thank you!
Roger
The text was updated successfully, but these errors were encountered:
This may be more of a statistics question, but what is the proper way to test they hypothesis that volumetry is different in a patient group than your control data?
There are a number of possibilities, including a chi-square to calculate frequency of deviants for a specific ROI, or submitting %DevianceFromTheMean value of an ROI to a t-test (comparing to the expected difference of 0).
Do you have any suggestions for how best to perform such a test.
In particular, I wish to compare M1 volume in athletes (N = 50) to the mean of the matched population (found in your bounds files).
Thank you!
Roger
The text was updated successfully, but these errors were encountered: