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I haven't really found an option to compare two independent (healthy controls vs. patients) correlation coefficients of MRI metrics (e.g. FA) with neuropsychological measures - i.e. does FA correlate with IQ more in this group than in the other?
I know one can still go for Fisher’s r-to-z approach after computing the r values, but is PALM able to do it more "elegantly"?
Thank you!
P.S. I love the software, really thanks for all the work!
The text was updated successfully, but these errors were encountered:
Hi @themostgod, it can be done in PALM if you reformulate the problem as an interaction (which is what it is, I think).
The design matrix would have 4 regressors:
EV1: IQ for group 1, zero for group 2
EV2: IQ for group 2, zero for group 1
EV3: intercept (ones) for group 1, zero for group 2
EV4: intercept (ones) for group 2, zero for group 1
The contrasts are then:
C1: [1 -1 0 0]
C2: [-1 1 0 0]
You'd get a test statistic and a p-value; the latter is the same as for the difference in correlations, corrected for multiple testing via permutations.
I haven't really found an option to compare two independent (healthy controls vs. patients) correlation coefficients of MRI metrics (e.g. FA) with neuropsychological measures - i.e. does FA correlate with IQ more in this group than in the other?
I know one can still go for Fisher’s r-to-z approach after computing the r values, but is PALM able to do it more "elegantly"?
Thank you!
P.S. I love the software, really thanks for all the work!
The text was updated successfully, but these errors were encountered: