Hi Gang, could I just ask a follow up question on including the outcome measures as covariates?
>> if I changed the model to Time*Group+Age+Gender+outcome1+outcome2+outcome3+(Time|Subj) , in order to be able to look at the effects of those outcome scores, I am basically correcting for them, am I not?
> With this specification, you would be able to assess the association of each outcome with your outcome variable. (...)
Would -gltCode Outcome_1 'outcome1 : ' \
be the correct contrast for assessing the correlation/ association of one of the parameters overall with the fmri input (which are betas of one IC from an ICA btw.)
And -gltCode Outcome_1 'Group: 1*Group1 outcome1 : ' \
for only looking at one group?
I also tried the following contrasts to assess the effect of one of the outcome variables at a specific time point/ over time:
-gltCode outcome1_T4 'outcome1 : Time :4' \
-gltCode outcome1_G1_T4 'Group: 1*Group1 outcome1 : Time :4' \
-gltCode outcome1_over_time 'outcome1 : Time :' \
-gltCode outcome1_G1_over_time 'Group: 1*Group1 outcome1 : Time :' \
-gltCode outcome1_GroupDiff_over_time 'Group: 1*Group1 -1*Group2 outcome1 : Time :' \
For that, I changed the model to Time*Group*outcome1+Age+Gender+outcome2+(Time|Subj).
But these contrasts only produced a 0 output. Not sure if the last three even make any sense (probably not?)
-007
