Thank you for your reply.
Yes, those are the models we would like to run. This is our original script for model 1. We added the stressful events (epii) and baseline mental health symptoms (dep_1, anx_1) in as covariates.
RBA -prefix decrease_rba_covid -Subj subj -ROI ROI -Y Y \
-PDP 6 1 -chains 4 -iterations 10000 -model '1+age+sex+epii+dep_1+anx_1+dep_2+anx_2' \
-distROI 'student' -distSubj 'student' -distY 'student' \
-qVars 'age,epii,dep_1,anx_1,dep_2,anx_2' -cvars 'sex' -EOI 'dep_2,anx_2' \
-stdz 'age,epii,dep_1,anx_1,dep_2,anx_2' \
-dataTable decrease_data_table.txt
However for model 2, I am unsure of how to incorporate an interaction term between the baseline fMRI effects at a list of ROIs (Y) and stressful events (epii) to predict the mental health symptoms (dep_2,anx_2). Would the variable under '-Y' in the script be our mental health variable? If so, how does that correspond to having a list of ROI labels for '-ROI,' and would we enter betas for each ROI as a separate predictor (e.g., amygdalaB, insulaB), each with its own interaction term?
Thank you!
Erin
