Dear FS-Group
I use the lme matlab tools for my longitudinal analysis and everything works fine.
My dataset consists of 2 time-points and 2 groups (patients and controls) and my design matrix X contains 4 columns (1. intercept, 2. time, 3. group, 4. interaction group*time).
As suggested from the mailing list archive, I used the intercept as the random effect since I have only 2 time points and I found some interesting results.
However, I still don’t understand why I should choose the intercept for my model and not for example the time or the interaction as the random effect.
THANK you for any help!
All best wishes,
Patrizia
freesurfer@nmr.mgh.harvard.edu