Dear Martin Reuter,
Thank you for your clear explanation.
Best wishes,
Han.
On Tue, May 24, 2016 at 12:41 PM, Martin Reuter wrote:
> Dear Han,
>
> if controls have only 1 time point, you cannot compare/analyse any
> measurement of change across the groups (such as atrophy rates). You can
> on
Dear Han,
if controls have only 1 time point, you cannot compare/analyse any
measurement of change across the groups (such as atrophy rates). You can
only do a cross sectional analysis at baseline.
For patients you could separately look at atrophy rates (if they differ
from zero, which should
Dear Martin Reuter,
Thank you for your reply.
Our patients have several time points, but controls have only 1 time points,
so when I coded the patients group =1, controls groups = 0 ,
the 2. time and 3. time2 column were same as 5. 4.X time 6. 4.X time2
column.
and 8. 7. X time and 9. 8. X time
Hi Han,
Try to find a local statistician to help you with your analysis.
About your matrix: rows need to be number of all time points from all subject. Time 2 should probably not be there. Also columns 7-9 need to be dropped (they are just the negative of the rows before).
Best Martin
On May 21,
Dear FreeSurfer Team,
I processed in MATLAB for Linear Mixed Effects Models Analysis with this X
matrix:
X matrix is 'Subjects N X 11', 11 columns are as follow,
1. Intercept (all '1')
2. time (from baseline time point)
3. time2
4. Patients group = 1, Control = 0
5. 4.X time
6. 4.X time2
7. Pati
