I think just using DOSS instead of DODS will do it (--fsgd your.fsgd doss)
On 03/03/2015 12:42 AM, Anders Hougaard wrote:
Thanks Doug.
Any suggestions for a more appropriate design?
I guess this is a common situation where two or more parameters only
apply to one group (in this case
Thanks Doug.
Any suggestions for a more appropriate design?
I guess this is a common situation where two or more parameters only
apply to one group (in this case patients) and are zero or constant in
the other.
Best,
Anders
2015-03-02 21:21 GMT+01:00 Douglas N Greve gr...@nmr.mgh.harvard.edu:
Dear Doug,
Thanks for the answer. I deliberately chose not to demean.
With demeaning I get the same error (see below). Any suggestions?
Best,
Anders
Design matrix --
1.000 0.000 -0.600 0.000 17.137 0.000;
1.000 0.000 -0.800 0.000 11.962 0.000;
1.000 0.000
It looks like the 4th column is always -0.9 and the 6th col is always
-9.138 which makes them redundant with column 2 and causes the error.
doug
On 03/02/2015 03:16 PM, Anders Hougaard wrote:
Dear Doug,
Thanks for the answer. I deliberately chose not to demean.
With demeaning I get the same
Try demeaning your covariates. By demeaning, I mean to compute the mean
across all subjects, then subtract the mean from all values (for each
covariate).
doug
On 3/1/15 2:40 AM, Anders Hougaard wrote:
Dear all,
I'm comparing cortical thickness of a group of patients to a group of
Dear all,
I'm comparing cortical thickness of a group of patients to a group of controls.
I want to regress out the effects of gender, age, disease severity and
disease duration.
For the controls, the last two parameters equals zero.
When running mri_glmfit, i get ERROR: matrix is
