your classes are right. What are you trying to test with your contrast matrix?

On 01/20/2016 05:33 AM, Erik Lindberg wrote:

Dear Freesurfers,

I am running a design in which I want to correct for a number of categorical variables: diagnosis, gender and apoe status and one continuous variable (age) in a correlation analysis

Did I get this right? (below)

Thanks, Eric

GroupDescriptorFile 1

Title MyTitle

Class AMCI_F_APOE-

Class AMCI_F_APOE+

Class AMCI_MALE_APOE-

Class AMCI_MALE_APOE+

Class CTL_FEMALE_APOE-

Class CTL_FEMALE_APOE+

Class CTL_MALE_APOE-

Class CTL_MALE_APOE+

Class NON_A_MCI_FEMALE_APOE-

Class NON_A_MCI_FEMALE_APOE+

Class NON_A_MCI_MALE_APOE-

Class NON_A_MCI_MALE_APOE+

Class SCI_FEMALE_APOE-

Class SCI_FEMALE_APOE+

Class SCI_MALE_APOE-

Class SCI_MALE_APOE+

Variables AGE_DEMEAN CSF_Ab40_ADx

With the contrast matrix: corr.mtx:

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1

---

Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer