If it is only one subject and you have no continuous variables, you can
do it that way. If you have continuous variables, you will need to use
DOSS (different-offset same slope) to force the slopes to be the same
across classes (because you can't compute a slope from a single data point)
On 5/
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Thank you Douglas. That’s much clearer. I do however, have a subject without a
gender disclosure. Would I set up my class and contrasts as:
5 classes: PatentientsMale, PatientsFemale, HCMale, HCFemale, HCNa
then use contrast [0.5 0.5 -0.33 -0.33 -0
The first one will test for a difference between group offset/intercept
accounting for age, gender, episodes, and residuals. By setting a
regressor contrast element to 0, one accounts for that variable because
the variable appears in the model that is fit to the data (and so its
effects already
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Hello!
I am having trouble with creating my contrast files. I did go over FsfdExamples
(https://secure-web.cisco.com/1ezcK_pFVwJfmWpdVsJeZORU_8kaDi3SfZnw3BO98zpMkJch-p_v87YwJzoqtiefk_hIobUKYja2omqZRjod-i1GdU-HkzipUmBlo5LVsklOHdteQtjAi1L5l1J_T5iRzcE-h_
