Sorry, not sure what you are asking. It sounds like you have exactly the situation in that web page except you have diagnosis as a factor instead of handedness.
On 05/30/2016 09:39 AM, Hao wen wrote:
Hello, FS experts:
I am now doing the group analysis with covariates(age, gender), I am using command line, not QDEC, so my Null hypothesis is:
there is no significant difference for the thickness between my two groups( 'AD' and 'CN'), my covariates are age and gender, so if I define the classes like in the tutorial, is there an interaction between the group laber and gender, no? My question is that:
If I define the FSGD file like the example here(we have two factors, 1 variable):https://surfer.nmr.mgh.harvard.edu/fswiki/Fsgdf4G1V
https://surfer.nmr.mgh.harvard.edu/fswiki/Fsgdf4G1V
Fsgdf4G1V - Free Surfer Wiki https://surfer.nmr.mgh.harvard.edu/fswiki/Fsgdf4G1V surfer.nmr.mgh.harvard.edu FSGD File (g4v1.fsgd) GroupDescriptorFile 1 Title OSGM Class MaleRight Class MaleLeft Class FemaleRight Class FemaleLeft Variables Age Input subject1 MaleRight 30 ...
Follow the tutorial, I think my contrast matrix should be like this: 0.5 -0.5 0.5 -0.5 0 0 0 0
So I know that if you have just one factor, for example, the gender, we should have four columns, like:
- Intercept for Females
- Intercept for Males
- Slope for Females
- Slope for Males
But for my data, I also have the group lable(AD, CN), so anyone can explain this to me a little?
Thanks in advance!
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