This is treating Dx and Sex as a continuous variable. I've never seen it
FSGD file with one group (eg, Main) and two variables. See the FSGD page
Sex is a nominal variable but can be coded as 0,1.
If it's coded as 0 (male), 1 (female); then the slope means,
independent of Diagnosis, how much thicker the brain the female (vs.
male) is.
But if I model Sex as a nominal variable, there is always an
interaction term between Diagnosis and Sex in qdec, whether DODS or DOSS.
I would prefer not modeling the interaction term, but I don't know how
to do so in qdec or mri_glmfit.
Daniel
--
Yung-Jui "Daniel" Yang, PhD
Postdoctoral Researcher
Yale Child Study Center
New Haven, CT
(203) 737-5454
what does a slope of Sex mean? Is Sex a continuous variable?
On 09/05/2013 11:03 AM, Yang, Daniel wrote:
Hi Doug,
So I have two variables: Diagnosis (patient vs. control) and Sex
(female vs. male).
My model would be:
cortical thickness = intercept + (slope1 * Diagnosis) +
(slope2 * Sex).
Thanks!
Daniel
--
Yung-Jui "Daniel" Yang, PhD
Postdoctoral Researcher
Yale Child Study Center
New Haven, CT
(203) 737-5454
I'm not sure you can do that with a linear model. What
would your
model look like?
doug
On 9/4/13 9:18 PM, Yang, Daniel wrote:
Hi Freesurfer,
Is it possible to specify only two main effects but no
interaction effect by using mri_glmfit?
If yes, could you provide an example?
Details are much appreciated!
Thanks!
Daniel
--
Yung-Jui "Daniel" Yang, PhD
Postdoctoral Researcher
Yale Child Study Center
New Haven, CT
(203) 737-5454
On 9/3/13 8:45 PM, "Yang, Daniel"
Dear FS Experts,
My model has two categorical variable: Diagnosis
and Sex. I
am interested in the effect of Diagnosis but I
want to
control the Sex effect. Toward this goal, I want
to model two
main effects and want to avoid modeling their
interaction
term. Is this something feasible in FreeSurfer group
analysis? Would using DOSS help with the solution?
Thanks!
Daniel
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