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

On 9/4/13 10:10 PM, "Douglas Greve" <greve@nmr.mgh.harvard.edu> wrote:


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" <yung-jui.yang@yale.edu> wrote:

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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