So I have two variables: Diagnosis (patient vs. control) and Sex
(female vs. male).
cortical thickness = intercept + (slope1 * Diagnosis) + (slope2 * Sex).
I'm not sure you can do that with a linear model. What would your
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
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
_______________________________________________
Freesurfer mailing list
The information in this e-mail is intended only for the
person to whom it is
addressed. If you believe this e-mail was sent to you in
error and the e-mail
contains patient information, please contact the Partners
Compliance HelpLine at
sent to you in error
but does not contain patient information, please contact the
sender and properly
dispose of the e-mail.
_______________________________________________
Freesurfer mailing list