Dear FreeSurfers, I am interested in examining interaction effects between two sets of classes where each covers all the data, let's say Male/Female and Treatment/Control. I know mri_glmfit can be used to run t-test comparisons between groups (e.g. All Treatment vs. All Control , or Male & Control vs. Male & Treatment), but can mri_glmfit be used to examine interaction effects between these two sets of classes (for surface data)?
my FSGD file looks like this: GroupDescriptorFile 1 Class MaleTreatment Class MaleControl Class FemaleTreatment Class FemaleControl Input subjid1a MaleTreatment Input subjid1b FemaleTreatment Input subjid2a FemaleControl Input subjid2b MaleControl etc... Thanks, Sasha Sasha Wolosin Research Assistant Developmental Cognitive Neurology Kennedy Krieger Institute 707 N. Broadway Baltimore, MD 21205 ph: (443) 923-9270 [EMAIL PROTECTED] Disclaimer: The materials in this e-mail are private and may contain Protected Health Information. Please note that e-mail is not necessarily confidential or secure. Your use of e-mail constitutes your acknowledgment of these confidentiality and security limitations. If you are not the intended recipient, be advised that any unauthorized use, disclosure, copying, distribution, or the taking of any action in reliance on the contents of this information is strictly prohibited. If you have received this e-mail in error, please immediately notify the sender via telephone or return e-mail. _______________________________________________ Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
