Dear FS experts,
Sorry for my confusion here, but I'm wondering why dichotomous nuisance variables (e.g., gender) can't be used in qdec? I was thinking that if it uses a generalized linear model then it should be ok? I read other posts and understand why discrete factors can't be used with more than 2 levels, but was thinking that dichotomous variables should be different.
NB. we're trying to run a simple two group comparison, but we two dichotomous variables that we want to control for.
Many thanks for your help, Dom
-------------------------------------------------------------------- Dom Dwyer, PhD Psychiatry & Psychotherapy LMU Munich
A: Nußbaumstr. 7, Munich, 80336 E: dominic.dwyer@med.uni-muenchen.de T: +49 (0)89 4400 55880
I'm not sure what you mean. Dichotomous variables can be used. Our tutorial has an example of using gender.
On 11/9/16 5:05 AM, Dominic Dwyer wrote:
Dear FS experts,
Sorry for my confusion here, but I'm wondering why dichotomous nuisance variables (e.g., gender) can't be used in qdec? I was thinking that if it uses a generalized linear model then it should be ok? I read other posts and understand why discrete factors can't be used with more than 2 levels, but was thinking that dichotomous variables should be different.
NB. we're trying to run a simple two group comparison, but we two dichotomous variables that we want to control for.
Many thanks for your help, Dom
*Dom Dwyer, PhD* Psychiatry & Psychotherapy LMU Munich
A: Nußbaumstr. 7, Munich, 80336 E: dominic.dwyer@med.uni-muenchen.de mailto:dominic.dwyer@med.uni-muenchen.de T: +49 (0)89 4400 55880
Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
freesurfer@nmr.mgh.harvard.edu