i think you would still run into the same probem
On 07/11/2017 12:15 PM, Yann Ying Chye wrote:
Thanks for your reply,
I have a follow up on my first question - if however I was not looking for a main effect of gender, but for the main effect of something else (e.g. diagnosis), will it then be ok to include the unbalanced group (i.e. A-male), to control for gender?
Thanks!
Regards Yann
On 7 July 2017 at 18:34, <freesurfer-request@nmr.mgh.harvard.edu mailto:freesurfer-request@nmr.mgh.harvard.edu> wrote:
Send Freesurfer mailing list submissions to freesurfer@nmr.mgh.harvard.edu <mailto:freesurfer@nmr.mgh.harvard.edu> To subscribe or unsubscribe via the World Wide Web, visit https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer <https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer> or, via email, send a message with subject or body 'help' to freesurfer-request@nmr.mgh.harvard.edu <mailto:freesurfer-request@nmr.mgh.harvard.edu> You can reach the person managing the list at freesurfer-owner@nmr.mgh.harvard.edu <mailto:freesurfer-owner@nmr.mgh.harvard.edu> On 7/7/17 1:58 PM, Yann Ying Chye wrote: > Dear FreeSurfer mailing list, > > I've got two questions regarding the freesurfer GLM analysis. > > 1. I am trying to run mri_glmfit on the cortical thickness of a > dataset that has a few interacting factors of unequal levels. > For example, my dataset may have groups A, B, C, and D. Within the > groups, subjects are further divided by gender - male and female. > However, group A only has males, such that the classes in my FSGD file > = A-male, B-male, B-female, C-male, C-female, D-male, and D-female. > Will this design be a problem? Will it be statistically sound? > Additionally if I was looking for an effect of gender, how would I > weigh my contrast? I was thinking 0.25 0.25 -0.33 0.25 -0.33 0.25 > -0.33. Would that be valid? I think I would lean against including A-male. Otherwise, what is the null hypothesis? Without A-male, it would be that males and females differ when regeressing out the effect of group, but you can't say that if you include A-male. Eg, if there were no difference between A-male and A-female but A tended to be larger than the other groups, then including A-male and not A-female would create a confound making males look bigger than females. > 2. Does mri_glmfit have a limit to the number of subjects it can run > with? If I have say upwards of a few thousand subjects, will this be > possible to run/how long would that take? I don't think it has a limit. > > Thanks for your help! > > Regards > Yann > > > _______________________________________________ > Freesurfer mailing list > Freesurfer@nmr.mgh.harvard.edu <mailto:Freesurfer@nmr.mgh.harvard.edu> > https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer <https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer> End of Freesurfer Digest, Vol 161, Issue 17 *******************************************