Hello FS expert, I have four groups and two covariables. The groups are MCI_P,MCI_S,MCI_R,NC and the covariables are age and education. I want to test the thickness differences of the groups regressing out age and education.My group.effect.mtx is as following with the feedback of error. 1 -1 0 0 0 0 0 0 0 0 0 0 1 0 -1 0 0 0 0 0 0 0 0 0 1 0 0 -1 0 0 0 0 0 0 0 0 Thanks! I am looking forward for your prompt reply. Yours, Haidong
That will compute the main effect of diagnosis. Is that what you want?
On 07/12/2017 10:29 AM, haidong wang wrote:
Hello FS expert, I have four groups and two covariables. The groups are MCI_P,MCI_S,MCI_R,NC and the covariables are age and education. I want to test the thickness differences of the groups regressing out age and education.My group.effect.mtx is as following with the feedback of error. 1 -1 0 0 0 0 0 0 0 0 0 0 1 0 -1 0 0 0 0 0 0 0 0 0 1 0 0 -1 0 0 0 0 0 0 0 0 Thanks! I am looking forward for your prompt reply. Yours, Haidong
Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
Yes. I want to find brain areas of significant thickness difference among four groups using the atlas of aparc. Without regressing covariables, the contrast following runs correctly. 1 -1 0 0 1 0 -1 0 1 0 0 -1 How to do that with regressing covariables of age and education?
2017-07-13 6:28 GMT+08:00 Douglas N Greve greve@nmr.mgh.harvard.edu:
That will compute the main effect of diagnosis. Is that what you want?
On 07/12/2017 10:29 AM, haidong wang wrote:
Hello FS expert, I have four groups and two covariables. The groups are MCI_P,MCI_S,MCI_R,NC and the covariables are age and education. I want to test the thickness differences of the groups regressing out age and education.My group.effect.mtx is as following with the feedback of error. 1 -1 0 0 0 0 0 0 0 0 0 0 1 0 -1 0 0 0 0 0 0 0 0 0 1 0 0 -1 0 0 0 0 0 0 0 0 Thanks! I am looking forward for your prompt reply. Yours, Haidong
Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
-- Douglas N. Greve, Ph.D. MGH-NMR Center greve@nmr.mgh.harvard.edu Phone Number: 617-724-2358 Fax: 617-726-7422
Bugs: surfer.nmr.mgh.harvard.edu/fswiki/BugReporting FileDrop: https://gate.nmr.mgh.harvard.edu/filedrop2 www.nmr.mgh.harvard.edu/facility/filedrop/index.html Outgoing: ftp://surfer.nmr.mgh.harvard.edu/transfer/outgoing/flat/greve/
Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
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 http://www.partners.org/complianceline . If the e-mail was sent to you in error but does not contain patient information, please contact the sender and properly dispose of the e-mail.
Don't include them in the FSGD
On 7/12/17 8:45 PM, haidong wang wrote:
Yes. I want to find brain areas of significant thickness difference among four groups using the atlas of aparc. Without regressing covariables, the contrast following runs correctly. 1 -1 0 0 1 0 -1 0 1 0 0 -1 How to do that with regressing covariables of age and education?
2017-07-13 6:28 GMT+08:00 Douglas N Greve <greve@nmr.mgh.harvard.edu mailto:greve@nmr.mgh.harvard.edu>:
That will compute the main effect of diagnosis. Is that what you want? On 07/12/2017 10:29 AM, haidong wang wrote: > Hello FS expert, > I have four groups and two covariables. The groups are > MCI_P,MCI_S,MCI_R,NC and the covariables are age and education. I want > to test the thickness differences of the groups regressing out age > and education.My group.effect.mtx is as following with the feedback of > error. > 1 -1 0 0 0 0 0 0 0 0 0 0 > 1 0 -1 0 0 0 0 0 0 0 0 0 > 1 0 0 -1 0 0 0 0 0 0 0 0 > Thanks! I am looking forward for your prompt reply. > Yours, > Haidong > > > _______________________________________________ > 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> -- Douglas N. Greve, Ph.D. MGH-NMR Center greve@nmr.mgh.harvard.edu <mailto:greve@nmr.mgh.harvard.edu> Phone Number: 617-724-2358 Fax: 617-726-7422 Bugs: surfer.nmr.mgh.harvard.edu/fswiki/BugReporting <http://surfer.nmr.mgh.harvard.edu/fswiki/BugReporting> FileDrop: https://gate.nmr.mgh.harvard.edu/filedrop2 <https://gate.nmr.mgh.harvard.edu/filedrop2> www.nmr.mgh.harvard.edu/facility/filedrop/index.html <http://www.nmr.mgh.harvard.edu/facility/filedrop/index.html> Outgoing: ftp://surfer.nmr.mgh.harvard.edu/transfer/outgoing/flat/greve/ <ftp://surfer.nmr.mgh.harvard.edu/transfer/outgoing/flat/greve/> _______________________________________________ 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> 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 http://www.partners.org/complianceline <http://www.partners.org/complianceline> . If the e-mail was 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 Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
freesurfer@nmr.mgh.harvard.edu
-
Douglas Greve -
Douglas N Greve
-
haidong wang