Sounds like you need an F-test, eg, create a contrast like 1 1 -1 -1 0 0 0 0 0 0 0 0 1 1 0 0 -1 -1 0 0 0 0 0 0
This tests the null hypothesis that p1==p2==control On 11/07/2018 10:11 AM, 13181786167 wrote: > > External Email - Use Caution > > Thanks for your reply. Using the first one, We can obtain the sig.mgh > among 3 groups. If I want to obtain the results simultaneously between > patient 1 and 2, patient 1 and control, patient 2 and control. What > should I do. > > Sincerely, > Zheng > > > > > 郑凤莲 > 邮箱：13181786...@163.com > > <https://maas.mail.163.com/dashi-web-extend/html/proSignature.html?iconUrl=http%3A%2F%2Fmail-online.nosdn.127.net%2F045c9f9c64b625832c45daba6225f5de.jpg&name=%E9%83%91%E5%87%A4%E8%8E%B2&uid=13181786167%40163.com&ftlId=1&items=%5B%22%E9%82%AE%E7%AE%B1%EF%BC%9A13181786167%40163.com%22%5D> > > > > 签名由 网易邮箱大师 <https://mail.163.com/dashi/dlpro.html?from=mail88> > 定制 > > On 11/07/2018 22:57, Greve, Douglas N.,Ph.D. > <mailto:dgr...@mgh.harvard.edu> wrote: > Use the first one. Not sure what you mean by your multiple > comparisons > question > > On 11/01/2018 11:20 PM, 郑凤莲 wrote: > > > > External Email - Use Caution > > > > Hi experts, > > > > I am using FS 6.0 for analyzing the cortical thickness > difference > > between 3 groups: patient1, patient2 and control. In DODS > model, I > > need to creat 2 files, FSDG and mtx file. And we have > 3 variables: > > age, gender and cortical thickness. > > 1. The FSDG file is: > > GroupDescriptorFile 1 > > Title Tutorial > > Class patient1-male > > Class patient1-female > > Class patient2-male > > Class patient2-female > > Class control-male > > Class control-female > > Variables age > > Input subject1 patient1-female 20 > > Input subject2 patient1-male 33 > > Input subject3 patient2-female 40 > > Input subject4 patient2-male 50 > > Input subject5 control-male 30 > > Input subject6 control-female 35 > > And there is another way: > > GroupDescriptorFile 1 > > Title Tutorial > > Class patient1 > > Class patient2 > > Class control > > Variables sex age > > Input subject1 patient1 1 20 > > Input subject2 patient1 2 33 > > Input subject3 patient2 1 40 > > Input subject4 patient2 2 50 > > Input subject5 control 2 30 > > Input subject6 control 1 35 > > What I want to confirm is that if I want to adjust for sex > and age, > > which one is right? > > Another question is that is there any way to get the multiple > > comparisons between groups simultaneously? > > I am looking forward to your reply. Thanks very much. > > > > Sincerely, > > Zheng > > > > > > > > > > _______________________________________________ > > Freesurfer mailing list > > Freesurfer@nmr.mgh.harvard.edu > > https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer > > > _______________________________________________ > Freesurfer mailing list > Freesurfer@nmr.mgh.harvard.edu > https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer > _______________________________________________ Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
