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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
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.
- 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
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