I'm not sure I understand. Your contrasts below are fine. What are you unsure about? doug
On 2/20/14 7:48 PM, charujing123 wrote:
Hidoug and others, Thanks doug. I see.If I want to implement multiple regression, i.e. two EVs(score1 and score2) explain pial thickness, what contrast I should design for this. Thanks again. All the best. Rujing Zha 2014-02-21
charujing123
*???:*Douglas N Greve greve@nmr.mgh.harvard.edu *????:*2014-02-21 03:39 *??:*Re: [Freesurfer] fsgdf and contrasts *???:*"freesurfer"freesurfer@nmr.mgh.harvard.edu *??:* yes, they are, though you don't need to do the positive and negative contrasts because the sign is preserved doug On 02/20/2014 12:47 AM, charujing123 wrote:
Hi FS experts and users, I am trying to implement independent sample t-test and correlation analysis. Here is my fsgdf design:
GroupDescriptorFile 1 Title lh_ttest Class CON_IA Class PAT_IA Variables score1 score2 Input CON_IA01 CON_IA 0 0 Input CON_IA03 CON_IA 0 0 Input CON_IA05 CON_IA 0 0 Input CON_IA06 CON_IA 0 0 Input CON_IA07 CON_IA 3 7 Input CON_IA09 CON_IA 0 0 Input CON_IA14 CON_IA 0 0 Input CON_IA15 CON_IA 0 0 Input CON_IA16 CON_IA 7 12 Input CON_IA19 CON_IA 6 15 Input CON_IA24 CON_IA 6 11 Input CON_IA27 CON_IA 3 3 Input CON_IA32 CON_IA 7 21 Input CON_IA33 CON_IA 7 21 Input CON_IA35 CON_IA 0 0 Input CON_IA38 CON_IA 7 15 Input CON_IA39 CON_IA 2 3 Input CON_IA40 CON_IA 6 8 Input CON_IA41 CON_IA 2 4 Input PAT_IA01 PAT_IA 8 13 Input PAT_IA02 PAT_IA 9 38 Input PAT_IA03 PAT_IA 9 33 Input PAT_IA04 PAT_IA 9 27 Input PAT_IA06 PAT_IA 9 26 Input PAT_IA08 PAT_IA 8 16 Input PAT_IA09 PAT_IA 9 33 Input PAT_IA16 PAT_IA 9 35 Input PAT_IA18 PAT_IA 9 39 Input PAT_IA21 PAT_IA 9 32 Input PAT_IA22 PAT_IA 9 31 Input PAT_IA23 PAT_IA 9 35 Input PAT_IA24 PAT_IA 9 40 Input PAT_IA25 PAT_IA 9 29 Input PAT_IA27 PAT_IA 9 30 Input PAT_IA29 PAT_IA 9 30 Input PAT_IA30 PAT_IA 8 32 Input PAT_IA33 PAT_IA 9 13 Input PAT_IA34 PAT_IA 9 21
Contrasts for independent sample t-test: 1,CON_IA>PAT_IA:1 -1 0 0 0 0 2,PAT_IA>CON_IA:-1 1 0 0 0 0 Contrasts for correlation analysis: 1,possitive correlation analysis between pial thickness and score1:0 0 0.5 0.5 0 0 2,negtive correlation analysis between pial thickness and score1:0 0 -0.5 -0.5 0 0 3,positive correlation analysis between pial thickness and score2:0 0 0 0 0.5 0.5 4,negtive correlation analysis between pial thickness and score2:0 0 0 0 -0.5 -0.5 Are my designs appropriate? If I want to implement regression analysis(i.e. dependent variable is thickness and independent variables are score1 and score2), how to design my contrast? Thanks. All the best. Rujing Zha 2014-02-20
charujing123
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