Hi doug and others,
I want to perform correlation analysis,just one dependent variable and one independent variable. Previously I think the contrast(i.e.0 0 0.5 0.5 0 0) I design is for correlation between score1 and thickness. But yestoday I found this information http://surfer.nmr.mgh.harvard.edu/fswiki/Fsgdf2G2V#Contrast6g1g2.age.mtx. It told me that "Null Hypothesis: does mean of group age slope differ from 0? Is there an average affect of age regressing out the effect of group and weight?". Regressing out the effect of group and weight represents this contrast is for multimple regression,not simple correlation between two varibles. I am confused.
Doug, would you please tell me where I am wrong?
Thanks.
All the best.
Rujing Zha.
 
2014-02-22

charujing123

发件人:Douglas Greve <greve@nmr.mgh.harvard.edu>
发送时间:2014-02-21 23:35
主题:Re: [Freesurfer] fsgdf and contrasts
收件人:"freesurfer"<freesurfer@nmr.mgh.harvard.edu>
抄送:
 

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

发件人:Douglas N Greve <greve@nmr.mgh.harvard.edu>
发送时间:2014-02-21 03:39
主题:Re: [Freesurfer] fsgdf and contrasts
收件人:"freesurfer"<freesurfer@nmr.mgh.harvard.edu>
抄送:
 
 
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 
> _______________________________________________ 
> Freesurfer mailing list 
 
--  
Douglas N. Greve, Ph.D. 
MGH-NMR Center 
Phone Number: 617-724-2358 
Fax: 617-726-7422 
 
Bugs: surfer.nmr.mgh.harvard.edu/fswiki/BugReporting 
 
_______________________________________________ 
Freesurfer mailing list 
 
 
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. 
 


_______________________________________________
Freesurfer mailing list
Freesurfer@nmr.mgh.harvard.edu
https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer