if you have multiple variables then you have to do multiple regression 
before testing the correlation
doug

On 02/21/2014 09:35 PM, charujing123 wrote:
> 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 anaverage 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 <gr...@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 <gr...@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
>> >
>> >
>> > _______________________________________________
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>> > Freesurfer@nmr.mgh.harvard.edu
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>> -- 
>> Douglas N. Greve, Ph.D.
>> MGH-NMR Center
>> gr...@nmr.mgh.harvard.edu
>> Phone Number: 617-724-2358
>> Fax: 617-726-7422
>> Bugs: surfer.nmr.mgh.harvard.edu/fswiki/BugReporting
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>> www.nmr.mgh.harvard.edu/facility/filedrop/index.html
>> Outgoing: ftp://surfer.nmr.mgh.harvard.edu/transfer/outgoing/flat/greve/
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>

-- 
Douglas N. Greve, Ph.D.
MGH-NMR Center
gr...@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/

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