Hi Doug and others,
Thanks Doug.
All the best.

2013-12-20



Rujing Zha



发件人:Douglas N Greve <gr...@nmr.mgh.harvard.edu>
发送时间:2013-12-20 00:11
主题:Re: [Freesurfer] mri_glmfit error
收件人:"Rujing Zha"<charujing...@163.com>
抄送:"freesurfer"<freesurfer@nmr.mgh.harvard.edu>


On 12/18/2013 11:14 PM, Rujing Zha wrote: 
> Hi Doug and others, 
> Thanks Doug. 
> For the 2nd problem: I understand orthogonalization between nuisance  
> variables. I just want to test the difference between two group mean  
> pial thickness controling the age and edu (if it is necessary to  
> control the age and sex). So I guess I have two option: one: I can  
> select one of them discarding the other one in the fsgd. the other  
> one: I select both of them, and ignoring the high correlation. 
> For the 3rd problem: As I just want to know the difference between 2  
> group pial thickness controling some other factors which may explain  
> my result, so I guess I just donot consider the sex as a nuisance factor. 
> Is that appropriate? 
I don't know. It is not a question for me to answer since it depends on  
the data. 
> There is a new problem for me: 
> I also want to do a partial analysis between pial thickness analysis  
> and behavior score. The numbers of class in fsgd file are the same as  
> this one except adding another colume for the score. Is this correct? 
Yes 

> Thanks. 
> All the best. 
> 2013-12-19 
> ------------------------------------------------------------------------ 
> /Rujing Zha/ 
> ------------------------------------------------------------------------ 
> *发件人:*Douglas Greve <gr...@nmr.mgh.harvard.edu> 
> *发送时间:*2013-12-19 11:34 
> *主题:*Re: [Freesurfer] mri_glmfit error 
> *收件人:*"Rujing Zha"<charujing...@163.com> 
> *抄送:*"freesurfer"<freesurfer@nmr.mgh.harvard.edu> 
> 
> On 12/18/13 10:26 PM, Rujing Zha wrote: 
>> Hi Doug and others, 
>> Thanks Doug. 
>> I modifiled my number of class in the fsgd which can be got in the  
>> attachment. 
>> And I am confused with 3 problems: 
>> 1st: Is what I modified proper? 
> Yes 
>> 2nd: How can I deal with my high correlation between age and edu? 
> If they are nuisance variables, then you could orthogonalize one with  
> respect to the other. If you really want to test for a difference in  
> groups for the age slope or the edu slope, then there is nothing you  
> can do except get more subjects. 
>> 3rd: Is it necessary to tell mri_glmfit to distinguish which subject  
>> is female or male in each class if dividing all subjects into 2  
>> classes (i.e con and IA )? 
> If you only have con and IA, you cannot have a gender factor. If you  
> think that a gender factor is really necessary, then you need to get  
> more females. 
> doug 
> 
>> Thanks in advance. 
>> All the best. 
>> 2013-12-19 
>> ------------------------------------------------------------------------ 
>> /Rujing Zha/ 
>> ------------------------------------------------------------------------ 
>> *发件人:*Douglas N Greve <gr...@nmr.mgh.harvard.edu> 
>> *发送时间:*2013-12-19 04:59 
>> *主题:*Re: [Freesurfer] mri_glmfit error 
>> *收件人:*"freesurfer"<freesurfer@nmr.mgh.harvard.edu> 
>> *抄送:* 
>> Could be several things. You only have two IA_female and and only 3 
>> con_female. Also, the age and edu are highly correlated. I would try 
>> creating a single IA group with males and females and a single con group 
>> doug 
>> On 12/18/2013 11:21 AM, Rujing Zha wrote: 
>> > Hi all, 
>> > I try to run mri_glmfit, but it export 
>> > "ERROR: matrix is ill-conditioned or badly scaled, condno = 1e+08 
>> > -------------------------------- 
>> > Possible problem with experimental design: 
>> > Check for duplicate entries and/or lack of range of 
>> > continuous variables within a class.". 
>> > I upload the data in the attachment, and the glmfit_output is the 
>> > standard output of the "mri_glmfit". 
>> > Thanks. 
>> > All the best. 
>> > 2013-12-19 
>> > ------------------------------------------------------------------------  
>> 
>> > /Rujing Zha/ 
>> > 
>> > 
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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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> 

--  
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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