Just to clarify, you can do this analysis in FS, but not in QDEC. You'll 
have to create an FSGD file. Do a search for FSGD on our wiki to get 
examples that you can generalize from.
doug

MCLAREN, Donald wrote:
> Charlotte,
>
> There is no difference, from a statistical perspective, of nuisance
> factors and covariates.
>
> The key questions are:
> (1) Do any of these covariates have a differential effect on thickness
> between groups?
> (2) Do you want to compare the actual group means or the
> covariate-adjusted group means (e.g. test the means for subjects as if
> the subjects all had the same covariate values)?
> (3) Do you have enough subjects to add 5 covariates?
> (4) Do you have a valid reason for why all the covariates would have
> an effect on thickness? One can always add more covariates to reduce
> the error, but its not always a good thing to add covariates just to
> reduce the error of the model.
>
> On 2/23/12, Charlotte Bernard <chak...@live.fr> wrote:
>   
>> Dear Freesurfur users,
>>
>> I have a question about the design for a surface based analysis! I want to
>> compare controls and patients. I have 5 covariates. One is a continous
>> variable. The others are categorial variables (4 with 2 levels and 1 with 5
>> levels). I want to ajust my result with all of thoses variables. I am
>> interested in the difference in thickness between patients and controls.
>> Is it possible to construct such design?
>> Can I put some of my variables in the "nuisance factors" ? I don't really
>> understand the difference between "nuisance factor" and covariabes.
>> I really hope somebody can help me.
>> Thanks for all!
>> All the best,
>> Charlotte
>>                                      
>>     
>
>
>   

-- 
Douglas N. Greve, Ph.D.
MGH-NMR Center
gr...@nmr.mgh.harvard.edu
Phone Number: 617-724-2358 
Fax: 617-726-7422

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