You should model sex as a categorical factor, not as a continuous 
variable, so there is no issue of centering sex. Whether you really need 
to center age depends on what you want to test. If you want to test of a 
difference in age slopes regressing out the effects of sex, then you 
don't need to change the age values. If you want to test for a 
difference in sex regressing out the effects of age, then you should 
first test for a difference in age slopes as described above. If there 
are no differences, then you should re-run the analysis using DOSS 
(different offset, same slope) in which case you do not need to demean 
the age.
doug


On 10/05/2012 04:58 PM, Yang, Daniel wrote:
> Dear freesurfer experts,
>
> I'm using Qdec and I want to control for age (a continuous variable) 
> and sex (f,m or 1,0).
>
> Do I need to center age (i.e., subtract the score from its mean) 
> before I select it as a nuisance factor?
> Do I need to center sex?
>
> I found that selecting age_centered as a nuisance factor vs. selecting 
> age_uncentered as a nuisance factor led to very different results… not 
> sure what is the correct way to go.
> In brief, if I want to control for age and sex, which of the following 
> is the correct way to go?
>
>  1. Center neither age nor sex (f,m). Then choose age_uncentered as a
>     nuisance factor, but sex_uncentered as a discrete/fixed factor.
>  2. Center age but not sex (f,m). Then choose age_centered as a
>     nuisance factor, but sex_uncentered as a discrete/fixed factor.
>  3. Center age but not sex (1,0). Then choose both age_centered and
>     sex_uncentered as nuisance factors.
>  4. Center age and sex (1,0). Then choose both age_centered and
>     sex_centered as nuisance factors.
>
> Thanks in advance!
> Daniel
> -- 
> Yung-Jui "Daniel" Yang, PhD
> Postdoctoral Researcher
> Yale Child Study Center
> New Haven, CT
> (203) 737-5454
>
>
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> Freesurfer mailing list
> Freesurfer@nmr.mgh.harvard.edu
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-- 
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MGH-NMR Center
gr...@nmr.mgh.harvard.edu
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Fax: 617-726-7422

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