Yes, it is addressing that question. The contrast should be the same as 
your Group Diff below. Although I'm not sure you're using the proper 
design. It looks like you are using Sex as a continuous covariate? That 
is not correct. It should be discrete. So you should have 4 classes 
(HC-M, HC-F, PT-M, PT-F)

On 09/21/2015 09:31 AM, pablo najt wrote:
> Hello FS experts,
> I would like to understand the results from qdec in a GLM model with 
> Group (PT/HC), and two covariates (Age, gender).
> I set up my contrast as follow:
>
> Group Diff
> HC  PT  AgeHC  AgePT  SexHC SexPT
>  1     -1    0           0          0           0
>
> Group x Age effect
> HC  PT  AgeHC  AgePT  SexHC SexPT
>  0      0     1          -1         0            0
>
> Group X Sex effect
> HC  PT  AgeHC  AgePT  SexHC SexPT
>  0      0     0           0          1           -1
> Continues just as indicated in the "2 Groups 2 Covariates example"
>
> What I would like to find out: /If there are group differences while 
> controlling for age and sex/.
>
> In Qdec I selected Group, Gender, and Age. (Age as normal variable, 
> not as nuisance)
> However, when I open my results with Qdec I am not quite sure it is 
> answering my question.
>
> From all the questions listed I thought that the following was 
> addressing what I need, but would like to clarify.
> "/Does the thickness, --Age correlation, accounting for Gender, differ 
> between HC and PT?"/
> Would you mind confirming this for me?
> Thanks!!
> Pablo
>
>
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