On 09/06/2012 04:42 AM, Meng Li wrote:
> Hi Freesurfer experts,
> When I perform the statistical analysis, I am very confused with the 
> following questions:
>
> My experimental design includes 3 discrete factors: diagnosis with two 
> levels (A, B); genotype with two levels (G, T); gender (F, M), and two 
> covariates.
>
> So I can get 8 classes: AGF, AGM, ATF,ATM, BGF, BGM, BTF, BTM.
>
> 1) I want to perform 2 (diagnosis)* 2(genotype) interaction analysis 
> with regressing out the effect of gender and two covariates, but I 
> don't know the rules for setting the contrasts for the interaction.  
> The contrast matrix I used is:
>
> 0.250.25 -0.25-0.25 -0.25 -0.25 0.25 0.25 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
>
> is it correct?
>
> If it is correct, how to explain the results, for example, what does 
> the positive (or negative) clusters stand for?  Or the clusters showed 
> in the t-test statistical map are the regions that have the 
> significant interaction?
>
This is correct. As with all interactions, the sign is hard to 
interpret. Most people will do post hoc analyses to help interpret the 
results.
>
>  2) When I perform the main effect of dignosis, is the following 
> matrix I used correct?
>
> 0.25 0.25 0.25 0.25 -0.25 -0.25 -0.25 -0.25 0 0 0 0 0 0 0 0 0 0 0 0 0 
> 0 0 0  (I think it regressed out the effect of genotype and gender, 
> that is it takes the genotype as a covariable)
>
> Or I  should create another fsgd file, that has 4 classes: AF, AM, BF, 
> BM. And I can use the matrix (0.5 0.5 -0.5 -0.5 0 0 0 0 0 0 0 0) to 
> perform the main effect of diagnosis. which one is right?
>
Your contrast is correct.
doug
>
> Any help will be very appreciated.
>
> Best wishes,
>
> Meng
>
>
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