That looks right. You can use 1/6 instead of 1/3, but that will not make 
a difference in the final p-values



On 05/24/2017 11:00 AM, Worker, Amanda wrote:
>
> Hi all,
>
>
> I have a repeated measures design with two groups (drug and placebo) 
> and two time points (baseline and follow-up). The groups are not very 
> well matched so I'd like to control for age and gender. The data was 
> also acquired across three sites which I'll need to control for. I do 
> not have any drop outs.
>
>
> Essentially, I want to know if there is a significant effect of drug 
> on cortical thickness.
>
>
> I've tried this out in qdec, but because I have site (with three 
> levels) qdec isn't appropriate, so I'm trying to set up my own fsgd 
> and contrast matrix. Because I have already created the percent change 
> and symmetrized percent change files (as part of qdec prep) I thought 
> I might be able to simply run a t-test on those. Which would answer 
> the question...'is there a significant difference in percent change 
> for the drug and placebo groups'. Does this seem like a sensible approach?
>
>
> If the above does seem sensible, I am not quite sure how to set up my 
> contrast matrix. As I have three categorical variables to include 
> (Treatment, Gender, Site) and only one continuous variable (age). This 
> would leave me with 12 classes (DrugFemaleSite1, DrugMaleSite1, 
> DrugFemaleSite2, DrugMaleSite2 etc etc) and one variable.
>
>
> Would it look something like this? Or is this absurd?
>
>
> 0.333 0.333 0.333 0.333 0.333 0.333 -0.333 -0.333 -0.333 -0.333 -0.333 
> -0.333 0 0 0 0 0 0 0 0 0 0 0 0
>
>
> Thanks in advance,
>
>
> Amanda
>
>
>
>
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