Hi michael
In your glm, you usually have more than one EV or \beta and hence more
than one PE
If you combine these EVs you make a contrast (eg [1 -1] in order to
find where in the brain EV1 causes bigger activation than EV2)
As a result, you can have some contrast of PE (Cope) and their
uncertainty or variance (varcope)...
Hope it helps
Reza.
Sent from my iPhone
On 19 Jun 2009, at 12:08, Michael Scheel <[log in to unmask]>
wrote:
> Hi, I have a very simple question.
> I know that PE means parameter estimate.
> What does COPE and VARCOPE stand for?
>
> Thanks, Michael
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