Its difficult to decipher what you want Jason. A mixed model has two
parts; fixed part and random part. In your case, the fixed part is
"z x y" and the random part is "couple: gender" . However, this model
would not work.
If you have repeated measurements on each subject (or id). We could
fit a model with random slope and intercept. But you would still have
to specify the covariance structure.
xtmixed z x y || id: x, cov(covariance_structure_here)
Hope this at least points you in the right direction.
Raphael
On Thu, Jan 29, 2009 at 2:07 PM, <[email protected]> wrote:
> I'm interested in creating a mixed model with two predictors (x and y) and
> dependent variable (z).
> My data has couples (males and females).
> Would the mixed model look like this:
> xtmixed z x y || couple: gender
> Thanks.
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>
--
Raphael A. Fraser, MSc
Lecturer in Biostatistics
Tropical Medicine Research Institute
Faculty of Medical Sciences
University of the West Indies
Mona Campus
Kingston, JAMAICA
Tel: (876) 927-2471; 977-6151
Mobile: (876) 410-4699
Fax: (876) 927-2984
e-mail: [email protected]
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* http://www.ats.ucla.edu/stat/stata/
