longitudinal survey data
On 5/26/05, Thomas Lumley <tlumley at u.washington.edu> wrote:
If you *want* to fit mixed models (eg because you are interested in estimating variance components, or perhaps to gain efficiency) then it's quite a bit trickier. You can't just use the sampling weights in lme(). You can correct for the biased sampling if you put the variables that affect the weights in as predictors in the model. Cluster sampling could perhaps then be modelled as another level of random effect.
I've been struggeling with case weights (in the case of unequal selection probabilities) in mixed effects models. Those are not possible in lme(). Isn't it, however, possible to use case weights in glmmPQL from MASS? Koen Pelleriaux Sociologist University of Antwerp