search for: rasbash

...f the probabilities of selection - not the probabilities. Fundamentally, there is a difficulty in making sense out of 'random effects' in a finite population setting. (plagiarized from some unknown source) See: < 9. Pfeffermann, D. , Skinner, C. J. , Holmes, D. J. , Goldstein, H. , and Rasbash, J. (1998), ``Weighting for unequal selection probabilities in multilevel models (Disc: p41-56)'', Journal of the Royal Statistical Society, Series B, Methodological, 60 , 23-40 > which refers back to: <29. Pfeffermann, D. , and LaVange, L. (1989), ``Regression models for stratifie...

Dear All, I have a complex survey data with observations having differing probabilities of selection into the sample. I would like to run a linear mixed effects model and also to use weighting that takes this into consideration. As far as I know, however, the weighting option for the lme command from nlme package (or glmmPQL from MASS, for that matter) is related to heteroscedasticity. Is there a

...the distribution of Y given X, not the distribution of Y >given X and Z, you are still in trouble. > > > -thomas > > > > > >>(plagiarized from some unknown source) >>See: < 9. Pfeffermann, D. , Skinner, C. J. , Holmes, D. J. , Goldstein, H. , >>and Rasbash, J. (1998), ``Weighting for unequal selection probabilities in >>multilevel models (Disc: p41-56)'', Journal of the Royal Statistical >>Society, Series B, Methodological, 60 , 23-40 > >> >>which refers back to: >><29. Pfeffermann, D. , and LaVange, L. (...

I am trying to use the LME package to run a multilevel logistic model using the following code: ------------------------------------------------------------------------ ------------------------------------------- Model1 = GLMM(WEAP ~ TSRAT2 , random = ~1 | GROUP , family = binomial, na.action = na.omit ) ------------------------------------------------------------------------