i am analyzing some data and have a question i hope someone can answer. i want to use this sort of model:
lmer( y ~ x + (1 | ID ), family=binomial, weight=w) so i want to explore the relationship between y and x, with a random effect for each patient. my question is this. is this a sensible model to use when the number of observations for each patient ID is often one? I have 305 observations for 239 patients.186 of the patients have only one observation each and another 40 have two observations each. at the other extreme, one patient has 5 observations lmer fits the model without complaining. but is this a sensible thing to do? it might be silly if so many of my patients only have on observation each. i've tried doing some reading but i cannot find an answer to this question. thanks you for your advice wiggin. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
