There is indeed right censoring, but I obviously didn't explain it very well.
Patients are either fully oriented or not (1 or 2) after an hour. If they're not, then the data is right censored. However, I don't feel that "coxme" is overkill at all, as I may also have to account for repeated COURSES of treatments on the same individiual, so the data would be structured as follows: TREATMENTS repeated within COURSES repeated within PATIENTS. However, I may need a little help later specifying the model technically in R. What would the random effects bit of the formula look like? At the moment I have mycoxme<-coxme(mysurv~SEX + (1|MRN)) for example. would a correct specification for the nested data be: mycoxme<-coxme(mysurv~SEX + (1|MRN|COURSE)) Then of course we have the added issue that treatments are ordered.... so is there a "Frailty" model that can account for that I wonder? Thanks for all your help. Ross -- View this message in context: http://r.789695.n4.nabble.com/Multilevel-Survival-Analysis-Cox-PH-Model-tp3638278p3640352.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.
