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I'm estimating two models for data with n = 179 with four clusters (21, 70, 36, and 52) named siteid. I'm estimating a logistic regression model with random intercept and another version with random intercept and random slope for one of the independent variables. fit.1 <- lmer(glaucoma~(1|siteid)+x1 +x2,family=binomial,data=set1,method="ML", control=list(usePQL=FALSE,msVerbose=TRUE)) Generalized linear mixed model fit using PQL Formula: glaucoma ~ (1 | siteid) + x1 + x2 Data: set1 Family: binomial(logit link) AIC BIC logLik deviance 236.7448...

...(over and above some thinking about how censoring might be related to baseline factors). Would very much appreciate your thoughts and any pointers you can give Best wishes Paul aRtes ============================================= Paul H Artes, PhD Associate Professor & Foundation Scholar in Glaucoma Research Ophthalmology and Visual Sciences, Dalhousie University Rm 2035 West Victoria, 1278 Tower Rd, Halifax, Nova Scotia B3H 2Y5 Canada -- View this message in context: http://www.nabble.com/independence-of-censoring-in-survival-analyses-tp15340503p15340503.html Sent from the R help mailing lis...