model<-geeglm(outcome~predictor+confounder, family=binomial(link = "logit"), data=na.omit(DataMiss), corstr='ar1', id=id, std.err="san.se")
There could be other variables in DataMiss that have many missing values, so when you apply na.omit() on DataMiss, you may be ending up with an empty data.frame. Try subsetting DataMiss to only the variables you will use for the model, and then taking na.omit of it outside of your model statement. DataMissOm <- na.omit(subset(DataMiss, select = c(outcome, predictor, confounder, id))) model<-geeglm(outcome~predictor+confounder, family=binomial(link = "logit"), data=DataMissOm, corstr='ar1', id=id, std.err="san.se") -- View this message in context: http://r.789695.n4.nabble.com/Missing-values-and-geeglm-tp3675622p4649433.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.
