While it may be true that for coxme models the "standard errors" are not very good approximations, it is always useful to have them to compare with other diagnostics such as likelihood ratios and profile likelihoods. It is interesting to hear that with the currently used methodology
"Computation of the se of the random effect turns out to be very hard" because if you simply use AD Model Builders Random Effects module to formulate the model you will get the standard errors calculated for free without any more effort. Cheers, Dave -- David A. Fournier P.O. Box 2040, Sidney, B.C. V8l 3S3 Canada Phone/FAX 250-655-3364 http://otter-rsch.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.