* Please cc me if you reply as I am a digest subscriber * Hi, I am wondering how I can run a multilevel survival model in R? Below is some of my data.
> head(bi0.test) childid famid lifedxm sex age delta 1 22.02 22 CONTROL MALES 21.36893 0 2 13.02 13 MAJOR MALES 21.18001 0 3 64.02 64 CONTROL MALES 20.09377 0 4 5.02 5 CONTROL FEMALES 19.94524 0 5 183.02 183 BIPOLAR FEMALES 19.87406 0 6 37.02 37 BIPOLAR MALES 19.83847 0 Where age is my time variable and delta is development of thought problems (0 = No; 1 = Yes). My covariate of principle interest is mother's diagnosis (control, major depression, and bipolar) and I am principle interested in examining how the survival (not developing thought problems) differs by this covariate. However, I have siblings in my data set (famid) and I would like to account for this shared variability. How might I do this in R? Can I do it with the survival library? If possible, I'd also like to control for sex. Thanks, Chris -- Christopher David Desjardins PhD student, Quantitative Methods in Education MS student, Statistics University of Minnesota 192 Education Sciences Building http://cddesjardins.wordpress.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.
