On 15 Jun 2010, at 18:34, Federico Calboli wrote: > I'm running a cox ph model on a dataset with a number of variables. Each > variable has a different number of missing data, so that coxph() drops the > individuals who are missing data at one or more variables. Because of this > dropping (totally fine btw) I want to know how many events I am left with in > the model. Is there a way of extracting them from the coxph() fit? or in any > other reasonably efficient way?
I just noticed that (survfit(coxmodel)) does work for a cox model with 1 only variable turned into a strata() (survfit(coxph(time, death) ~ strata(variable), data))) which does more or less what I need F -- Federico C. F. Calboli Department of Epidemiology and Biostatistics Imperial College, St. Mary's Campus Norfolk Place, London W2 1PG Tel +44 (0)20 75941602 Fax +44 (0)20 75943193 f.calboli [.a.t] imperial.ac.uk f.calboli [.a.t] gmail.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.
