[R] survival probabilities with cph (counting process)

From: Alberts Laurens (Stud. SIT) <L.Alberts_at_student.unimaas.nl>
Date: Thu 15 Jun 2006 - 19:56:24 EST


I have fitted a cox model with time-varying covariates (counting process style) using the cph function of the Design package. Now I want to know the survival probabilities at each time point given the history of a single individual.  

I know the survest function, but I am not sure how to interpretet its output when using time-varying covariates. Does it just give the probabilities as if it are independent individuals or can/does it take in consideration that it is the history of a single individual? Is this even possible?  

An example: Individual x has a history of 3 months and the cox model is fitted with two time-varying covariates: a & b  

testcase <- data.frame(a =[4 5 2], b = [1 0 1]) survest(coxmodel, testcase, time = c(1,2,3))

Is this the right way to compute the probabilities?

Thank you in advance!  

Regards, Laurens Alberts

        [[alternative HTML version deleted]]

R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html Received on Thu Jun 15 19:59:53 2006

Archive maintained by Robert King, hosted by the discipline of statistics at the University of Newcastle, Australia.
Archive generated by hypermail 2.1.8, at Thu 15 Jun 2006 - 22:10:48 EST.

Mailing list information is available at https://stat.ethz.ch/mailman/listinfo/r-help. Please read the posting guide before posting to the list.