[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


Hi,  

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

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