fit <- coxph(Surv(futime,fustat)~ age +strata(rx), data=ovarian,
subset=1:23)
curves <- survfit(fit, newdata=ovarian[24:26,])
I don't think this is mentioned in the documentation (I'll have to fix that!),
but subscripting works for survfit objects. In this case there ar
Spencer,
It always helps to look at the documentation for the objects you use.
?survfit.object
tells you:
---
COMPONENTS
strata
if there are multiple curves, this component gives the number
of elements of the time etc. vectors corresponding to
I am wondering how to estimate the survival curve for a particular case(s)
given a coxph model
using this example code:
#fit a cox proportional hazards model and plot the
#predicted survival curve
fit <- coxph(
Surv(futime,fustat)~resid.ds+strata(rx)+ecog.ps+age,data=ovarian[1:23,])
