Computing the survival curve from a Cox model
In this exercise, we will reproduce the example from the video following the steps:
- Compute Cox model
- Decide on "imaginary patients"
- Compute survival curves
- Create
data.frame
with survival curve information - Plot
We will focus now on the first three steps in this exercise and do the next two steps in the upcoming exercise.
The survival
and survminer
packages and the GBSG2
data are loaded for you in this exercise.
This exercise is part of the course
Survival Analysis in R
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Cox model
cxmod <- ___(Surv(time, cens) ~ horTh + tsize, data = GBSG2)
# Imaginary patients
newdat <- expand.grid(
horTh = levels(GBSG2$___),
tsize = quantile(GBSG2$___, probs = c(0.25, 0.5, 0.75)))
___(newdat) <- letters[1:6]
# Inspect newdat
newdat