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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.

Cet exercice fait partie du cours

Survival Analysis in R

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Exercice interactif pratique

Essayez cet exercice en complétant cet exemple de 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
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