Compute Weibull model
For a Weibull model with covariates, we can compute the survival curve just as we did for the Weibull model without covariates. The only thing we need to do is specify the covariate values for a given survival curve in the predict() function. This can be done with the argument newdata.
Bu egzersiz
Survival Analysis in R
kursunun bir parçasıdırEgzersiz talimatları
- Compute a Weibull model for the
GBSG2dataset with covariatehorThto analyze the effect of hormonal therapy on the survival of patients. - Compute the survival curve for patients who receive hormonal therapy.
- Take a look at the survival curve with
str().
Uygulamalı interaktif egzersiz
Bu örnek kodu tamamlayarak bu egzersizi bitirin.
# Weibull model
wbmod <- survreg(Surv(___, ___) ~ ___, data = GBSG2)
coef(wbmod)
# Retrieve survival curve from model
surv <- seq(.99, .01, by = -.01)
t_yes <- predict(___, type = "quantile", p = ___,
newdata = data.frame(horTh = ___))
# Take a look at survival curve
str(t_yes)