Estimating median survival from a Weibull model
We can now estimate the survival of the breast cancer patients in the GBSG2 data using a Weibull model (function survreg()).
Remember, the Weibull model estimates a smooth survival function instead of a step function, which is what the Kaplan-Meier method estimates.
The predict() function with type = "quantile" allows us to compute the quantiles of the distribution
function. We will use this to compute the median survival.
The survival package and the GBSG2 data are loaded for you in this exercise.
This is a part of the course
“Survival Analysis in R”
Exercise instructions
- Estimate a Weibull model for the breast cancer patients.
- Compute the median survival from this model using the
predict()function withtype = "quantile".
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Weibull model
wb <- ___(Surv(time, cens) ~ 1, data = GBSG2)
# Compute the median survival from the model
predict(wb, type = "quantile", p = ___, newdata = data.frame(1))