Survival curve quantiles from a Weibull model
We can now estimate the survival of the breast cancer patients in the GBSG2 data using a Weibull model.
The predict() function with type = "quantile" allows us to compute the quantiles of the distribution
function. As we learned in this course so far, the survival function is 1 - the distribution function
(\(S = 1 - D\)), so we can easily compute the quantiles of the survival function using the predict() function.
The survival package and GBSG2 data are loaded for you in this exercise.
This exercise is part of the course
Survival Analysis in R
Exercise instructions
- Estimate a Weibull model for the breast cancer patients.
- Get the time point at which the probability of surviving longer than that time point is 70 Percent (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(___, ___) ~ 1, data = GBSG2)
# 70 Percent of patients survive beyond time point...
predict(wb, type = ___, p = ___, newdata = data.frame(1))