First, type='expected' gives the expected cumulative hazard for each
subject, given their follow-up time and covariates. It is not the expected
follow-up time, the expected time to death, or the probability of death.
I suspect you are not getting what you think you are.
A survival model predicts a survival curve for each subject. For Cox
models you get the entire curve with the survfit() method, for survreg
models you get the curve with predict(). To get a better answer about
how to "predict follow-up time" you will need to be more clear about what
you actually want, statistically. Mean time to failure? Median? RMST?
....
Terry T.
On 11/4/18 5:00 AM, r-help-request at r-project.org wrote:
I am trying to predict follow-up time using several survival models, both
parametric and semi-parametric. I achieve it for semi parametric models
using predict.coxph function in R from survival package using type =
"expected" as indicated in help. However, for parametric models, this
option doesn't exist for the predict.survreg function. Is there any other
option? Maybe using rms package?