Dear all,
I'm struggling with predicting "expected time until death" for a coxph and
survreg model.
I have two datasets. Dataset 1 includes a certain number of people for which
I know a vector of covariates (age, gender, etc.) and their event times
(i.e., I know whether they have died and when if death occurred prior to the
end of the observation period). Dataset 2 includes another set of people for
which I only have the covariate vector. I would like to use Dataset 1 to
calibrate either a coxph or survreg model and then use this model to
determine an "expected time until death" for the individuals in Dataset 2.
For example, I would like to know when a person in Dataset 2 will die, given
his/ her age and gender.
I checked predict.coxph and predict.survreg as well as the document "A
Package for Survival Analysis in S" written by Terry M. Therneau but I have
to admit that I'm a bit lost here.
Could anyone give me some advice on how this could be done?
Thanks very much in advance,
Michael
Michael Haenlein
Professor of Marketing
ESCP Europe
Paris, France
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