Hello Therry,
it´s really great to receive some feedback from a pro. I´m not sure if
I´ve got the point right:
You suppose that the cox-model isn´t good at forecasting an expected
survival time because of the issues with the prediction of the
survival-function at the right tail and one should
Hi,
I just came across another question concerning predict.coxph
Terry Therneau states in A Package for Survival Analysis in S that
term - predict(fit, type=terms)
yields predicted values for the individual components of the linear
predictor X*beta
My coxmodel looks like:
coef
You are mostly correct.
Because of the censoring issue, there is no good estimate of the mean survival
time. The survival curve either does not go to zero, or gets very noisy near
the right hand tail (large standard error); a smooth parametric estimate is
what
is really needed to deal with
Hi,
if I got it right then the survival-time we expect for a subject is the
integral over the specific survival-function of the subject from 0 to t_max.
If I have a trained cox-model and want to make a prediction of the
survival-time for a new subject I could use
survfit(coxmodel,
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