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2009 Mar 25
2
Competing risks Kalbfleisch & Prentice method
...he aforementioned package does, but it does not allow to
adjust for a vector of covariates.
My question is, is there an R package that implements the Kalbfleisch &
Prentice method for competing risks with covariates?
for example, if k1 is the cause of interest among k competing causes:
P_k1(t; x)=P(T<=t, cause=k1|x)=Sum(u=0, ..., u=t) {hazard_k(u;x)*S(u;x)}
where S(u;x) = exp{-sum_of_k(sum(hazard_k(u))}
I have searched extensively for an implementation of this in many
packages, but it appears that more complex approaches are more commonly
implemented, such as timereg package....