This message was also sent to the MEDSTATS mailing list, so here is the reply I
posted to that:
Philippe,
The machinery to use is to split follow-up time so finely that you can safely
assume that rates are constant in each interval, and then just stuff it all
into a Poisson model. This allows
Dear R users,
is there a way, I mean a package, to perform a competing risk model which can
handle time dependent covariates ?
my main covariate (additional treatment to patients) appears not to follow the
proportional hazards assumption, its effect being observed after one year of
treatment
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