I'm trying to estimate a cox proportional hazards regression for repeated
events (in gap time) with time varying covariates. The dataset consists of
just around 6000 observations (lines) (110 events).
The (stylized) data look as follows:
unit dur0 dur1 eventn event ongoing x
1 01
> The help says that the exact method is computationally demanding, but even
> after days the computing it won't finish. Also, if I include a frailty-term,
> the exact method gives me results in no time. Is my setup incorrect?
Assume that at some particular time point there are k deaths and n su
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