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 but not before (this is expected / makes sense on a clinical point of
view). SO I was planning to use a time dependent Cox model with 2 time
intervals for patients < > 1 year etc...
However, a large number of patients dies from treatment related complications
of unrelated to the disease and the treatment (elderly patients) so to analyze
the effect of my covariate of interest on disease free survival and relapse
incidence, I d like to use a competing risk model such as the Gray CMPRSK.
My problem is that I cannot have multiple "lines" for the same patient with
this package (for time dep covariates 2 or 3 lines with same Id /UPN).
How can I manage this !!!???
Any help will be greatly appreciated
Thanks
Yours sincerely
Philippe Guardiola
[[alternative HTML version deleted]]
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
