

 


 
 Dear R users,



is there a way to perform a competing risk model which can handle time dependent covariates ?



my main covariate (additional treatment to patients) violates 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, I need to use a competing risk model because a large number of patients dies from toxicity not related to the treatment I m evaluating its effect or from events unrelated to the disease or the treatment (elderly
patients). Therefore, 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 in CMPRSK !!!???

Any help will be greatly appreciated 

Thanks

Yours sincerely





 




Philippe Guardiola



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