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Cox proportional hazards regression is a semi-parametric method for survival analysis. No distributional form needs to be assumed, only that the effect of one-unit increase in a covariate is a constant multiple.
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Step functions for non-proportional hazards
I have a stratified Cox model with covariates ("big") which violate proportional hazard assumptions:
model0 <- coxph(Surv(t_start, t_stop, status) ~ big + strata(prov), data=labor)
cox.zph output is …
1
vote
1
answer
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Step function in Cox Model
I have a stratified Cox model with a covariate which violates proportional hazard assumptions:
data(veteran)
toy <- coxph(Surv(time, status) ~ trt + prior + karno, data=veteran)
So I perform a step f …