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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.

1 vote
1 answer
584 views

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 …
neophyte1's user avatar
2 votes
0 answers
163 views

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 …
neophyte1's user avatar