Reputation: 41
I am trying to get proportional hazards for the survival object.
survobj1_2 <- Surv(time = as.numeric(set_1_2$int_1), time2 = as.numeric(set_1_2$int_2),
type = 'interval2')
I have tried using coxph() but it does not deal with interval censored data. I there any way around it?
I would also like to know if there is a way around for graphical diagnostics as well, similar to ggcoxzph(), which produces graphs (scaled schoenfeld residuals against transformed time)for each covariate?
Upvotes: 1
Views: 46