# Constructing hazard for x-year survival in cox models

If a person wants to assess the 1,5, or 10 year survival of a group of patients how should they consider right censoring for the patients? Between these 2 options what would be best for this 5 year survival (and are they going to even give different hazards ratios)

1. Construct the right censor to be censor = alive at 5 years or lost to follow up before 5 years and then include that in a cox model like so using the survival package in R coxph(Surv(time_to_death, event=censor_five) ~ age, data = data_surv)

OR

1. construct the right censor based on total time such that censor= no record of death run the same cox model coxph(Surv(time_to_death, event=censor_total) ~ age, data = data_surv)
• How well do you expect the proportional hazards assumption to hold at the late times, after your time point of primary interest?
– EdM
Jun 25 at 2:50