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. Author manuscript; available in PMC: 2017 Mar 1.
Published in final edited form as: Scand Stat Theory Appl. 2015 Jun 5;43(1):103–122. doi: 10.1111/sjos.12167

Scenario 1 Censoring times are independent of Z:
 Generate censoring times from an exponential distribution ~ exp(λC)
 Set λC = 0.556 for 30% censoring, λC = 1.342 for 50% censoring

Scenario 2 Censoring times depend on Z by a Cox model:
 Generate censoring times from a Cox model, λC(t|Z) = λC exp(βCZ)
 Set βC = 2.5 and λC = 0.137 for 30% censoring
 Set βC = 2.5 and λC = 0.391 for 50% censoring

Scenario 3 Censoring times depend on Z, not by a Cox model:
C ~ U(0.25, 4.00), if Z = 0, C ~ U(0.07, 1.12), if Z = 1 for 30% censoring
C ~ U(0.25, 2.00), if Z = 0, C ~ U(0.06, 0.46), if Z = 1 for 50% censoring