Scenario 1	Censoring times are independent of Z1 and Z2
	Generate censoring times from an exponential distribution ~ exp(λC)
	Set λC = 0.547 for 30% censoring, λC = 1.352 for 50% censoring
Scenario 2	Censoring times depend on Z1 by a Cox model
	Generate censoring times from λC(t|Z) = λC exp(βC1Z1)
	Set βC1 = 2.5. Set λC = 0.137 for 30% censoring,
	λC = 0.397 for 50% censoring
Scenario 3	Censoring times depend on Z1 and Z2 by a Cox model
	Generate censoring times from λC(t|Z) = λC exp(βC1Z1 + βC2Z2)
	Set βC1 = 2.5, βC2 = 2.5. Set λC = 0.082 for 30% censoring,
	λC = 0.389 for 50% censoring
Scenario 4	Censoring times depend on Z1, not by a Cox model
	C ~ U(0.25, 4.00), if Z1 = 0, C ~ U(0.07, 1.14), if Z1 = 1 for 30% censoring
	C ~ U(0.25, 2.00), if Z1 = 0, C ~ U(0.06, 0.438), if Z1 = 1 for 50% censoring