. Author manuscript; available in PMC: 2018 Jun 1.

Published in final edited form as: Can J Stat. 2017 Apr 13;45(2):202–219. doi: 10.1002/cjs.11317

Table 1.

Summary of 1, 000 simulations of the proposed method by combining incident and prevalent cohorts: empirical bias (Bias), empirical standard error (ESE), asymptotic standard error (ASE), and coverage probability (CP).

Sample Size (m,n)		Scenario I: C₁% = 60%, C₂% = 40%						Scenario II: C₁% = 40%, C₂% = 20%
Sample Size (m,n)		γ = (0.1, 0.4, 0.4, 0.4)				(α, β) = (0.5,1)		γ = (0.1, 0.4, 0.4, 0.4)				(α, β) = (0.5,1)
(200, 200)	Bias	-.003	.021	.008	.018	.028	-.007	-.003	.021	.008	.018	.023	-.021
	ESE	.163	.157	.156	.155	.155	.576	.163	.157	.156	.155	.127	.482
	ASE	.152	.158	.159	.159	.160	.583	.152	.158	.159	.159	.134	.498
	CP	.938	.958	.956	.970	.964	.962	.938	.958	.956	.970	.964	.962
(400, 200)	Bias	.000	.014	-.003	-.005	.012	-.013	.000	.014	-.003	-.005	.012	.006
	ESE	.102	.114	.118	.114	.136	.463	.102	.114	.118	.114	.112	.395
	ASE	.106	.110	.111	.110	.133	.460	.106	.110	.111	.110	.111	.392
	CP	.960	.946	.912	.944	.940	.960	.960	.946	.912	.944	.952	.952
(600, 200)	Bias	.002	.010	.008	.007	.018	.002	.002	.010	.008	.007	.015	-.004
	ESE	.086	.090	.090	.086	.125	.402	.086	.090	.090	.086	.105	.338
	ASE	.087	.090	.090	.090	.117	.389	.087	.090	.090	.090	.097	.328
	CP	.948	.954	.948	.958	.932	.946	.948	.954	.948	.958	.930	.948

C₁% and C₂%: the respective censoring rates of the incident cohort and prevalent cohort