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

Published in final edited form as: J R Stat Soc Series B Stat Methodol. 2016 Apr 14;79(2):573–587. doi: 10.1111/rssb.12177

Table 2.

Simulation results for the Fine and Gray methods in the estimation of β₁₁ under mis-specified censoring distributions^†

		NPMLE			FG			FG*
		Bias	SE	MSE	Bias	SE	MSE	Bias	SE	MSE
1	100	0.002	0.396	0.157	−0.119	0.404	0.177	−0.054	0.414	0.174
	200	0.003	0.270	0.073	−0.116	0.275	0.089	−0.049	0.275	0.078
	500	−0.003	0.161	0.026	−0.114	0.161	0.039	−0.053	0.165	0.030
2	100	0.002	0.395	0.156	−0.231	0.401	0.214	−0.031	0.418	0.176
	200	0.002	0.266	0.071	−0.223	0.282	0.129	−0.028	0.281	0.080
	500	−0.001	0.155	0.024	−0.227	0.163	0.078	−0.027	0.173	0.032

^†

FG and FG* are based on the Kaplan-Meier estimator and proportional hazards model for the censoring distribution, respectively. Bias and SE are the bias and standard error of the parameter estimator; MSE is the mean square error. Each entry is based on 10,000 replicates.