Table 1.

Summary of the simulation results for conditional cumulative incidence functions. Bias and MCSD are the empirical bias (×1000) and the empirical standard deviation (×1000) of the 1000 estimated conditional cumulative incidence functions.

SCE	Size	η	t	ε = 1			ε = 2
				G1(t)	Bias	MCSD	G2(t)	Bias	MCSD
I	200	3.0	0.6	0.31	5	49	0.31	5	58
			1.4	0.69	4	51	0.69	5	60
		5.0	0.6	0.28	9	46	0.28	8	55
			1.4	0.63	13	51	0.63	13	60
	500	3.0	0.6	0.31	3	30	0.31	4	39
			1.4	0.69	2	32	0.69	4	41
		5.0	0.6	0.28	4	27	0.28	5	36
			1.4	0.63	5	32	0.63	7	41
II	200	3.0	0.6	0.31	3	50	0.38	3	62
			1.4	0.69	3	50	0.70	9	60
		5.0	0.6	0.28	6	47	0.34	9	59
			1.4	0.63	10	51	0.63	18	59
	500	3.0	0.6	0.31	1	31	0.38	3	40
			1.4	0.69	2	31	0.70	0	40
		5.0	0.6	0.28	2	29	0.34	5	37
			1.4	0.63	5	31	0.63	5	40
III	200	3.0	0.6	0.31	6	48	0.56	4	61
			1.4	0.69	9	49	0.86	1	45
		5.0	0.6	0.28	11	46	0.55	5	61
			1.4	0.63	22	50	0.85	4	46
	500	3.0	0.6	0.31	2	29	0.56	3	37
			1.4	0.69	2	32	0.86	1	28
		5.0	0.6	0.28	4	27	0.55	3	37
			1.4	0.63	8	32	0.85	2	29