Table 2.

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

Scenario	n	η	v	w	ε = 1			ε = 2
					H1(v, w)	Bias	MCSD	H2(v, w)	Bias	MCSD
I	200	3.0	0.4	0.4	0.28	5	47	0.28	3	58
			0.4	0.8	0.44	7	52	0.44	3	64
			0.8	0.4	0.35	4	51	0.35	4	60
			0.8	0.8	0.58	5	53	0.58	5	63
		5.0	0.4	0.4	0.26	8	44	0.26	6	55
			0.4	0.8	0.40	12	50	0.40	8	61
			0.8	0.4	0.32	9	48	0.32	8	56
			0.8	0.8	0.53	12	51	0.53	12	61
	500	3.0	0.4	0.4	0.28	2	29	0.28	3	38
			0.4	0.8	0.44	2	33	0.44	4	42
			0.8	0.4	0.35	2	31	0.35	3	40
			0.8	0.8	0.58	2	33	0.58	5	41
		5.0	0.4	0.4	0.26	3	26	0.26	4	35
			0.4	0.8	0.40	3	31	0.40	5	39
			0.8	0.4	0.32	3	28	0.32	5	38
			0.8	0.8	0.53	4	32	0.53	7	40
II	200	3.0	0.4	0.4	0.28	3	48	0.38	3	62
			0.4	0.8	0.44	3	53	0.59	7	63
			0.8	0.4	0.35	4	52	0.38	3	62
			0.8	0.8	0.58	4	52	0.64	8	62
		5.0	0.4	0.4	0.26	6	44	0.34	8	59
			0.4	0.8	0.40	8	50	0.53	15	61
			0.8	0.4	0.32	7	49	0.34	8	59
			0.8	0.8	0.53	10	50	0.57	16	61
	500	3.0	0.4	0.4	0.28	1	30	0.38	2	39
			0.4	0.8	0.44	1	32	0.59	2	42
			0.8	0.4	0.35	1	33	0.38	2	39
			0.8	0.8	0.58	1	33	0.64	1	42
		5.0	0.4	0.4	0.26	2	28	0.34	4	36
			0.4	0.8	0.40	3	31	0.53	6	41
			0.8	0.4	0.32	2	31	0.34	4	36
			0.8	0.8	0.53	4	33	0.57	5	41
III	200	3.0	0.4	0.4	0.28	6	47	0.56	3	61
			0.4	0.8	0.44	10	54	0.80	2	52
			0.8	0.4	0.35	6	51	0.56	3	61
			0.8	0.8	0.58	10	53	0.81	2	51
		5.0	0.4	0.4	0.26	11	44	0.55	5	61
			0.4	0.8	0.40	18	52	0.78	5	53
			0.8	0.4	0.32	13	48	0.55	5	61
			0.8	0.8	0.53	21	53	0.80	4	52
	500	3.0	0.4	0.4	0.28	1	28	0.56	4	37
			0.4	0.8	0.44	2	33	0.80	2	32
			0.8	0.4	0.35	1	31	0.56	4	37
			0.8	0.8	0.58	1	33	0.81	2	31
		5.0	0.4	0.4	0.26	3	26	0.55	4	37
			0.4	0.8	0.40	5	32	0.78	2	32
			0.8	0.4	0.32	4	29	0.55	4	37
			0.8	0.8	0.53	6	32	0.80	2	31