Table 2.

ML, Bayes estimates and their MSEs for cumulative cause-specific hazard function.

n=50		Cause 1			Cause 2
Time points		0.5	0.8	1.0	0.5	0.8	1.0
True value		0.314	0.44962	0.53625	0.28856	0.37611	0.429
ML	Estimate	0.32066	0.46474	0.55824	0.29061	0.38786	0.44788
	MSE	0.8354	1.55794	2.1983	0.74852	1.26721	1.70019
Uniform SELF	Estimate	0.32794	0.47099	0.56348	0.29274	0.39201	0.45372
	MSE	0.63491	1.2246	1.74489	0.6313	1.10369	1.50926
Jeffrey’s SELF	Estimate	0.31936	0.45555	0.54327	0.28203	0.37407	0.431
	MSE	0.60652	1.14631	1.6161	0.61198	1.03107	1.37589
Half-t SELF	Estimate	0.32141	0.46655	0.56153	0.2933	0.39373	0.45637
	MSE	0.76166	1.43693	2.04978	0.66527	1.16057	1.59296
Uniform LLF p=1.5	Estimate	0.32371	0.46357	0.55326	0.28869	0.38545	0.44508
	MSE	0.60848	1.15968	1.63327	0.60978	1.04355	1.40429
Jeffrey’s LLF p=1.5	Estimate	0.31518	0.44827	0.53328	0.27808	0.36775	0.42274
	MSE	0.58685	1.10334	1.54473	0.59926	0.99546	1.31283
Half-t LLF p=1.5	Estimate	0.31678	0.45853	0.55053	0.28907	0.38689	0.44736
	MSE	0.73123	1.35034	1.89116	0.64019	1.08991	1.46941
Uniform LLF p=−1.5	Estimate	0.33231	0.47868	0.5741	0.29696	0.39886	0.46279
	MSE	0.66571	1.30204	1.88046	0.65722	1.17594	1.63629
Jeffrey’s LLF p=−1.5	Estimate	0.32369	0.4631	0.55366	0.28613	0.38068	0.4397
	MSE	0.6304	1.20124	1.71018	0.62872	1.07744	1.45826
Half-t LLF p=−1.5	Estimate	0.32624	0.47496	0.57317	0.2977	0.4009	0.4659
	MSE	0.79855	1.54436	2.25055	0.69574	1.2468	1.74554