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. 2021 Feb 5;49(7):1784–1801. doi: 10.1080/02664763.2021.1882407

Table 1.

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

n=20		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	0.31166	0.46562	0.56964	0.28339	0.38589	0.45099
ML	MSE	2.20604	4.13323	6.00515	2.21305	3.85869	5.26992
Uniform SELF	Estimate	0.33451	0.47848	0.57189	0.29453	0.39727	0.462
Uniform SELF	MSE	1.00098	1.9108	2.71769	1.30191	2.28909	3.12379
Jeffrey’s SELF	Estimate	0.31197	0.43964	0.52189	0.26571	0.3514	0.4049
Jeffrey’s SELF	MSE	1.00382	1.88687	2.65315	1.34578	2.26356	2.98688
Half-t SELF	Estimate	0.32014	0.48209	0.5946	0.29548	0.40765	0.48072
Half-t SELF	MSE	2.08172	4.12568	6.37563	2.05055	3.70597	5.19398
Uniform LLF p=1.5	Estimate	0.32597	0.46312	0.55047	0.28569	0.38265	0.44251
Uniform LLF p=1.5	MSE	0.94103	1.77863	2.49443	1.23144	2.10907	2.81362
Jeffrey’s LLF p=1.5	Estimate	0.30335	0.42442	0.5009	0.25726	0.33775	0.38697
Jeffrey’s LLF p=1.5	MSE	0.97306	1.85059	2.60594	1.31385	2.1903	2.85998
Half-t LLF p=1.5	Estimate	0.30824	0.45992	0.56242	0.28435	0.38865	0.45486
Half-t LLF p=1.5	MSE	1.88908	3.50911	5.08124	1.85609	3.15865	4.22126
Uniform LLF p=−1.5	Estimate	0.34346	0.49447	0.59423	0.30392	0.41285	0.48291
Uniform LLF p=−1.5	MSE	1.07572	2.08256	3.01731	1.39152	2.51823	3.52356
Jeffrey’s LLF p=−1.5	Estimate	0.32108	0.45568	0.54411	0.27476	0.3661	0.42439
Jeffrey’s LLF p=−1.5	MSE	1.04877	1.95989	2.76975	1.39482	2.37913	3.18899
Half-t LLF p=−1.5	Estimate	0.33345	0.50769	0.63363	0.30792	0.42955	0.51154
Half-t LLF p=−1.5	MSE	2.34904	5.05913	8.61909	2.31487	4.51397	6.76714