Table 2.

Summary of performances of estimates from different methods when data is simulated from a JLCM with opposite covariate effects on recurrence and termination risks: RB is the relative bias, SD is the average posterior Standard-Deviation, and RMSE is the square-root of mean square error based on 500 replicates.

		n=100			n=400
Methods	Parameter	RB	SD	RMSE	RB	SD	RMSE
JLCM with uniform prior for η	α	−0.034	0.423	0.017	−0.009	0.311	0.011
	β	0.004	0.174	0.004	0.004	0.151	0.003
	γ	0.066	0.284	0.066	0.047	0.236	0.044
	η1	0.035	0.230	0.014	0.008	0.222	0.009
	η2	0.033	0.373	0.026	0.005	0.364	0.015
	K	0.150	0.813	0.300	0.114	0.747	0.280
JLCM with Cauchy prior for η	α	−0.076	0.411	0.038	−0.026	0.330	0.033
	β	−0.050	0.166	0.050	−0.016	0.136	0.034
	γ	0.068	0.283	0.068	0.051	0.256	0.062
	η1	−0.938	0.031	0.375	−0.653	0.013	0.328
	η2	−0.895	0.096	0.716	−0.613	0.018	0.686
	K	0.923	0.333	1.846	0.935	0.313	1.548
Shared-frailty Model	β	−0.049	0.218	0.222	−0.024	0.217	0.197
	γ	0.186	0.327	0.375	0.173	0.259	0.376