BMC Medical Research Methodology

Table 3 Summary of the estimation results for the scenarios with the censoring rate is 20% and the county-level risk factor \(x_{1,i}\). Par: parameters; Bias: the bias of Monte Carlo average of parameter estimates; SD: Monte Carlo standard deviation of parameter estimates; MSE: mean squared error

From: Spatial-temporal Bayesian accelerated failure time models for survival endpoints with applications to prostate cancer registry data

		S1			S2			S3			S4
	Par	Bias	SD	MSE	Bias	SD	MSE	Bias	SD	MSE	Bias	SD	MSE
M1	\(\beta _1=1\)	-0.032	0.133	0.019	-0.017	0.134	0.018	-0.114	0.184	0.047	-0.015	0.134	0.018
	\(\beta _2=0.5\)	-0.016	0.028	0.001	-0.008	0.024	0.001	-0.057	0.085	0.011	-0.007	0.027	0.001
M2	\(\beta _1=1\)	-0.022	0.089	0.008	-0.025	0.090	0.009	-0.084	0.131	0.024	-0.020	0.080	0.007
	\(\beta _2=0.5\)	0.000	0.020	0.000	0.001	0.020	0.000	-0.006	0.030	0.001	-0.002	0.023	0.001
M3	\(\beta _1=1\)	-0.030	0.101	0.011	-0.016	0.101	0.010	-0.092	0.148	0.030	-0.009	0.101	0.010
	\(\beta _2=0.5\)	-0.012	0.022	0.001	-0.004	0.021	0.000	-0.045	0.063	0.006	-0.002	0.023	0.001

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ISSN: 1471-2288

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