Table 3.

Bias, standard error (SE), standard deviation (SD), and coverage probabilities (CP) of 95% credible intervals, for the separate model and the joint model, when there is sizeable inter-process correlation.

Parameter	Separate Model					Joint Model
	Bias	SE	SD	CP	RMSE	Bias	SE	SD	CP	RMSE
β10 = 0.186	−0.002	0.010	0.009	0.948	0.010	−0.001	0.010	0.010	0.958	0.010
β11 = −1.217	−0.030	0.024	0.025	0.766	0.039	−0.006	0.025	0.026	0.926	0.027
β20 = −1.031	−0.002	0.026	0.024	0.950	0.024	−0.006	0.031	0.033	0.922	0.034
β21 = 1.217	−0.028	0.024	0.022	0.848	0.036	−0.004	0.026	0.027	0.926	0.027
β30 = 0.405	−0.007	0.026	0.026	0.948	0.027	−0.004	0.025	0.026	0.934	0.027
β31 = −2.603	0.032	0.063	0.063	0.886	0.070	0.002	0.064	0.066	0.938	0.066
β40 = −2.000	−0.001	0.011	0.012	0.930	0.012	0.000	0.012	0.012	0.922	0.012
β41 = 1.000	0.006	0.016	0.016	0.910	0.017	0.000	0.017	0.017	0.952	0.017
σ11 = 0.090	−0.002	0.009	0.010	0.924	0.010	−0.003	0.010	0.011	0.922	0.011
σ21 = −0.010	−0.003	0.011	0.011	0.908	0.012	0.002	0.020	0.022	0.932	0.023
σ22 = 0.160	0.005	0.023	0.024	0.950	0.024	−0.009	0.040	0.044	0.942	0.044
σ31 = −0.120	0.002	0.015	0.016	0.904	0.016	0.003	0.017	0.019	0.924	0.019
σ32 = 0.050	−0.003	0.032	0.035	0.920	0.035	−0.007	0.044	0.045	0.924	0.046
σ33 = 0.250	0.010	0.060	0.059	0.960	0.059	−0.013	0.061	0.063	0.944	0.064
σ44 = 0.360	0.001	0.014	0.015	0.910	0.015	0.002	0.014	0.015	0.916	0.015
σ41 = −0.050						0.001	0.008	0.010	0.930	0.010
σ42 = −0.040						0.006	0.016	0.019	0.918	0.020
σ43 = 0.050						0.003	0.017	0.019	0.944	0.019

Note: Large bias and poor CP are highlighted in boldface.