Table 2.

Calibrated prior parameters for each model and the corresponding PCS under 4 calibration scenarios. GM is the geometric mean of the PCS across the four scenarios. Results are based on 500 replications.

Model	${\mathit{\beta }}_0$	${\mathit{\beta }}_1$	${\mathit{\beta }}_2$	${\mathit{\beta }}_3$	Sc 2.1	Sc 2.2	Sc 6.1	Sc 6.2	GM
M$0^{\left(0\right)}$	$\mathcal{N}$(0,10)	G(1,1)	G(1,1)	$\mathcal{N}$(0,10)	-	-	-	-	-
M0	$\mathcal{N}$(0,1)	G(1,1)	G(1,1)	$\mathcal{N}$(0,100)	44.6	38.8	45.0	55.6	45.6
M1	$\mathcal{N}$(0,400)	G(1,1)	G(10,10)	-	41.3	40.8	43.3	40.5	41.4
M2	-	G(1,1)	G(1,1)	$\mathcal{N}$(0,100)	32.1	26.0	40.2	76.2	39.9