Table B1.

The left side of the table contains the estimated posterior quantiles q.025, q.500, q.975 (obtained with the Oregon data), which were used as population values for the data simulation. At the right side of the table, the estimated posterior quantiles are listed for the model identical model that was applied on the simulated data.

		Depressed			Simulated
	Description	q.025	q.7.500	q.975	q.025	q.500	q.975
	Hierarchical parameters μ
αμ1	HM for general mean HR	76.19	78.96	81.69	76.22	79.11	82.02
αμ2	HM for general mean BP	88.67	91.82	94.88	91.52	95.52	99.36
βμ1	HV for general mean HR	91.33	127.71	184.43	96.32	140.57	211.22
βμ2	HV for general mean BP	113.90	158.09	229.16	191.16	266.25	384.84
	Hierarchical parameters Φ1
αϕ[1,1]1	HM for AR effect HR	0.85	0.93	1.00	0.59	0.66	0.73
αϕ[1,2]1	HM for CR effect BP → HR	−0.22	−0.17	−0.11	−0.17	−0.11	−0.04
αϕ[2,1]1	HM for CR effect HR→ BP	0.11	0.17	0.23	0.05	0.12	0.19
αϕ[2,2]1	HM for AR effect BP	0.33	0.40	0.47	0.27	0.34	0.41
βϕ[l,l]l	HV for AR effect HR	0.03	0.04	0.07	0.03	0.05	0.07
βϕ[1,2]1	HV for CR effect BP → HR	0.02	0.04	0.05	0.03	0.05	0.08
βϕ[2,1]1	HV for CR effect HR → BP	0.02	0.04	0.06	0.04	0.06	0.09
βϕ[2,2]1	HV for AR effect BP	0.04	0.06	0.09	0.04	0.05	0.08
	Hierarchical parameters Δ
αδ1	HM for effect AP → HR	−0.88	−0.38	0.13	−0.46	−0.23	−0.01
αδ2	HM for effect AP → BP	−0.12	0.38	0.86	0.19	0.39	0.59
βδ1	HV for effect AP → HR	0.30	1.08	3.49	0.24	0.46	0.82
βδ2	HV for effect AP → BP	0.13	0.41	1.26	0.10	0.22	0.45
	Error variances
${\sigma }_{\epsilon ,1}^2$	Measurement error variance HR	0.49	0.82	1.30	2.26	3.19	4.36
${\sigma }_{\epsilon ,2}^2$	Measurement error variance BP	0.12	0.40	0.99	5.33	7.08	9.25
${\sigma }_{\eta ,1}^2$	Innovation variance HR	14.63	15.47	16.39	18.57	19.91	21.35
${\sigma }_{\eta ,2}^2$	Innovation variance BP	21.57	22.65	23.78	21.19	22.70	24.27