Table 6.

Mean squared error of prediction (×10⁻²) for cluster-specific random effects based on six analyses described in Section 5.2, across six data scenarios given in Table 3. Throughout values are based on results from R=500 simulated datasets.

Scenario		Weibull -MVN	Weibull -DPM	Weibull -SF		PEM -MVN	PEM -DPM	Spline -SF
					%F†				%F
1	V1	5.25	5.27	6.40	17.8	5.27	5.27	6.39	0.2
	V2	7.66	7.70	8.70		7.67	7.72	8.68
	V3	9.91	9.95	12.13		9.91	9.96	12.11
2	V1	6.36	6.41	8.10	10.4	6.37	6.41	8.09	0.0
	V2	8.76	8.85	10.23		8.77	8.86	10.20
	V3	11.13	11.19	13.85		11.13	11.19	13.91
3	V1	5.03	5.04	6.27	15.8	5.04	5.04	6.22	0.0
	V2	6.34	6.34	8.28		6.36	6.36	8.24
	V3	7.55	7.49	11.66		7.57	7.55	11.69
4	V1	3.84	3.85	4.99	12.8	3.87	3.87	5.01	0.4
	V2	6.25	6.27	7.19		6.25	6.27	7.12
	V3	7.89	7.90	9.57		7.90	7.91	9.52
5	V1	6.95	6.26	10.87	12.8	6.96	6.27	10.86	0.2
	V2	11.52	10.50	14.95		11.50	10.52	14.92
	V3	15.46	14.66	25.04		15.46	14.72	24.94
6	V1	5.05	5.01	6.34	5.4	4.89	4.85	6.26	1.4
	V2	7.58	7.55	8.60		7.41	7.39	8.49
	V3	6.72	6.65	13.42		6.44	6.40	13.70

^†% of times SF models yield at least one of V̂_j being −∞, resulting in MSEP being ∞