Table II.

The coverage probability (cvpr) of confidence intervals and average mean squared error values (MSE) of parameter estimates on a continuous clinical outcome.

	K	Method	Case		β	σ	τ	ρ
n = 60 p = 5	GK	LIKE	2	cvpr ×100	97	96	91	90
				MSE	0.0053	0.0247	0.0483	0.0623
		BHM		cvpr ×100	98	96	93	91
				MSE	0.0044	0.0149	0.0295	0.0452
	P2K	LIKE	3	cvpr ×100	98	93	95	N/A
				MSE	0.0053	0.0485	0.0252	N/A
		BHM		cvpr ×100	98	94	96	N/A
				MSE	0.0050	0.0478	0.0224	N/A
	P1K	LIKE	4	cvpr ×100	97	93	95	N/A
				MSE	0.0051	0.0104	0.0165	N/A
		BHM		cvpr ×100	97	93	95	N/A
				MSE	0.0043	0.0089	0.0132	N/A
n = 60 p = 200	GK	LIKE	2	cvpr ×100	89	87	87	80
				MSE	0.0321	0.0436	0.0424	0.1261
		BHM		cvpr ×100	89	89	88	81
				MSE	0.0282	0.0264	0.0372	0.1095
	P2K	LIKE	3	cvpr ×100	86	63	87	N/A
				MSE	0.0478	0.4683	0.0388	N/A
		BHM		cvpr ×100	86	64	88	N/A
				MSE	0.0461	0.4368	0.0313	N/A
	P1K	LIKE	4	cvpr ×100	86	65	82	N/A
				MSE	0.0486	0.2984	0.0583	N/A
		BHM		cvpr ×100	87	67	85	N/A
				MSE	0.0381	0.2328	0.0550	N/A

LIKE = LLG’s likelihood-based approach with kernel K; BHM = Bayesian approach on hierarchical model with kernel K; GK = Gaussian kernel; P2K = quadratic kernel; P1K = linear kernel.