Table I.

Estimated type I error rate and power on a continuous clinical outcome.

		Case	GK			Kernel (K) P2K			P1K
			LIKE	BHM	BHM (BF)	LIKE	BHM	BHM (BF)	LIKE	BHM	BHM (BF)
n = 60 p = 5	Type I Power	0	0.04	0.04	0.05	0.04	0.04	0.05	0.04	0.04	0.05
		1	0.99	0.99	1	0.97	0.98	1	0.97	0.98	1
		2	0.90	0.94	0.97	0.85	0.86	0.89	0.65	0.66	0.70
		3	0.86	0.89	0.91	0.91	0.93	0.95	0.86	0.87	0.89
		4	0.84	0.86	0.89	0.77	0.80	0.82	0.92	0.93	0.95
		5	0.77	0.78	0.81	0.73	0.74	0.78	0.72	0.73	0.77
n = 60 p = 200	Type I Power	0	0.03	0.03	0.04	0.03	0.03	0.04	0.03	0.03	0.04
		1	0.84	0.85	0.89	0.83	0.85	0.89	0.82	0.83	0.87
		2	0.81	0.82	0.87	0.74	0.77	0.81	0.56	0.60	0.61
		3	0.77	0.79	0.81	0.80	0.82	0.84	0.74	0.79	0.79
		4	0.73	0.73	0.77	0.63	0.64	0.66	0.80	0.84	0.88
		5	0.72	0.73	0.76	0.71	0.72	0.75	0.70	0.72	0.75

LIKE = LLG’s likelihood-based approach with kernel K by using a resampling-based inference; BHM = Bayesian approach on hierarchical model by using a resampling-based inference; BHM (BF) = Bayesian approach on hierarchical model by using an inference based on the Bayes factor; GK = Gaussian kernel; P2K = quadratic kernel; P1K = linear kernel.