Table III.

Estimated type I error rate and power on a binary outcome.

		Case	GK			Kernel (K) P2K			P1K
			LIKE	BHLM	BHLM (BF)	LIKE	BHLM	BHLM (BF)	LIKE	BHLM	BHLM (BF)
n = 60 p = 5	Type I Power	6	0.044	0.044	0.053	0.044	0.045	0.054	0.044	0.044	0.051
		7	1	1	1	1	1	1	1	1	1
		8	0.92	0.95	1	0.86	0.87	0.91	0.66	0.68	0.72
		9	0.78	0.78	0.82	0.74	0.74	0.78	0.73	0.74	0.78
n = 60 p = 200	Type I Power	6	0.037	0.037	0.042	0.036	0.036	0.041	0.038	0.038	0.04
		7	0.85	0.86	0.89	0.84	0.86	0.89	0.83	0.83	0.89
		8	0.82	0.82	0.87	0.76	0.77	0.81	0.57	0.60	0.64
		9	0.73	0.73	0.77	0.72	0.72	0.75	0.71	0.72	0.75

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