Table 3.

Power of RGC-corrected tests- nominal level 0.05, K = 200, a = (300, 200), b = (200, 300).

F	MAF	Model	T0	T1/2	T1
0.01	p = 0.2	DOM(f0 = 0.1, f1 = f2 = 0.15)	0.134	0.791	0.857	0.777
		ADD(f0 = 0.1, f1 = 0.17, f2 = 0.24)	0.401	0.805	0.781	0.734
		REC(f0 = f1 = 0.1, f2 = 0.2)	0.803	0.378	0.130	0.728
	p = 0.4	DOM(f0 = 0.1, f1 = f2 = 0.15)	0.179	0.704	0.852	0.780
		ADD(f0 = 0.1, f1 = 0.14, f2 = 0.18)	0.701	0.905	0.856	0.866
		REC(f0 = f1 = 0.1, f2 = 0.2)	0.995	0.936	0.418	0.990
0.02	p = 0.2	DOM(f0 = 0.1, f1 = f2 = 0.15)	0.129	0.682	0.767	0.674
		ADD(f0 = 0.1, f1 = 0.17, f2 = 0.24)	0.362	0.698	0.689	0.636
		REC(f0 = f1 = 0.1, f2 = 0.2)	0.753	0.333	0.130	0.687
	p = 0.4	DOM(f0 = 0.1, f1 = f2 = 0.15)	0.179	0.704	0.852	0.780
		ADD(f0 = 0.1, f1 = 0.14, f2 = 0.18)	0.655	0.853	0.811	0.809
		REC(f0 = f1 = 0.1, f2 = 0.2)	0.987	0.876	0.403	0.974

The frequencies of null markers are randomly selected from [0.1, 0.5].