Robust tests for matched case-control genetic association studies

BMC Genomic Data

Table 2 Type I error rates of Z_MTT(0), Z_MTT(0.5), Z_MTT(1), Z_SGMS, Z_SGME, Z_MAX3 and $Z_{χ^{2}}$ with 2 df based on 10,000 replicates in the presence of confounding factors with the significance level α using R cases and S controls.

Scenario	α	Z_MTT(0)	Z_MTT(0.5)	Z_MTT(1)	Z _SGMS	Z _SGME	Z _MAX3	$Z_{χ^{2}}$
A	0.05	0.0527	0.0498	0.0518	0.0501	0.0490	0.0527	0.0531
B		0.0487	0.0503	0.0493	0.0494	0.0502	0.0515	0.0481
C		0.0510	0.0512	0.0509	0.0506	0.0510	0.0513	0.0490
D		0.0526	0.0524	0.0537	0.0529	0.0528	0.0516	0.0484
E		0.0519	0.0512	0.0534	0.0536	0.0526	0.0501	0.0507
F		0.0485	0.0486	0.0479	0.0488	0.0467	0.0501	0.0481
G		0.0493	0.0497	0.0490	0.0492	0.0498	0.0457	0.0491
H		0.0522	0.0493	0.0480	0.0522	0.0521	0.0525	0.0522
A	0.01	0.0092	0.0081	0.0100	0.0083	0.0081	0.0075	0.0084
B		0.0096	0.0091	0.0106	0.0106	0.0103	0.0096	0.0101
C		0.0093	0.0101	0.0109	0.0108	0.0104	0.0101	0.0109
D		0.0121	0.0101	0.0098	0.0093	0.0093	0.0095	0.0105
E		0.0098	0.0094	0.0101	0.0093	0.0092	0.0083	0.0114
F		0.0109	0.0095	0.0106	0.0109	0.0102	0.0102	0.0109
G		0.0100	0.0094	0.0105	0.0114	0.0103	0.0111	0.0093
H		0.0087	0.0111	0.0104	0.0099	0.0103	0.0117	0.0107

A : R = (150, 150, 200), S = (300, 300, 400), P = (0.1, 0.3, 0.5), K = (0.01, 0.05, 0.02)
B : R = (100, 300, 100), S = (200, 600, 200), P = (0.1, 0.3, 0.5), K = (0.01, 0.05, 0.02)
C : R = (300, 300, 400), S = (300, 300, 400), P = (0.1, 0.3, 0.5), K = (0.01, 0.05, 0.02)
D : R = (200, 600, 200), S = (200, 600, 200), P = (0.1, 0.3, 0.5), K = (0.01, 0.05, 0.02)
E : R = (250, 250), S = (500, 500), P = (0.2, 0.4), K = (0.01, 0.02)
F : R = (150, 350), S = (300, 700), P = (0.2, 0.4), K = (0.01, 0.02)
G : R = (500, 500), S = (500, 500), P = (0.2, 0.4), K = (0.01, 0.02)
H : R = (300, 700), S = (300, 700), P = (0.2, 0.4), K = (0.01, 0.02)

ISSN: 2730-6844