Table 3 Estimates of power and type I error rates of MBMDR-PC with population structure captured by linear, kernel, and ncMCE principal components and MBMDR-GC, with a nominal 0.05 FWER level

From: Performance of model-based multifactor dimensionality reduction methods for epistasis detection by controlling population structure

	MBMDR-GC		MBMDR-PC
			Linear PCA		Kernel PCA		ncMCE
Sample sizes	200	500	200	500	200	500	200	500
Type I
Error Rates	0.077	0.085	0.052	0.054	0.054	0.050	0.047	0.055
Power
Model 1	0.945	0.735^a	0.927	0.730^a	1.000	0.740^a	0.929	0.770^a
Model 2	0.805	0.131^a	0.846	0.404^a	0.864	0.560^a	0.895	0.556^a
Model 3	0.653	0.954	0.658	1.000	0.731	0.970	0.669	0.968
Model 4	0.483	0.956	0.481	0.960	0.476	0.945	0.490	0.960
Model 5	0.074	0.784	0.259	0.950	0.238	0.950	0.258	0.958
Model 6	0.161	0.918	0.447	0.970	0.421	0.970	0.446	0.956

^aThe values are close to 1 when the power is calculated based on all significant interactions that include the true signal

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ISSN: 1756-0381

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