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. Author manuscript; available in PMC: 2012 Dec 1.
Published in final edited form as: Biometrics. 2011 Apr 19;67(4):1271–1284. doi: 10.1111/j.1541-0420.2011.01598.x

Table 3.

Results of the simulation study described in Section 5. Displayed are the empirical size (c = 0) and power (c = 2,…, 8) of the proposed garrote kernel machine (GKM) test using the two-way interaction kernel (KInt), the Gaussian kernel (KGauss), the PCA based test statistics Tn and Tn (KGauss,PCA1 and KGauss,PCA2) using the Gaussian kernel as in Section 3.3, and the usual F-test for different settings with n = 200 and M = 10. Also presented, for the linear cases (h1(·) and h2(·)), are the results for the ideal classical score tests assuming the direction of the alternative is known. The nominal level was set be α = 0.05.

Test r = 0.0 r = 0.2 r = 0.5

c = 0 c = 2 c = 4 c = 6 c = 8 c = 0 c = 2 c = 4 c = 6 c = 8 c = 0 c = 2 c = 4 c = 6 c = 8
h1(·) F-test 0.050 0.325 0.940 1.000 1.000 0.052 0.302 0.900 0.998 1.000 0.058 0.183 0.694 0.966 1.000
KInt 0.054 0.371 0.953 1.000 1.000 0.052 0.355 0.935 0.999 1.000 0.052 0.170 0.646 0.961 0.999
KGauss 0.052 0.706 1.000 1.000 1.000 0.051 0.668 0.998 1.000 1.000 0.051 0.487 0.948 1.000 1.000
KGauss,PCA1 0.049 0.716 0.996 1.000 1.000 0.049 0.644 0.996 1.000 1.000 0.048 0.453 0.953 0.999 1.000
KGauss,PCA2 0.049 0.721 0.999 1.000 1.000 0.049 0.654 0.995 1.000 1.000 0.048 0.477 0.963 1.000 1.000
Score test 0.051 0.799 1.000 1.000 1.000 0.055 0.756 0.998 1.000 1.000 0.049 0.644 0.990 1.000 1.000

h2(·) F-test 0.050 0.476 0.990 1.000 1.000 0.052 0.587 0.998 1.000 1.000 0.058 0.589 0.997 1.000 1.000
KInt 0.054 0.494 0.986 1.000 1.000 0.052 0.829 1.000 1.000 1.000 0.052 0.893 1.000 1.000 1.000
KGauss 0.052 0.715 1.000 1.000 1.000 0.051 0.701 0.999 1.000 1.000 0.051 0.611 0.988 1.000 1.000
KGauss,PCA1 0.049 0.730 0.997 1.000 1.000 0.049 0.744 0.997 1.000 1.000 0.048 0.719 0.998 1.000 1.000
KGauss,PCA2 0.049 0.737 0.996 1.000 1.000 0.049 0.774 0.999 1.000 1.000 0.048 0.709 0.999 1.000 1.000
Score test 0.051 0.884 0.999 1.000 1.000 0.055 0.992 1.000 1.000 1.000 0.049 1.000 1.000 1.000 1.000

h3(·) F-test 0.043 0.112 0.414 0.817 0.956 0.044 0.070 0.176 0.419 0.713 0.054 0.065 0.102 0.196 0.305
KInt 0.044 0.117 0.435 0.837 0.964 0.045 0.094 0.274 0.572 0.841 0.044 0.064 0.099 0.216 0.326
KGauss 0.049 0.274 0.828 0.989 1.000 0.051 0.253 0.690 0.922 0.987 0.052 0.168 0.443 0.715 0.894
KGauss,PCA1 0.046 0.293 0.803 0.981 0.999 0.051 0.234 0.641 0.912 0.986 0.051 0.153 0.439 0.712 0.866
KGauss,PCA2 0.046 0.295 0.819 0.983 0.999 0.051 0.244 0.652 0.914 0.984 0.051 0.171 0.459 0.721 0.881

h4(·) F-test 0.043 0.091 0.301 0.678 0.944 0.044 0.065 0.168 0.421 0.725 0.054 0.063 0.120 0.207 0.380
KInt 0.044 0.090 0.328 0.696 0.957 0.045 0.098 0.336 0.661 0.895 0.044 0.089 0.214 0.435 0.676
KGauss 0.049 0.190 0.700 0.963 0.996 0.051 0.201 0.560 0.857 0.970 0.052 0.133 0.349 0.634 0.835
KGauss,PCA1 0.046 0.226 0.691 0.964 0.996 0.051 0.177 0.524 0.848 0.972 0.051 0.128 0.331 0.619 0.844
KGauss,PCA2 0.042 0.215 0.690 0.963 0.996 0.053 0.174 0.534 0.853 0.977 0.051 0.124 0.342 0.606 0.889