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. Author manuscript; available in PMC: 2014 Apr 1.
Published in final edited form as: Genet Epidemiol. 2013 Mar 7;37(3):276–282. doi: 10.1002/gepi.21721

Table 2.

Empirical power (and mean number of prognostic genes selected in the prediction models) from 100 simulation data sets under β1 = β2 = β3 = 0.3, p = 200, n = 200, and block compound symmetry correlation structure with a block size of 20 and a correlation coefficient of ρ = 0.2. The power for CV methods are approximated by 200 permutations.

Censoring proportion Resampling method Select top
Three genes Six genes
15% 50-50 hold-out 0.63 (1.81) 0.51 (2.22)
70-30 hold-out 0.63 (2.23) 0.59 (2.74)
Twofold CV 0.86 (1.83) 0.81 (2.33)
Fivefold CV 0.95 (2.50) 0.90 (2.79)
10-fold CV 0.95 (2.61) 0.88 (2.87)
LOOCV 0.92 (2.74) 0.62 (2.94)
30% 50-50 hold-out 0.62 (1.69) 0.54 (2.11)
70-30 hold-out 0.63 (2.07) 0.50 (2.51)
Twofold CV 0.71 (1.55) 0.71 (2.11)
Fivefold CV 0.88 (2.28) 0.87 (2.67)
10-fold CV 0.83 (2.43) 0.79 (2.78)
LOOCV 0.46 (2.54) 0.44 (2.83)
50% 50-50 hold-out 0.38 (1.15) 0.33 (1.84)
70-30 hold-out 0.39 (1.72) 0.35 (2.30)
Twofold CV 0.52 (1.18) 0.47 (1.78)
Fivefold CV 0.66 (1.84) 0.57 (2.42)
10-fold CV 0.62 (2.00) 0.57 (2.55)
LOOCV 0.22 (2.20) 0.21 (2.68)