Table 1 The performance of the Cox and AFT models with and without the semi-supervised learning approach in simulated experiment (the average numbers and the standard deviations (in brackets) were listed in 50 runs)
Cor. | Size | Cox | Semi-Cox | ||||
Correct | Selected | Precision | Correct | Selected | Precision | ||
100 | 4.06 (1.39) | 24.44 (4.65) | 0.166 (0.044) | 6.58 (1.41) | 16.96 (6.41) | 0.388 (0.080) | |
ρ = 0 | 200 | 5.62 (1.64) | 28.22 (6.16) | 0.199 (0.031) | 8.68 (1.56) | 17.84 (5.72) | 0.487 (0.078) |
300 | 8.02 (1.43) | 35.18 (5.81) | 0.228 (0.029) | 9.76 (0.98) | 19.02 (5.41) | 0.513 (0.087) | |
100 | 3.90 (1.43) | 24.38 (5.83) | 0.159 (0.041) | 6.46 (1.37) | 17.08 (6.05) | 0.378 (0.075) | |
ρ = 0.3 | 200 | 5.68 (1.42) | 29.64 (6.19) | 0.192 (0.035) | 8.62 (1.11) | 17.86 (5.45) | 0.483 (0.074) |
300 | 7.84 (1.55) | 35.86 (5.96) | 0.219 (0.037) | 9.42 (0.68) | 18.54 (5.10) | 0.508 (0.082) | |
Cor. | Size | AFT | Semi-AFT | ||||
Correct | Selected | Precision | Correct | Selected | Precision | ||
100 | 5.02 (1.61) | 38.74 (6.27) | 0.130 (0.029) | 6.84 (1.37) | 35.52 (6.17) | 0.192 (0.031) | |
ρ = 0 | 200 | 7.12 (1.30) | 46.68 (6.03) | 0.152 (0.025) | 8.84 (1.18) | 42.16 (5.38) | 0.210 (0.039) |
300 | 8.90 (0.99) | 56.54 (6.85) | 0.157 (0.019) | 9.86 (0.46) | 50.84 (5.49) | 0.194 (0.027) | |
100 | 4.74 (1.19) | 39.54 (5.88) | 0.120 (0.030) | 6.72 (1.43) | 35.84 (6.43) | 0.188 (0.033) | |
ρ = 0.3 | 200 | 6.98 (1.50) | 47.02 (6.32) | 0.148 (0.024) | 8.78 (1.02) | 44.96 (6.95) | 0.195 (0.031) |
300 | 8.80 (1.02) | 56.82 (6.30) | 0.155 (0.022) | 9.78 (0.50) | 49.31 (5.86) | 0.198 (0.034) | |