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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)

From: Cancer survival analysis using semi-supervised learning method based on Cox and AFT models with L1/2 regularization

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)