Research Article

Comparison of Variable Selection Methods for Time-to-Event Data in High-Dimensional Settings

Table 3

False discovery rates and false-negative rates for each simulated dataset and selection method.

Training fractionFDR/FNR
LASSO-cvlLASSO-pcvlElastic NetBSS EnetCoxBoostRSF

50001/20.43/.0.51/.0.45/.1/.0.49/.1/.
2/30.39/.0.48/.0.4/.1/.0.49/.1/.
121/20.62/0.290.32/0.360.69/0.190.56/0.240.65/0.30.92/0.56
2/30.61/0.180.28/0.230.69/0.10.6/0.120.64/0.190.9/0.51
501/20.51/0.390.35/0.450.56/0.30.3/0.390.47/0.410.83/0.74
2/30.52/0.270.34/0.310.58/0.190.32/0.250.47/0.290.78/0.72

75001/20.44/.0.5/.0.46/.1/.0.46/.1/.
2/30.23/.0.42/.0.24/.1/.0.38/.1/.
121/20.62/0.240.31/0.270.67/0.160.59/0.160.64/0.250.85/0.4
2/30.57/0.210.19/0.230.62/0.120.63/0.110.61/0.20.65/0.29
501/20.49/0.290.27/0.350.54/0.20.32/0.270.44/0.30.75/0.71
2/30.48/0.170.2/0.260.54/0.10.33/0.150.4/0.20.54/0.66

100001/20.45/.0.48/.0.45/.1/.0.51/.1/.
2/30.55/.0.57/.0.56/.1/.0.62/.1/.
121/20.71/0.230.4/0.270.74/0.160.7/0.160.73/0.230.71/0.32
2/30.75/0.190.36/0.230.78/0.120.77/0.10.77/0.190.22/0.4
501/20.52/0.150.27/0.180.58/0.10.35/0.110.44/0.160.54/0.65
2/30.56/0.10.24/0.130.61/0.060.42/0.070.44/0.120.15/0.7