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Table 2 Results of center1 data using the proposed algorithm compared with Cox’s model using AIC, BIC, Lasso, and SCAD

From: Feature selection through validation and un-censoring of endovascular repair survival data for predicting the risk of re-intervention

Algorithm used Number of features p-value (Logrank) CI(SE) Sensitivity
Proposed Algorithm 7 <0.00001 0.74 (0.0439) 0.76
AIC Algorithm 14 <0.00001 0.79 (0.0408) 0.69
BIC Algorithm 14 <0.00001 0.76 (0.0465) 0.38
Lasso Algorithm 7 <0.00001 0.7382 (0.0426) 0.714
SCAD Algorithm 3 0.0078 0.6271 (0.0518) 0.643