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Table 7 c-indices based on the training and testing sets for the real example

From: Combined performance of screening and variable selection methods in ultra-high dimensional data in predicting time-to-event outcomes

Selection approach No of SNPs selected Training set (419) Testing set (n = 204)
Original c-index Corrected c-index* c-index* (95% CI)
ISIS-LASSO 2 0.649 0.646 0.664 (0.621–0.707)
ISIS-ALASSO 0 0.649 0.650 0.671 (0.624–0.719)
ISIS-RSF 2 0.650 0.645 0.669 (0.618–0.720)
SIS 2 0.650 0.646 0.669 (0.624–0.714)
SIS-LASSO 0 0.649 0.649 0.671 (0.626–0.717)
SIS-ALASSO 0 0.649 0.650 0.671 (0.620–0.723)
SIS-RSF 2 0.650 0.648 0.669 (0.623–0.716)
PSIS 40 0.749 0.572 (0.527–0.617)
PSIS-LASSO 28 0.746 0.727 0.568 (0.524–0.613)
PSIS-ALASSO 24 0.744 0.727 0.573 (0.528–0.617)
PSIS-RSF 35 0.748 0.575 (0.529–0.622)
LASSO 16 0.716 0.586 (0.540–0.632)
ALASSO 13 0.653 0.634 0.647 (0.601–0.693)
  1. *Based on 200 bootstrapped samples