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Table 3 C-index of the seven different variable selection methods and four predictive models. (More accurate models have a higher C-index. The joint two best indices are in bold)

From: Development and validation of a risk index to predict kidney graft survival: the kidney transplant risk index

No Variable selection Predictive models
Cox RSF SVM DT
Combination 1 EO 0.67 0.66 0.58 0.60
Combination 2 PCA 0.65 0.60 0.65 0.55
Combination 3 EN 0.65 0.67 0.53 0.60
Combination 4 EO PCA 0.61 0.62 0.52 0.57
Combination 5 EO EN 0.66 0.61 0.61 0.57
Combination 6 EN PCA 0.64 0.65 0.56 0.61
Combination 7 EO EN PCA 0.64 0.63 0.62 0.60
  1. EO Expert opinion; PCA Principal component analysis; EN Elastic net; RSF Random Survival Forrest; SVM Support Vector Machine; DT Decision Tree