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Table 4 Concordance, sensitivity, specificity, clinical net benefit, and overall AUCs.

From: Practical investigation of the performance of robust logistic regression to predict the genetic risk of hypertension

Probability cutoff Standard logistic regression Robust logistic regression
  Concordance
N (%)
Sensitivity Specificity Clinical net benefit Concordance
N (%)
Sensitivity Specificity Clinical net benefit
0.0 43 (33.1) 1.00 0.00 0.33 43 (33.1) 1.00 0.00 0.33
0.1 79 (60.8) 0.95 0.44 0.27 82 (63.1) 0.88 0.51 0.26
0.2 90 (69.2) 0.86 0.61 0.22 97 (74.6) 0.86 0.69 0.23
0.3 98 (75.4) 0.81 0.72 0.19 99 (76.2) 0.81 0.74 0.19
0.4 98 (75.4) 0.70 0.78 0.13 102 (78.5) 0.72 0.82 0.16
0.5 101 (77.7) 0.60 0.86 0.11 107 (82.3) 0.67 0.90 0.15
0.6 97 (74.6) 0.40 0.92 0.05 102 (78.5) 0.51 0.92 0.09
0.7 99 (76.2) 0.35 0.97 0.06 100 (76.9) 0.42 0.94 0.05
0.8 93 (71.5) 0.19 0.98 0.00 97 (74.6) 0.30 0.97 0.01
0.9 91 (70.0) 0.12 0.99 −0.03 93 (71.5) 0.19 0.98 −0.08
1.0 87 (66.9) 0.00 1.00 - 87 (66.9) 0.00 1.00 -
AUC 0.835 0.830
  1. These characteristics rely on the age-genotype models for standard and robust logistic regression estimated based on leave-one-out cross-validation.