Table 6 Accuracy parameters of the logistic regression models
From: Determination of puberty in gilts: contrast of diagnostic methods
Model | Parameter | |||||
|---|---|---|---|---|---|---|
Nagelkerke’s R2 | Sensitivity (95%IC) | Specificity (95%IC) | Positive predictive value (95%IC) | Negative predictive value (95%IC) | Area under the ROC curve (95%IC) | |
I | 0.520 | 0.844 (0.738; 0.950) | 0.792 (0.629; 0.954) | 0.883 (0.787; 0.979) | 0.731 (0.561; 0.901) | 0.882 (0.806; 0.959) |
II | 0.722 | 0.867 (0.767; 0.966) | 0.875 (0.743; 1.000) | 0.928 (0.850; 1.000) | 0.778 (0.621; 0.935) | 0.943 (0.890; 0.996) |
III | 0.846 | 0.956 (0.897; 1.000) | 0.958 (0.878; 1.000) | 0.978 (0.935; 1.000) | 0.920 (0.814; 1.000) | 0.957 (0.900; 1.000) |
IV | 0.834 | 0.933 (0.860; 1.000) | 0.958 (0.878; 1.000) | 0.977 (0.932; 1.000) | 0.885 (0.764; 1.000) | 0.972 (0.937; 1.000) |
V | 0.780 | 0.955 (0.895; 1.000) | 0.826 (0.671; 0.981) | 0.915 (0.835; 0.995) | 0.905 (0.780; 1.000) | 0.970 (0.933; 1.000) |
VI | 0.746 | 0.891 (0.801; 0.981) | 0.958 (0.878; 1.000) | 0.976 (0.929; 1.000) | 0.821 (0.680; 0.962) | 0.925 (0.854; 0.996) |
VII | 0.442 | 0.804 (0.690; 0.919) | 0.826 (0.671; 0.981) | 0.902 (0.812; 0.992) | 0.678 (0.506; 0.850) | 0.815 (0.703; 0.897) |