Constructing "Proper" ROCs from Ordinal Response Data Using Weighted Power Functions

Conclusions. The WPF model fits a broader variety of data sets than previously published power function models while maintaining straightforward relationships among the original decision variable, specific operating points, ROC curve contours, and model parameters. Compared with other proper ROC models, the WPF model is distinctive in its simplicity, and it avoids the flaws of the conventional binormal ROC model.
Source: Medical Decision Making - Category: Health Management Authors: Tags: Original Articles Source Type: research