cut off value graph - msteps

[ArchivalUser]

can anybody explain??

[ArchivalUser]

The interdependence of sensitivity and specificity can be depicted graphically using a receiver operating characteristic (ROC) curve. The ROC curve plots sensitivity on the Y axis, and 1-specificity (which is the false positive rate) on the X axis. The area under the ROC curves (the area to the right and below the curve) gives an estimate of the accuracy of a test. An ideal test would have a cutoff value that perfectly discriminated those with disease, and would have an area under the ROC curve of 1.00 (figure 5). The ROC curve can be adapted to multivariate analysis (such as logistic regression) in which it provides an estimate of the accuracy of the statistical model (ie, how well it predicts an outcome).

[ArchivalUser]

there is a much easier to understand explanation on DR. Mark H. Ebell University of Georgia website. Chapter 4.8
http://ebp.uga.edu/courses/
will be fantastic , you'll see