Advantages to transforming the receiver operating characteristic (ROC) curve into likelihood ratio co-ordinates.
Traditionally, the receiver operating characteristic (ROC) curve for a diagnostic test plots true positives (sensitivity) against false positives (one minus specificity). However, this representation brings with it several drawbacks. A transformation to positive and negative likelihood ratio co-ordinates, scaled by base-ten logarithms, offers several advantages. First we motivate the use of positive and negative likelihood ratios, emphasizing their relationship to modification of the odds ratio. Then we highlight properties of likelihood ratios using the traditional ROC axes. Finally, we demonstrate ROC curves and their properties after conversion to likelihood ratio co-ordinates. These graphs do not waste space for tests lacking diagnostic power, and offer a simple visual assessment of a test's impact on the odds ratio.
Johnson
Nils P
NP
College of Physicians and Surgeons, Columbia University, 630 W. 168th St., New York, NY 10032, U.S.A. nj90@columbia.edu
D003955:Diagnostic Tests, Routine / Q000592:standards*; D006801:Humans; D016013:Likelihood Functions; D012372:ROC Curve; D012680:Sensitivity and Specificity