Determining a Range of False-positive Rates for Which ROC Curves Differ

Many indices have been proposed for summarizing the information contained in the ROC curve. When comparing two ROC curves, though, there are times when global summary measures are either not optimal or not appropriate. The author presents a method for directly comparing true-positive rates for two d...

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Bibliographic Details
Published in:Medical decision making 1990-10, Vol.10 (4), p.283-287
Main Author: McClish, Donna Katzman
Format: Article
Language:English
Subjects:
Bacterial Infections - etiology
Critical Care - organization & administration
False Positive Reactions
Health Care Rationing - organization & administration
Humans
Reference Values
ROC Curve
Severity of Illness Index
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Summary:Many indices have been proposed for summarizing the information contained in the ROC curve. When comparing two ROC curves, though, there are times when global summary measures are either not optimal or not appropriate. The author presents a method for directly comparing true-positive rates for two diagnostic, screening or prognostic tools, determining over what range of false-positive values the tests differ. The method is applicable for in dependent or dependent samples. An example concerning gallium citrate imaging is pre sented, as well as an example using a prognostic index for severity of illness in the ICU. The range of false-positive rates for which the ROC curves differ is determined for each example.
ISSN:0272-989X
1552-681X
DOI:10.1177/0272989X9001000406