ROC Curves: Uncovering the Pearls and Avoiding the Pitfalls
MedSun: Newsletter #29, October 2008

By David Plaut
American Association for Clinical Chemistry (AACC)
ROC curve analysis is a set of statistical tools that helps select optimal tests and similarly helps discard suboptimal ones. The ROC curves are also helpful for selecting optimal cutoffs for a test and have become a common tool in medicine to determine the clinical accuracy of lab tests. All ROC curves are good representations of the data; it is the other factors—the lab test, the other diagnostic tests, the patients, and the clinicians—that are all imperfect.

Additional Information:

ROC Curves: Uncovering the Pearls and Avoiding the Pitfalls. By David Plaut. American Association for Clinical Chemistry (AACC). Volume 34, Number 8. August 2008.
http://www.aacc.org/publications/cln/2008/august/Pages/series_0808.aspx


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