Abstract
Receiver operating characteristic (ROC) analysis provides the most comprehensive description of diagnostic accuracy available to date, because it estimates and reports all of the combinations of sensitivity and specificity that a diagnostic test is able to provide. After sketching the 6 levels at which diagnostic efficacy can be assessed, this paper explains the conceptual foundations of conventional ROC analysis, describes a variety of indices that can be used to summarize ROC curves, and describes several forms of generalized ROC analysis that address situations in which more than 2 decision alternatives are available. Key issues that arise in ROC curve fitting and statistical testing are addressed in an intuitive way to provide a basis for judging the validity of ROC studies reported in the literature. A list of sources for free ROC software is provided. Receiver operating characteristic methodology has reached a level of maturity at which it can be recommended broadly as the approach of choice for radiologic imaging system comparisons.
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
