Combined measures of diagnostic model performance - misleading or helpful?
View Presentation *Megan Neely, Duke University Keywords: : Sensitivity and specificity have traditionally been used as the metrics for assessing the diagnostic performance of a model. However, other metrics, like area under the receiver operating curve (AUC), net reclassification index (NRI), net benefit and relative utility, have gained traction in the last decade and have been widely applied in practice. With the pool of performance measures growing, it can be daunting for investigators to determine when they should use one of the newer metrics in place of the standard sensitivity and specificity and how to interpret values that may appear conflicting. In this talk we will explore the relationship between the newer performance metrics and sensitivity and specificity. Specifically, we will discuss the expected values of the newer metrics depending on desired levels of sensitivity and specificity.
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Key Dates
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November 1 - December 17, 2013
Online proposal submission for a session, short course and Town Hall Open -
January 6 - March 11, 2014
Online proposal submission for Roundtables Open -
April 30 - May 28, 2014
Abstract Submission Open -
June 4, 2014
Online Registration Opens -
August 8 - August 22, 2014
Invited Abstract Editing -
August 11, 2014
Short Course materials due from Instructors -
September 1, 2014
Housing Deadline -
September 15, 2014
Cancellation Deadline and Registration Closes @ 11:59 pm EDT -
September 22 - September 24, 2014
Marriott Wardman Park, Washington, DC