Contrasting two frameworks for ROC analysis of ordinal ratings.

Publication Type:

Journal Article

Source:

Medical decision making : an international journal of the Society for Medical Decision Making, Volume 30, Issue 4, p.484-98 (2010)

Keywords:

2010, Center-Authored Paper, Diagnostic Imaging, Humans, Public Health Sciences Division, ROC Curve

Abstract:

Statistical evaluation of medical imaging tests used for diagnostic and prognostic purposes often employs receiver operating characteristic (ROC) curves. Two methods for ROC analysis are popular. The ordinal regression method is the standard approach used when evaluating tests with ordinal values. The direct ROC modeling method is a more recently developed approach, motivated by applications to tests with continuous values.