Journal
JOURNAL OF CLINICAL EPIDEMIOLOGY
Volume 61, Issue 9, Pages 866-874Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.jclinepi.2008.04.002
Keywords
predictive values; sensitivity; specificity; likelihood ratios; area under the curve; B-statistic
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Objective: For diagnostic tests, the most common graphical representation of the information is the receiver-operating characteristic (ROC) curve. The agreement chart displays the information of two observers independently classifying the same n items into the same k categories, and can be used if one considers one of the observers as the diagnostic test and the other as the known outcome. This study compares the two charts and their ability to visually portray the various relevant summary statistics that assess how good a diagnostic test may be, such as sensitivity, specificity. predictive values, and likelihood ratios. Study Design and Setting: The geometric relationships displayed in the charts are first described. The relationship between the two graphical representations and various summary statistics is illustrated using data from three common epidemiologically relevant health issues: coronary heart disease, screening for breast cancer. and screening for tuberculosis. Results: Whereas the ROC Curve incorporates information on sensitivity and specificity, the agreement chart includes information on the positive and negative predictive values of the diagnostic test. Conclusion: The agreement chart should be considered as an alternative visual representation to the ROC for diagnostic tests. (c) 2008 Elsevier Inc. All rights reserved.
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