A diagnostic test is any kind of medical test performed to determine the presence or absence of a disease when a subject shows signs or symptoms of the disease. Measures of diagnostic accuracy tell us about the ability of a test to discriminate between disease and health. There are many measures used to show the accuracy of the diagnostic test including sensitivity, specificity, etc. We calculate these measures in 2×2 table, comparing with gold standard and it is possible only when result of the gold standard as well as new test is dichotomous nature. Many diagnostic test results have continuous scale and for such variable a series of cutoff points for disease and corresponding measures of accuracy can be calculated using receiver operating characteristics curve. In this article, we have discussed the various measures of diagnostic accuracy and their computational methods commonly used to assess the performance of a diagnostic test.
Key words: Sensitivity, specificity, overall accuracy, ROC curve, area under the curve
The articles in Bibliomed are open access articles licensed under Creative Commons Attribution 4.0 International License (CC BY), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
We use cookies and other tracking technologies to work properly, to analyze our website traffic, and to understand where our visitors are coming from. More InfoGot It!
