Cookies on this website
We use cookies to ensure that we give you the best experience on our website. If you click 'Continue' we'll assume that you are happy to receive all cookies and you won't see this message again. Click 'Find out more' for information on how to change your cookie settings.

Clinicians routinely face the challenge of diagnosing a medical condition, or assessing the severity and prognosis of disease based upon the diagnostic information at their disposal. Using such information to determine a diagnosis (e.g. imagining technology to diagnose glaucoma), is called a diagnostic test. Most diagnostic tests fall comfortably short of perfection in their diagnosis. When assessing a diagnostic test there are two related aspects to be concerned about - how well the test deals with diseased and non-diseased cases. Research is needed to assess the diagnostic performance and more generally the role a diagnostic test should play in clinical care: if, when and how it should be used. In this chapter, measures of diagnostic performance will be described using an example study. The challenges in conducting a robust and clinically relevant diagnostic study will be considered. © 2012 Bentham Science Publishers. All rights reserved.

Original publication




Journal article

Publication Date



3 - 12