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	<title>Receiver-Operating Characteristic Curves &#8211; mikrobik.net</title>
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		<title>Sensitivity, Specificity, Receiver-Operating Characteristic (ROC) Curves and Likelihood Ratios: Communicating the Performance of Diagnostic Tests</title>
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		<pubDate>Fri, 20 Nov 2009 14:07:00 +0000</pubDate>
				<category><![CDATA[Biyokimya Derlemeleri]]></category>
		<category><![CDATA[Likelihood Ratios]]></category>
		<category><![CDATA[Receiver-Operating Characteristic Curves]]></category>
		<category><![CDATA[ROC]]></category>
		<category><![CDATA[Sensitivity]]></category>
		<category><![CDATA[Specificity]]></category>
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					<description><![CDATA[Sensitivity, Specificity, Receiver-Operating Characteristic (ROC) Curves and Likelihood Ratios: Communicating the Performance of Diagnostic Tests Christopher M Florkowski Clin Biochem Rev Vol 29 Suppl (i) August 2008 Summary • Diagnostic accuracy studies address...]]></description>
										<content:encoded><![CDATA[<p><strong><span style="color:#5C3566;">Sensitivity, Specificity, Receiver-Operating Characteristic (ROC) Curves and Likelihood Ratios: Communicating the Performance of Diagnostic Tests</span></strong><br />
Christopher M Florkowski</p>
<p><a href="http://old.aacb.asn.au/pubs/2008%20cbr%20articles/august%20cbr%202008%20florkowski.pdf" target="_blank" rel="noopener">Clin Biochem Rev Vol 29 Suppl (i) August 2008</a></p>
<p>Summary<br />
• Diagnostic accuracy studies address how well a test identifies the target condition of interest.<br />
• Sensitivity, specificity, predictive values and likelihood ratios (LRs) are all different ways of expressing test performance.<br />
• Receiver operating characteristic (ROC) curves compare sensitivity versus specificity across a range of values for the ability to predict a dichotomous outcome. Area under the ROC curve is another measure of test performance.<br />
• All of these parameters are not intrinsic to the test and are determined by the clinical context in which the test is employed.<br />
• High sensitivity corresponds to high negative predictive value and is the ideal property of a “rule-out” test.<br />
• High specificity corresponds to high positive predictive value and is the ideal property of a “rule-in” test.<br />
• LRs leverage pre-test into post-test probabilities of a condition of interest and there is some evidence that they are more intelligible to users.</p>
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