https://wikimd.com/index.php?action=history&feed=atom&title=Post-test_odds 2026-04-08T02:06:30Z Revision history for this page on the wiki MediaWiki 1.44.2 https://wikimd.com/index.php?title=Post-test_odds&diff=6518087&oldid=prev 2025-03-17T23:27:39Z

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<p>CSV import</p> <p><b>New page</b></p><div>&#039;&#039;&#039;Post-test odds&#039;&#039;&#039; are a statistical measure used in [[Bayesian statistics]] and [[evidence-based medicine]] to determine the probability of a condition being present after a diagnostic test has been performed. They are calculated based on the [[pre-test odds]] and the [[likelihood ratio]] of the test.<br /> <br /> == Definition ==<br /> <br /> The post-test odds of a condition are the odds that a condition is present after the results of a diagnostic test are known. They are calculated by multiplying the pre-test odds by the likelihood ratio of the test. The formula for calculating post-test odds is:<br /> <br /> : Post-test odds = Pre-test odds x Likelihood ratio<br /> <br /> The pre-test odds are the odds of the condition being present before the test is performed, and the likelihood ratio is a measure of how much a positive or negative test result changes the odds of the condition being present.<br /> <br /> == Interpretation ==<br /> <br /> The interpretation of post-test odds depends on the context in which they are used. In general, higher post-test odds indicate a higher probability of the condition being present. However, the specific meaning of the post-test odds can vary depending on the pre-test odds and the likelihood ratio.<br /> <br /> For example, if the pre-test odds are low (indicating a low probability of the condition being present before the test), a positive test result may not significantly increase the post-test odds. Conversely, if the pre-test odds are high, a negative test result may not significantly decrease the post-test odds.<br /> <br /> == Use in Medicine ==<br /> <br /> In medicine, post-test odds are used to help clinicians interpret the results of diagnostic tests. They can help to determine the probability of a disease being present after a test result, and can guide further diagnostic testing or treatment decisions.<br /> <br /> For example, if a patient has a high post-test odds for a certain disease after a positive test result, a clinician may decide to start treatment for that disease. Conversely, if a patient has low post-test odds after a negative test result, a clinician may decide to rule out that disease and consider other potential diagnoses.<br /> <br /> == See also ==<br /> <br /> * [[Pre-test probability]]<br /> * [[Likelihood ratios in diagnostic testing]]<br /> * [[Bayesian statistics]]<br /> * [[Evidence-based medicine]]<br /> <br /> [[Category:Statistics]]<br /> [[Category:Evidence-based medicine]]<br /> [[Category:Medical terminology]]<br /> {{statistics-stub}}<br /> {{medicine-stub}}</div>

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