ArticleAustralasian psychiatry : bulletin of Royal Australian and New Zealand College of Psychiatrists2025
Diagnostic testing in psychiatry: insights and examples from a Bayesian perspective.
Article in Australasian psychiatry : bulletin of Royal Australian and New Zealand College of Psychiatrists, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
objectiveTo demonstrate the application of Bayes' theorem to diagnostic testing in clinical settings, especially with respect to rare diseases, enhancing an understanding of pre-test probability and its implications.
conclusionBayes' theorem enables the revision of the conditional probabilities of an event occurring when new information is acquired. It demonstrates that when the prevalence of a disease is very low, there are a high number of false positives, thereby reducing the clinical utility and cost benefit profile of the diagnostic test, even in the presence of relatively high sensitivities and specificities of the chosen test.
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