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From pre-test and post-test probabilities to medical decision making

Abstract Background A central goal of modern evidence-based medicine is the development of simple and easy to use tools that help clinicians integrate quantitative information into medical decision-making. The Bayesian Pre-test/Post-test Probability (BPP) framework is arguably the most well known of...

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Bibliografische Detailangaben
Hauptverfasser: Michelle Pistner Nixon, Farhani Momotaz, Claire Smith, Jeffrey S. Smith, Mark Sendak, Christopher Polage, Justin D. Silverman
Format: Artigo
Sprache:Inglês
Veröffentlicht: BMC 2024-07-01
Schriftenreihe:BMC Medical Informatics and Decision Making
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Online-Zugang:https://doi.org/10.1186/s12911-024-02610-3
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