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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書誌詳細

主要な著者:	Michelle Pistner Nixon, Farhani Momotaz, Claire Smith, Jeffrey S. Smith, Mark Sendak, Christopher Polage, Justin D. Silverman
フォーマット:	Artigo
言語:	Inglês
出版事項:	BMC 2024-07-01
シリーズ:	BMC Medical Informatics and Decision Making
主題:	Diagnostic uncertainty Bayesian decision theory
オンライン･アクセス:	https://doi.org/10.1186/s12911-024-02610-3
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