| 书目名称 | Theorems on the Prevalence Threshold and the Geometry of Screening Curves | | 副标题 | A Bayesian Approach | | 编辑 | Jacques Balayla | | 视频video | | | 概述 | Creates a new field using Bayesian methods.Applies equally to all medical specialties that engage in the screening‘process.Showcases Bayesian theory as an underlying common thread between epistemology | | 图书封面 |  | | 描述 | .In .Theorems on the Prevalence Threshold and the Geometry of Screening Curves., the author explores the mathematical underpinnings of screening and diagnostic testing, offering a unique and novel perspective which employs classical differential geometry and Bayesian theory to elucidate critical aspects of clinical decision-making. Taking the reader on a mathematical journey which bridges these seemingly unrelated worlds, the author presents a quantifiable framework on clinical judgement by introducing the “prevalence threshold” – a novel statistical parameter derived from Bayesian principles by means of the study of the geometry of screening curves. As the prevalence threshold demarcates the pretest probability level beyond which additional information ceases to significantly enhance the yield and reliability of a clinical assessment, it may serve as a benchmark for confidence in clinical decision-making. Given the theorems herein described, readers will find comprehensive analyses and insightful explorations of how these geometric concepts apply to real-world diagnostic scenarios, allowing the clinician to navigate clinical care more effectively at both the individual and public | | 出版日期 | Book 2024 | | 关键词 | Screening; Clinical decision-making; Bayesian; Probability; Prevalence threshold; Sequential testing; Orth | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-71452-8 | | isbn_softcover | 978-3-031-71454-2 | | isbn_ebook | 978-3-031-71452-8 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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发表于 2025-3-21 18:03:40
