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Natural frequency trees improve diagnostic efficiency in Bayesian reasoning

URN to cite this document:
urn:nbn:de:bvb:355-epub-512792
DOI to cite this document:
10.5283/epub.51279
Binder, Karin ; Krauss, Stefan ; Schmidmaier, Ralf ; Braun, Leah
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License: Creative Commons Attribution 4.0
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Date of publication of this fulltext: 22 Jun 2022 07:48

This publication is part of the DEAL contract with Springer.


Abstract

When physicians are asked to determine the positive predictive value from the a priori probability of a disease and the sensitivity and false positive rate of a medical test (Bayesian reasoning), it often comes to misjudgments with serious consequences. In daily clinical practice, however, it is not only important that doctors receive a tool with which they can correctly judge-the speed of these ...

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