Go to content
UR Home

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
[img]
Preview
License: Creative Commons Attribution 4.0
PDF - Published Version
(1MB)
Date of publication of this fulltext: 22 Jun 2022 07:48


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 ...

plus


Owner only: item control page
  1. Homepage UR

University Library

Publication Server

Contact:

Publishing: oa@ur.de
0941 943 4239

Dissertations: dissertationen@ur.de
0941 943 3904

Research data: daten@ur.de
0941 943 4239

Contact persons