| License: Creative Commons Attribution 4.0 PDF - Published Version (1MB) |
- URN to cite this document:
- urn:nbn:de:bvb:355-epub-512792
- DOI to cite this document:
- 10.5283/epub.51279
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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