Decision models for distinguishing between clinically insignificant and significant tumors in prostate cancer biopsies : an application of Bayes' Theorem to reduce costs and improve outcomes
Arthur J. Swersey, John Colberg, Ronald Evans, Michael W. Kattan, Johannes Ledolter, Rodney Parker
| Year of publication: |
2020
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|---|---|
| Authors: | Swersey, Arthur J. ; Colberg, John ; Evans, Ronald ; Kattan, Michael W. ; Ledolter, Johannes ; Parker, Rodney |
| Published in: |
Health care management science : a new journal serving the international health care management community. - Dordrecht [u.a.] : Springer Science + Business Media B.V., ISSN 1572-9389, ZDB-ID 2006272-2. - Vol. 23.2020, 1, p. 102-116
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| Subject: | Prostate biopsy | Simulation | Decision analysis | Bayes' theorem | Krebskrankheit | Cancer | Entscheidungstheorie | Decision theory | Entscheidung | Decision | Bayes-Statistik | Bayesian inference |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1007/s10729-019-09480-6 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012225279