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Evidence-based medicine as Bayesian decision-making

✍ Scribed by Deborah Ashby; Adrian F. M. Smith

Publisher: John Wiley and Sons
Year: 2000
Tongue: English
Weight: 94 KB
Volume: 19
Category: Article
ISSN: 0277-6715
DOI: 10.1002/1097-0258(20001215)19:23<3291::aid-sim627>3.0.co;2-t

No coin nor oath required. For personal study only.

✦ Synopsis

We review two recent trends: the emergence of evidence-based medicine and the growing use of Bayesian statistics in medical applications. Evidence-based medicine requires an integrated assessment of the available evidence, and associated uncertainty, but there is also an emphasis on decision-making, for individual patients, or at other points in the health-care system. This demands consideration of the values and costs associated with potential outcomes. We argue that the natural statistical framework for evidence-based medicine is a Bayesian approach to decision-making that incorporates an integrated summary of the available evidence and associated uncertainty with assessment of utilities. We outline a practical agenda for further development.

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