Please use this identifier to cite or link to this item: http://hdl.handle.net/2381/16693
Title: A Bayesian approach to evaluating net clinical benefit allowed for parameter uncertainty.
Authors: Sutton, AJ
Cooper, NJ
Abrams, KR
Lambert, PC
Jones, DR
First Published: Jan-2005
Citation: J CLIN EPIDEMIOL, 2005, 58 (1), pp. 26-40
Abstract: Although randomized controlled trials (RCTs) are conducted to establish whether novel interventions work on average in the patient population, there is a growing desire to move to a more individualized approach to evaluation. The potential benefits and harms of a treatment policy may differ between individuals. If these benefits and harms are not evaluated distinctly, and in a quantitative framework, transparency can be lost in the decision-making process.
DOI Link: 10.1016/j.jclinepi.2004.03.015
ISSN: 0895-4356
Links: http://hdl.handle.net/2381/16693
Type: Journal Article
Appears in Collections:Published Articles, Dept. of Health Sciences

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