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|Title:||A Bayesian approach to evaluating net clinical benefit allowed for parameter uncertainty.|
|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.|
|Appears in Collections:||Published Articles, Dept. of Health Sciences|
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