A node is as good as its adjoining edge: Bayesian approach to a network of data
*Meg Gamalo, FDA Keywords: In clinical trials, the treatment response to a particular intervention only becomes meaningful when it is compared to another intervention, even if that intervention comes from historical trials. If there is a set of interventions, the number of comparisons forms a network. In this talk, we will discuss a special (undirected) form of Bayesian Networks (BN) called Bayesian network meta-analytic techniques that allow for an assessment of the relative safety/effectiveness of two treatments when they have not been compared directly in a randomized trial, but have each been compared indirectly with other treatments. These methods will be illustrated using real examples found in the literature.
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Key Dates
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April 30 - May 22, 2013
Invited Abstract Submission Open -
June 4, 2013
Online Registration Opens -
August 9 - August 23, 2013
Invited Abstract Editing -
August 23, 2013
Short Course materials due from Instructors -
August 26, 2013
Housing Deadline -
September 9, 2013
Cancellation Deadline and Registration Closes @ 11:59 pm EDT -
September 16 - September 18, 2013
Marriott Wardman Park, Washington, DC