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Abstract Details
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Activity Number:
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602
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Type:
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Topic Contributed
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Date/Time:
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Thursday, August 2, 2012 : 8:30 AM to 10:20 AM
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Sponsor:
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Biopharmaceutical Section
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| Abstract - #304389 |
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Title:
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Statistical Approaches for Conducting Network Meta-Analysis in Drug Development
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Author(s):
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Byron Jones*+
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Companies:
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Novartis Pharma AG
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Address:
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WSJ-27.1.032, Basel CH-4056, , Switzerland
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Keywords:
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network meta analysis ;
random effects ;
Bayesian analysis ;
Frequentist analysis ;
constraints
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Abstract:
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Network meta-analysis is an extension of standard meta-analysis where indirect and direct information on treatment comparisons is combined. We illustrate it with an example involving three treatments, using fixed-and random-effects models, and using frequentist and Bayesian approaches. One issue overlooked in the literature is the choice of constraints applied to random effects, and we show how this affects the estimates and standard errors and propose a symmetric set of constraints.
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The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
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