A Bayesian missing data framework for multiple continuous outcome mixed treatment comparisons
OBJECTIVES: Bayesian statistical approaches to mixed treatment comparisons (MTCs) are becoming more popular due to their flexibility and interpretability. Many randomized clinical trials report multiple outcomes with possible inherent correlations, but there is little previous work in modeling them...
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| Corporate Authors: | , |
| Format: | eBook |
| Language: | English |
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Rockville, Md.
Agency for Healthcare Research and Quality, U.S. Department of Health and Human Services
[2013], 2013
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| Series: | Methods research report
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| Online Access: | |
| Collection: | National Center for Biotechnology Information - Collection details see MPG.ReNa |
Table of Contents:
- Includes bibliographical references