Case study comparing bayesian and frequentist approaches for multiple treatment comparisons
CONCLUSIONS: Bayesian methods are more flexible and their results more clinically interpretable but require more careful development and specialized software. KEY MESSAGES: 1. Both Bayesian and frequentist hierarchical models can be effective in multiple treatment comparisons.2. Bayesian models sens...
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| Corporate Authors: | , |
| Format: | eBook |
| Language: | English |
| Published: |
Rockville, MD
Agency for Healthcare Research and Quality
2013, 2013
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| Series: | Methods research report
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| Subjects: | |
| Online Access: | |
| Collection: | National Center for Biotechnology Information - Collection details see MPG.ReNa |
Table of Contents:
- Includes bibliographical references