Guidance on the implementation and reporting of a drug safety Bayesian network meta-analysis.
The Drug Information Association Bayesian Scientific Working Group (BSWG) was formed in 2011 with a vision to ensure that Bayesian methods are well understood and broadly utilized for design and analysis and throughout the medical product development process, and to improve industrial, regulatory, and economic decision making. The group, composed of individuals from academia, industry, and regulatory, has as its mission to facilitate the appropriate use and contribute to the progress of Bayesian methodology. In this paper, the safety sub-team of the BSWG explores the use of Bayesian methods when applied to drug safety meta-analysis and network meta-analysis. Guidance is presented on the conduct and reporting of such analyses. We also discuss different structural model assumptions and provide discussion on prior specification. The work is illustrated through a case study involving a network meta-analysis related to the cardiovascular safety of non-steroidal anti-inflammatory drugs.
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Related Subject Headings
- Statistics & Probability
- Meta-Analysis as Topic
- Humans
- Drug Discovery
- Cardiovascular Diseases
- Bayes Theorem
- Anti-Inflammatory Agents, Non-Steroidal
- 4905 Statistics
- 3214 Pharmacology and pharmaceutical sciences
- 1115 Pharmacology and Pharmaceutical Sciences
Citation
Published In
DOI
EISSN
Publication Date
Volume
Issue
Start / End Page
Location
Related Subject Headings
- Statistics & Probability
- Meta-Analysis as Topic
- Humans
- Drug Discovery
- Cardiovascular Diseases
- Bayes Theorem
- Anti-Inflammatory Agents, Non-Steroidal
- 4905 Statistics
- 3214 Pharmacology and pharmaceutical sciences
- 1115 Pharmacology and Pharmaceutical Sciences