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DOI: 10.1002/pst.1592
OpenAccess: Closed
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Guidance on the implementation and reporting of a drug safety Bayesian network meta‐analysis

David Ohlssen,Karen Price,H. Amy Xia,Hwanhee Hong,Jouni Kerman,Haoda Fu,George Quartey,Cory R. Heilmann,Haijun Ma,Bradley P. Carlin

Bayesian network
Bayesian probability
Computer science
2013
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. Copyright © 2013 John Wiley & Sons, Ltd.
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    Guidance on the implementation and reporting of a drug safety Bayesian network meta‐analysis” is a paper by David Ohlssen Karen Price H. Amy Xia Hwanhee Hong Jouni Kerman Haoda Fu George Quartey Cory R. Heilmann Haijun Ma Bradley P. Carlin published in 2013. It has an Open Access status of “closed”. You can read and download a PDF Full Text of this paper here.