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Guidance on the implementation and reporting of a drug safety Bayesian network meta-analysis.

Authors :
Ohlssen, David
Price, Karen L.
Amy Xia, H.
Hong, Hwanhee
Kerman, Jouni
Fu, Haoda
Quartey, George
Heilmann, Cory R.
Ma, Haijun
Carlin, Bradley P.
Source :
Pharmaceutical Statistics; Jan/Feb2014, Vol. 13 Issue 1, p55-70, 16p
Publication Year :
2014

Abstract

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
15391604
Volume :
13
Issue :
1
Database :
Complementary Index
Journal :
Pharmaceutical Statistics
Publication Type :
Academic Journal
Accession number :
93789470
Full Text :
https://doi.org/10.1002/pst.1592