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

Publication ,  Journal Article
Ohlssen, D; Price, KL; Xia, HA; Hong, H; Kerman, J; Fu, H; Quartey, G; Heilmann, CR; Ma, H; Carlin, BP
Published in: Pharm Stat
2014

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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Published In

Pharm Stat

DOI

EISSN

1539-1612

Publication Date

2014

Volume

13

Issue

1

Start / End Page

55 / 70

Location

England

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

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Ohlssen, D., Price, K. L., Xia, H. A., Hong, H., Kerman, J., Fu, H., … Carlin, B. P. (2014). Guidance on the implementation and reporting of a drug safety Bayesian network meta-analysis. Pharm Stat, 13(1), 55–70. https://doi.org/10.1002/pst.1592
Ohlssen, David, Karen L. Price, H Amy Xia, Hwanhee Hong, Jouni Kerman, Haoda Fu, George Quartey, Cory R. Heilmann, Haijun Ma, and Bradley P. Carlin. “Guidance on the implementation and reporting of a drug safety Bayesian network meta-analysis.Pharm Stat 13, no. 1 (2014): 55–70. https://doi.org/10.1002/pst.1592.
Ohlssen D, Price KL, Xia HA, Hong H, Kerman J, Fu H, et al. Guidance on the implementation and reporting of a drug safety Bayesian network meta-analysis. Pharm Stat. 2014;13(1):55–70.
Ohlssen, David, et al. “Guidance on the implementation and reporting of a drug safety Bayesian network meta-analysis.Pharm Stat, vol. 13, no. 1, 2014, pp. 55–70. Pubmed, doi:10.1002/pst.1592.
Ohlssen D, Price KL, Xia HA, Hong H, Kerman J, Fu H, Quartey G, Heilmann CR, Ma H, Carlin BP. Guidance on the implementation and reporting of a drug safety Bayesian network meta-analysis. Pharm Stat. 2014;13(1):55–70.
Journal cover image

Published In

Pharm Stat

DOI

EISSN

1539-1612

Publication Date

2014

Volume

13

Issue

1

Start / End Page

55 / 70

Location

England

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