Assessing noninferiority in a three-arm trial using the Bayesian approach
Article first published online: 26 APR 2011
Copyright © 2011 John Wiley & Sons, Ltd.
Statistics in Medicine
Volume 30, Issue 15, pages 1795–1808, 10 July 2011
How to Cite
Ghosh, P., Nathoo,, F., Gönen, M. and Tiwari, R. C. (2011), Assessing noninferiority in a three-arm trial using the Bayesian approach. Statist. Med., 30: 1795–1808. doi: 10.1002/sim.4244
Associate Attending Biostatistician.
- Issue published online: 10 JUN 2011
- Article first published online: 26 APR 2011
- Manuscript Accepted: 31 JAN 2011
- Manuscript Received: 28 APR 2010
- Bayesian methods;
- gold standard design;
- Markov chain Monte Carlo;
- home-based blood pressure interventions
Non-inferiority trials, which aim to demonstrate that a test product is not worse than a competitor by more than a pre-specified small amount, are of great importance to the pharmaceutical community. As a result, methodology for designing and analyzing such trials is required, and developing new methods for such analysis is an important area of statistical research. The three-arm trial consists of a placebo, a reference and an experimental treatment, and simultaneously tests the superiority of the reference over the placebo along with comparing this reference to an experimental treatment. In this paper, we consider the analysis of noninferiority trials using Bayesian methods which incorporate both parametric as well as semi-parametric models. The resulting testing approach is both flexible and robust. The benefit of the proposed Bayesian methods is assessed via simulation, based on a study examining home-based blood pressure interventions. Copyright © 2011 John Wiley & Sons, Ltd.