Bayesian modeling of multivariate average bioequivalence Journal Article
| Authors: | Ghosh, P.; Gonen, M. |
| Article Title: | Bayesian modeling of multivariate average bioequivalence |
| Abstract: | Bioequivalence trials are usually conducted to compare two or more formulations of a drug. Simultaneous assessment of bioequivalence on multiple endpoints is called multivariate bioequivalence. Despite the fact that some tests for multivariate bioequivalence are suggested, current practice usually involves univariate bioequivalence assessments ignoring the correlations between the endpoints such as AUC and Cmax. In this paper we develop a semiparametric Bayesian test for bioequivalence under multiple endpoints. Specifically, we show how the correlation between the endpoints can be incorporated in the analysis and how this correlation affects the inference. Resulting estimates and posterior probabilities 'borrow strength' from one another where the amount and the direction of the strength borrowed are determined by the prior correlations. The method developed is illustrated using a real data set. Copyright © 2007 John Wiley & Sons, Ltd. |
| Keywords: | clinical trial; area under the curve; bayes theorem; drug dosage form comparison; mathematical model; statistical analysis; data interpretation, statistical; probability; models, statistical; cross-sectional studies; multivariate analysis; maximum plasma concentration; biological availability; drug formulation; erythromycin; markov chain monte carlo; average bioequivalence; crossover design; gibbs sampling; mixture of dirichlet process prior; erthrocin; bioequivalence; therapeutic equivalency |
| Journal Title: | Statistics in Medicine |
| Volume: | 27 |
| Issue: | 13 |
| ISSN: | 0277-6715 |
| Publisher: | John Wiley & Sons |
| Date Published: | 2008-06-15 |
| Start Page: | 2402 |
| End Page: | 2419 |
| Language: | English |
| DOI: | 10.1002/sim.3160 |
| PUBMED: | 18095275 |
| PROVIDER: | scopus |
| DOI/URL: | |
| Notes: | --- - "Cited By (since 1996): 3" - "Export Date: 17 November 2011" - "CODEN: SMEDD" - "Source: Scopus" |
