| Literature DB >> 16832840 |
Abstract
Bioequivalence assessment is an issue of great interest. Development of statistical methods for assessing bioequivalence is an important area of research for statisticians. Bioequivalence is usually determined based on the normal distribution. We relax this assumption and develop a semi-parametric mixed model for bioequivalence data. The proposed method is quite flexible and practically meaningful. Our proposed method is based on a mixture normal distribution and a non-parametric Bayesian approach using a Dirichlet process mixture prior. A numerical example illustrates the use of our procedure. Copyright (c) 2006 John Wiley & Sons, Ltd.Mesh:
Year: 2007 PMID: 16832840 DOI: 10.1002/sim.2620
Source DB: PubMed Journal: Stat Med ISSN: 0277-6715 Impact factor: 2.373