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http://dx.doi.org/10.5351/KJAS.2011.24.6.1095

Bayesian Estimation in Bioequivalence Study  

Lee, Seung-Chun (Department of Statistics, Hanshin University)
Publication Information
The Korean Journal of Applied Statistics / v.24, no.6, 2011 , pp. 1095-1102 More about this Journal
Abstract
The classical two-period, two-sequence crossover design is no longer sufficient to assess various demands in a bioequivalence study. For instance, to estimate the within-subject and between-subject variances of test and reference formulations separately, it is necessary to use a replicate design in which each subject receives at least the reference formulation in two periods. Several designs were studied to satisfy the demands. It is provided a unified Bayesian approach applicable to those study designs. The benefit of the method in the bioequivalence study is discussed.
Keywords
Gibbs sampling; crossover design; bioequivalence; linear mixed model;
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Times Cited By KSCI : 2  (Citation Analysis)
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