A Bayesian approach to assessing population bioequivalence in a 2 ×2 crossover design |
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Authors: | Hyun Sook Oh Seoung-gon Ko Man-Suk Oh |
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Institution: |
a Department of Applied Statistics, Kyungwon University, Korea.
b Department of Statistics, Ewha Woman's University, Korea. |
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Abstract: | A Bayesian testing procedure is proposed for assessment of the bioequivalence in both mean and variance, which ensures population bioequivalence under the normality assumption. We derive the joint posterior distribution of the means and variances in a standard 2 ×2 crossover experimental design and propose a Bayesian testing procedure for bioequivalence based on a Markov chain Monte Carlo method. The proposed method is applied to a real data set. |
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