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A Bayesian approach to assessing population bioequivalence in a 2 × 2 crossover design

Title
A Bayesian approach to assessing population bioequivalence in a 2 × 2 crossover design
Authors
Oh H.S.Ko S.-G.Oh M.-S.
Ewha Authors
오만숙
SCOPUS Author ID
오만숙scopus
Issue Date
2003
Journal Title
Journal of Applied Statistics
ISSN
0266-4763JCR Link
Citation
vol. 30, no. 8, pp. 881 - 891
Indexed
SCIE; SCOPUS WOS scopus
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.
DOI
10.1080/0266476032000117131
Appears in Collections:
자연과학대학 > 통계학전공 > Journal papers
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