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

Hyun Sook Oh, Seoung Gon Ko, Man Suk Oh

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

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.

Original languageEnglish
Pages (from-to)881-891
Number of pages11
JournalJournal of Applied Statistics
Volume30
Issue number8
DOIs
StatePublished - Oct 2003

Fingerprint

Dive into the research topics of 'A Bayesian approach to assessing population bioequivalence in a 2 × 2 crossover design'. Together they form a unique fingerprint.

Cite this