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Average bioequivalence for two-sequence two-period crossover design with incomplete data.

Jae-Young Lee·Byung-Chun Kim·Sang-Gue Park
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Abstract

A statistical procedure for analyzing a two-sequence two-period crossover design in bioequivalence trials is discussed when some observations at the second period are missing. The maximum likelihood estimators of the parameters in the average bioequivalence model are obtained under missing at random and a modified two one-sided test is proposed. The performances of the discussed test are compared using Monte Carlo simulations.

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Cross-Over StudiesDrug TherapyModels, StatisticalMonte Carlo MethodRandomized Controlled Trials as TopicTherapeutic EquivalencyJournal Article

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BibTeXRIS

Jae-Young Lee, Byung-Chun Kim, Sang-Gue Park. 2005. Average bioequivalence for two-sequence two-period crossover design with incomplete data.. https://doi.org/10.1081/bip-200067986

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