Analysis of multiple-dose bioequivalence studies

Vernon M. Chinchilli; James D. Esinhari; William H. Barâ

doi:10.1080/10543409408835093

Analysis of multiple-dose bioequivalence studies

Vernon M. Chinchilli, James D. Esinhari, William H. Barâ

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Abstract

In multiple-dose bioequivalence studies, it is possible at steady state to take repeated measurements of pharmacokinetic variables, such as area under the curve (AUC) and the maximum concentration (CMAX) of the blood concentration-time profile, within each period of a crossover design. We develop a bivariate random effects model for such a situation in a 2 x 2 crossover design using the natural.

Original language	English (US)
Pages (from-to)	423-435
Number of pages	13
Journal	Journal of Biopharmaceutical Statistics
Volume	4
Issue number	3
DOIs	https://doi.org/10.1080/10543409408835093
State	Published - Jan 1 1994

All Science Journal Classification (ASJC) codes

Statistics and Probability
Pharmacology
Pharmacology (medical)

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10.1080/10543409408835093

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AU - Barâ, William H.

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AB - In multiple-dose bioequivalence studies, it is possible at steady state to take repeated measurements of pharmacokinetic variables, such as area under the curve (AUC) and the maximum concentration (CMAX) of the blood concentration-time profile, within each period of a crossover design. We develop a bivariate random effects model for such a situation in a 2 x 2 crossover design using the natural.

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Analysis of multiple-dose bioequivalence studies

Abstract

All Science Journal Classification (ASJC) codes

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