Use of Bayesian methods for multivariate bioequivalence measures

Journal of Biopharmaceutical Statistics
Roberto Molina de SouzaEdson Zangiacomi Martinez

Abstract

In this paper, we introduce a Bayesian analysis for bioequivalence data assuming multivariate pharmacokinetic measures. With the introduction of correlation parameters between the pharmacokinetic measures or between the random effects in the bioequivalence models, we observe a good improvement in the bioequivalence results. These results are of great practical interest since they can yield higher accuracy and reliability for the bioequivalence tests, usually assumed by regulatory offices. An example is introduced to illustrate the proposed methodology by comparing the usual univariate bioequivalence methods with multivariate bioequivalence. We also consider some usual existing discrimination Bayesian methods to choose the best model to be used in bioequivalence studies.

References

Mar 1, 1997·Journal of Biopharmaceutical Statistics·V M Chinchilli, R K Elswick
Oct 18, 2000·Statistics in Medicine·J ShaoB Wang
Jul 19, 2001·Journal of Biopharmaceutical Statistics·G DangeloJ Turgeon
Dec 18, 2002·Statistics in Medicine·Shein-Chung ChowHansheng Wang
Oct 31, 2003·Journal of Biopharmaceutical Statistics·Pulak Ghosh, Ravindra Khattree
Jul 13, 2006·Statistics in Medicine·Pulak Ghosh, Gary L Rosner
Dec 21, 2007·Statistics in Medicine·Pulak Ghosh, Mithat Gönen

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Citations

Nov 20, 2014·Pharmaceutical Statistics·Liping Du, Leena Choi
Sep 1, 2017·Statistics in Medicine·Philip Pallmann, Thomas Jaki

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