Artículos de revistas
Use of Bayesian Methods for Multivariate Bioequivalence Measures
Fecha
2009Registro en:
JOURNAL OF BIOPHARMACEUTICAL STATISTICS, NEW YORK, v.19, n.1, p.42-66, 2009
1054-3406
10.1080/10543400802513676
Autor
SOUZA, Roberto Molina de
ACHCAR, Jorge Alberto
MARTINEZ, Edson Zangiacomi
Institución
Resumen
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.