Use of Bayesian methods for multivariate bioequivalence measures.
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.
Molina de Souza
Roberto
R
Departamento de Medicina Social, Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, S.P. Brazil.
Achcar
Jorge Alberto
JA
Martinez
Edson Zangiacomi
EZ
D000465:Algorithms; D019540:Area Under Curve; D001499:Bayes Theorem; D006801:Humans; D016013:Likelihood Functions; D015233:Models, Statistical; D009010:Monte Carlo Method; D015999:Multivariate Analysis; D004364:Pharmaceutical Preparations / Q000008:administration & dosage* / Q000097:blood / Q000378:metabolism; D010599:Pharmacokinetics; D013810:Therapeutic Equivalency
D004364:Pharmaceutical Preparations