Use of Bayesian Methods for Multivariate Bioequivalence Measures
Contribuinte(s) |
UNIVERSIDADE DE SÃO PAULO |
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Data(s) |
20/10/2012
20/10/2012
2009
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Resumo |
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. CNPq[300235/2005-4] Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) FAPESP[2007/01594-0] |
Identificador |
JOURNAL OF BIOPHARMACEUTICAL STATISTICS, NEW YORK, v.19, n.1, p.42-66, 2009 1054-3406 http://producao.usp.br/handle/BDPI/28786 10.1080/10543400802513676 |
Idioma(s) |
eng |
Publicador |
TAYLOR & FRANCIS INC NEW YORK |
Relação |
Journal of Biopharmaceutical Statistics |
Direitos |
restrictedAccess Copyright TAYLOR & FRANCIS INC |
Palavras-Chave | #Bayesian methods #Bioequivalence #MCMC methods #Multivariate pharmacokinetic measures #AVERAGE BIOEQUIVALENCE #BIOAVAILABILITY #EQUIVALENCE #INFERENCE #TRIALS #MODELS #TESTS #Pharmacology & Pharmacy #Statistics & Probability |
Tipo |
article original article publishedVersion |