Mixture of normal distributions in multivariate null intercept measurement error model.
In this paper we propose the use of a multivariate null intercept measurement error model, where the true unobserved value of the covariate follows a mixture of two normal distributions. The proposed model is applied to a dental clinical trial presented in Hadgu and Koch (1999). A Bayesian approach is considered and a Gibbs Sampler is used to perform the computations.
Aoki
Reiko
R
Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo, São Carlos, São Paulo, Brazil. reikoi@icmc.sc.usp.br
Pinto Júnior
Dorival Leão
DL
Achcar
Jorge Alberto
JA
Bolfarine
Heleno
H
D000465:Algorithms; D001499:Bayes Theorem; D002986:Clinical Trials as Topic; D003773:Dental Plaque / Q000188:drug therapy; D006801:Humans; D015233:Models, Statistical; D009010:Monte Carlo Method; D009067:Mouthwashes / Q000627:therapeutic use; D015999:Multivariate Analysis; D012107:Research Design
D009067:Mouthwashes