Mixture of normal distributions in multivariate null intercept measurement error model

J Biopharm Stat. 2006;16(6):785-802. doi: 10.1080/10543400600801265.

Abstract

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.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms
  • Bayes Theorem
  • Clinical Trials as Topic
  • Dental Plaque / drug therapy
  • Humans
  • Models, Statistical*
  • Monte Carlo Method
  • Mouthwashes / therapeutic use
  • Multivariate Analysis*
  • Research Design

Substances

  • Mouthwashes