Mixture of normal distributions in multivariate null intercept measurement error model

被引：3

作者：

Aoki, Reiko

Pinto Junior, Dorival Leao

Achcar, Jorge Alberto

Bolfarine, Heleno

机构：

[1] Univ Sao Paulo, ICMC, BR-13560970 Sao Carlos, SP, Brazil

[2] Univ Sao Paulo, Dept Estatist, Sao Paulo, Brazil

来源：

JOURNAL OF BIOPHARMACEUTICAL STATISTICS | 2006年 / 16卷 / 06期

基金：

巴西圣保罗研究基金会;

关键词：

Gibbs Sampler; measurement error models; mixture of normal distributions; pretest/posttest data;

D O I：

10.1080/10543400600801265

中图分类号：

R9 [药学];

学科分类号：

1007 ;

摘要：

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.

引用

页码：785 / 802

页数：18

共 26 条

[1] Null intercept measurement error regression models [J].