A random effects nonlinear regression model for analysis of environmental contamination data

被引：2
|
作者：
Otani, K
Ohtaki, M
Watanabe, S
机构：
[1] Hiroshima Univ, Res Inst Radiat & Med, Dept Environmetr & Biometr, Hiroshima, Japan
[2] Tokyo Univ Agr, Fac Appl Biosci, Dept Nutr Sci, Tokyo, Japan
来源：
ENVIRONMETRICS | 2003年 / 14卷 / 02期
关键词：
dioxins; nonlinear regression model; one-compartment model; period effect; random effects;
D O I：
10.1002/env.572
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
The purpose of this study is to examine the relationship between dioxin concentration in humans and their living environmental factors such as diet or residential district. We develop a nonlinear random effects regression model based on a pharmacokinetic model that explains dioxin accumulation in the human body. The model takes into consideration two points: individual differences in dioxin intake and historical exposure to dioxins. We apply the model to data collected by the Japanese Ministry of Health, Labour and Welfare. Copyright (C) 2003 John Wiley Sons, Ltd.
引用
收藏
页码：149 / 157
页数：9
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