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

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 th...

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Bibliographic Details
Published in:EnvironMetrics (London, Ont.) Ont.), 2003-03, Vol.14 (2), p.149-157
Main Authors: Otani, Keiko, Ohtaki, Megu, Watanabe, Shaw
Format: Article
Language:English
Subjects:
Biological and medical sciences
Chemical compounds (mineral, organic)
Chemical, physic and infectious diseases
dioxins
Medical sciences
Miscellaneous
nonlinear regression model
Occupational medicine
one-compartment model
period effect
Public health. Hygiene-occupational medicine
random effects
Toxicology
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Summary: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 © 2003 John Wiley & Sons, Ltd.
ISSN:1180-4009
1099-095X
DOI:10.1002/env.572