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

✍ Scribed by Keiko Otani; Megu Ohtaki; Shaw Watanabe

Publisher
John Wiley and Sons
Year
2003
Tongue
English
Weight
91 KB
Volume
14
Category
Article
ISSN
1180-4009

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✦ Synopsis

Abstract

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 Β© 2003 John Wiley & Sons, Ltd.

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