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...

Full description

Saved in:
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
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c3582-8acffe7ce42d915e067cb799dfea4665d039ace9a9e61d16ecc3304b8862b7f93
cites cdi_FETCH-LOGICAL-c3582-8acffe7ce42d915e067cb799dfea4665d039ace9a9e61d16ecc3304b8862b7f93
container_end_page 157
container_issue 2
container_start_page 149
container_title EnvironMetrics (London, Ont.)
container_volume 14
creator Otani, Keiko
Ohtaki, Megu
Watanabe, Shaw
description 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.
doi_str_mv 10.1002/env.572
format article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_14657868</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>14657868</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3582-8acffe7ce42d915e067cb799dfea4665d039ace9a9e61d16ecc3304b8862b7f93</originalsourceid><addsrcrecordid>eNp1kEtv1TAQRiNEJfpA_AVvoIsqrR0njr0sV31J5VblWVVI1lxnjAyO3dq50PvvcZWKrljNtzhzRvNV1RtGDxmlzRGG34dd37yothlVqqaqu3lZMpO0bilVr6qdnH_SkkTXb1ffj0mCMMSRoLVopkxCDN4FhEQS_kiYs4uBjHFAT2xMBAL4TXaZREvKKZdiGDFM4ImJZYwuwPS4McAEe9WWBZ_x9dPcrb6cnnxenNeXV2cXi-PL2vBONrUEU273BttmUKxDKnqz6pUaLEIrRDdQrsCgAoWCDUygMZzTdiWlaFa9VXy3ejd771K8X2Oe9OiyQe8hYFxnzdryqxSygPszaFLMOaHVd8mNkDaaUf3Yni4v6dJeId8-KSEb8LaUZFx-xotRcckLdzBzf5zHzf90-mT5dbbWM-3yhA__aEi_tOh53-lvyzN9-0l8fN_Ia_2B_wXlYI6o</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>14657868</pqid></control><display><type>article</type><title>A random effects nonlinear regression model for analysis of environmental contamination data</title><source>Wiley-Blackwell Read &amp; Publish Collection</source><creator>Otani, Keiko ; Ohtaki, Megu ; Watanabe, Shaw</creator><creatorcontrib>Otani, Keiko ; Ohtaki, Megu ; Watanabe, Shaw</creatorcontrib><description>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 &amp; Sons, Ltd.</description><identifier>ISSN: 1180-4009</identifier><identifier>EISSN: 1099-095X</identifier><identifier>DOI: 10.1002/env.572</identifier><identifier>CODEN: ENVCEE</identifier><language>eng</language><publisher>Chichester, UK: John Wiley &amp; Sons, Ltd</publisher><subject>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</subject><ispartof>EnvironMetrics (London, Ont.), 2003-03, Vol.14 (2), p.149-157</ispartof><rights>Copyright © 2003 John Wiley &amp; Sons, Ltd.</rights><rights>2003 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3582-8acffe7ce42d915e067cb799dfea4665d039ace9a9e61d16ecc3304b8862b7f93</citedby><cites>FETCH-LOGICAL-c3582-8acffe7ce42d915e067cb799dfea4665d039ace9a9e61d16ecc3304b8862b7f93</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>309,310,314,776,780,785,786,23910,23911,25119,27903,27904</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&amp;idt=14659383$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Otani, Keiko</creatorcontrib><creatorcontrib>Ohtaki, Megu</creatorcontrib><creatorcontrib>Watanabe, Shaw</creatorcontrib><title>A random effects nonlinear regression model for analysis of environmental contamination data</title><title>EnvironMetrics (London, Ont.)</title><addtitle>Environmetrics</addtitle><description>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 &amp; Sons, Ltd.</description><subject>Biological and medical sciences</subject><subject>Chemical compounds (mineral, organic)</subject><subject>Chemical, physic and infectious diseases</subject><subject>dioxins</subject><subject>Medical sciences</subject><subject>Miscellaneous</subject><subject>nonlinear regression model</subject><subject>Occupational medicine</subject><subject>one-compartment model</subject><subject>period effect</subject><subject>Public health. Hygiene-occupational medicine</subject><subject>random effects</subject><subject>Toxicology</subject><issn>1180-4009</issn><issn>1099-095X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2003</creationdate><recordtype>article</recordtype><recordid>eNp1kEtv1TAQRiNEJfpA_AVvoIsqrR0njr0sV31J5VblWVVI1lxnjAyO3dq50PvvcZWKrljNtzhzRvNV1RtGDxmlzRGG34dd37yothlVqqaqu3lZMpO0bilVr6qdnH_SkkTXb1ffj0mCMMSRoLVopkxCDN4FhEQS_kiYs4uBjHFAT2xMBAL4TXaZREvKKZdiGDFM4ImJZYwuwPS4McAEe9WWBZ_x9dPcrb6cnnxenNeXV2cXi-PL2vBONrUEU273BttmUKxDKnqz6pUaLEIrRDdQrsCgAoWCDUygMZzTdiWlaFa9VXy3ejd771K8X2Oe9OiyQe8hYFxnzdryqxSygPszaFLMOaHVd8mNkDaaUf3Yni4v6dJeId8-KSEb8LaUZFx-xotRcckLdzBzf5zHzf90-mT5dbbWM-3yhA__aEi_tOh53-lvyzN9-0l8fN_Ia_2B_wXlYI6o</recordid><startdate>200303</startdate><enddate>200303</enddate><creator>Otani, Keiko</creator><creator>Ohtaki, Megu</creator><creator>Watanabe, Shaw</creator><general>John Wiley &amp; Sons, Ltd</general><general>Wiley</general><scope>BSCLL</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>C1K</scope><scope>SOI</scope></search><sort><creationdate>200303</creationdate><title>A random effects nonlinear regression model for analysis of environmental contamination data</title><author>Otani, Keiko ; Ohtaki, Megu ; Watanabe, Shaw</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3582-8acffe7ce42d915e067cb799dfea4665d039ace9a9e61d16ecc3304b8862b7f93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2003</creationdate><topic>Biological and medical sciences</topic><topic>Chemical compounds (mineral, organic)</topic><topic>Chemical, physic and infectious diseases</topic><topic>dioxins</topic><topic>Medical sciences</topic><topic>Miscellaneous</topic><topic>nonlinear regression model</topic><topic>Occupational medicine</topic><topic>one-compartment model</topic><topic>period effect</topic><topic>Public health. Hygiene-occupational medicine</topic><topic>random effects</topic><topic>Toxicology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Otani, Keiko</creatorcontrib><creatorcontrib>Ohtaki, Megu</creatorcontrib><creatorcontrib>Watanabe, Shaw</creatorcontrib><collection>Istex</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Environment Abstracts</collection><jtitle>EnvironMetrics (London, Ont.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Otani, Keiko</au><au>Ohtaki, Megu</au><au>Watanabe, Shaw</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A random effects nonlinear regression model for analysis of environmental contamination data</atitle><jtitle>EnvironMetrics (London, Ont.)</jtitle><addtitle>Environmetrics</addtitle><date>2003-03</date><risdate>2003</risdate><volume>14</volume><issue>2</issue><spage>149</spage><epage>157</epage><pages>149-157</pages><issn>1180-4009</issn><eissn>1099-095X</eissn><coden>ENVCEE</coden><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 © 2003 John Wiley &amp; Sons, Ltd.</abstract><cop>Chichester, UK</cop><pub>John Wiley &amp; Sons, Ltd</pub><doi>10.1002/env.572</doi><tpages>9</tpages></addata></record>
fulltext fulltext
identifier ISSN: 1180-4009
ispartof EnvironMetrics (London, Ont.), 2003-03, Vol.14 (2), p.149-157
issn 1180-4009
1099-095X
language eng
recordid cdi_proquest_miscellaneous_14657868
source Wiley-Blackwell Read & Publish Collection
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
title A random effects nonlinear regression model for analysis of environmental contamination data
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-21T15%3A52%3A27IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20random%20effects%20nonlinear%20regression%20model%20for%20analysis%20of%20environmental%20contamination%20data&rft.jtitle=EnvironMetrics%20(London,%20Ont.)&rft.au=Otani,%20Keiko&rft.date=2003-03&rft.volume=14&rft.issue=2&rft.spage=149&rft.epage=157&rft.pages=149-157&rft.issn=1180-4009&rft.eissn=1099-095X&rft.coden=ENVCEE&rft_id=info:doi/10.1002/env.572&rft_dat=%3Cproquest_cross%3E14657868%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c3582-8acffe7ce42d915e067cb799dfea4665d039ace9a9e61d16ecc3304b8862b7f93%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=14657868&rft_id=info:pmid/&rfr_iscdi=true