<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Waller, Lance A.</style></author><author><style face="normal" font="default" size="100%">Louis, Thomas A.</style></author><author><style face="normal" font="default" size="100%">Carlin, Bradley P.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Bayes methods for combining disease and exposure data in assessing environmental justice</style></title><secondary-title><style face="normal" font="default" size="100%">Environmental and Ecological Statistics</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">environmental equity</style></keyword><keyword><style  face="normal" font="default" size="100%">hierarchical model</style></keyword><keyword><style  face="normal" font="default" size="100%">Markov chain Monte Carlo</style></keyword><keyword><style  face="normal" font="default" size="100%">regulation</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">1997</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://dx.doi.org/10.1023/A%3A1018586715034</style></url></web-urls></urls><number><style face="normal" font="default" size="100%">4</style></number><publisher><style face="normal" font="default" size="100%">Kluwer Academic Publishers</style></publisher><volume><style face="normal" font="default" size="100%">4</style></volume><pages><style face="normal" font="default" size="100%">267-281</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Environmental justice reflects the equitable distribution of the burden of environmental hazards across various sociodemographic groups. The issue is important in environmental regulation, siting of hazardous waste repositories and prioritizing remediation of existing sources of exposure. We propose a statistical framework for assessing environmental justice. The framework includes a quantitative assessment of environmental equity based on the cumulative distribution of exposure within population subgroups linked to disease incidence through a dose-response function. This approach avoids arbitrary binary classifications of individuals solely as ’exposed’ or ’unexposed’. We present a Bayesian inferential approach, implemented using Markov chain Monte Carlo methods, that accounts for uncertainty in both exposure and response. We illustrate our method using data on leukemia deaths and exposure to toxic chemical releases in Allegheny County, Pennsylvania.&lt;/p&gt;
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