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Activity Number: 87 - Invited ePoster Session: a Statistical Smörgåsbord
Type: Invited
Date/Time: Sunday, July 29, 2018 : 8:30 PM to 10:30 PM
Sponsor: Section on Statistics in Epidemiology
Abstract #329798
Title: A Grouped Weighted Quantile Regression Approach to Modeling Environmental Chemical Mixtures and Childhood Leukemia Risk
Author(s): David C. Wheeler*
Companies: Virginia Commonwealth University
Keywords: exposure; cancer; mixture; environment; chemicals; epidemiology

Individuals are exposed to a large number of diverse environmental chemicals simultaneously and evaluation of multiple exposures is important for identifying cancer risk factors. Increasingly, exposures are being measured for a large number of chemicals in epidemiological studies to allow for a more comprehensive assessment of environmental cancer risk factors. Traditional statistical methods used in existing studies are significantly challenged by the strong correlation observed among chemical exposures. Hence, there is a need for development and assessment of statistical methods to model environmental chemical cancer risk that consider a large number of diverse and correlated chemicals with different effects for different chemical classes. The aim of this research was to develop a grouped weighted quantile regression model for a case-control study of childhood leukemia in California that contains concentrations measured for a large number of chemicals of different classes. Childhood leukemia is a cancer with an unclear etiology and suspected environmental risk factors. We used different indices for different chemical classes in the model to allow for heterogeneity in effects.

Authors who are presenting talks have a * after their name.

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