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