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Activity Number: 259 - SPEED: Environmetrics: Spatio-Temporal and Other Models
Type: Contributed
Date/Time: Monday, July 30, 2018 : 3:05 PM to 3:50 PM
Sponsor: Section on Statistics and the Environment
Abstract #332945
Title: Evaluating the Impact of Using Residential Histories When Estimating Environmental Exposure Effects
Author(s): Anny-Claude Joseph* and David C. Wheeler
Companies: Virginia Commonwealth University and Virginia Commonwealth University
Keywords: Spatial Risk; Epidemiology; Environment

In many studies of disease risk, researchers analyze the spatial-temporal patterns of health outcomes to identify potential environmental factors. For diseases like cancer, historic exposures may be more relevant than exposure at the time of diagnosis. We hypothesize that using environmental exposures assigned using residential histories may reduce bias in the estimates of the relationship between environmental factors and the outcome of interest. To test this hypothesis, we conduct a simulation study based on the residential histories of a random sample from the NIH-AARP Diet and Health Study. We compare estimates from models where exposure is fixed to estimates where exposure varies temporally. As residential histories are not typically collected in epidemiologic studies, we conduct another simulation study to compare the estimates of exposure effects using residential histories generated from a public records database to those collected in a study. We hypothesize that using generated address in place of collected addresses will not significantly alter the bias for estimates of the exposure effects.

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

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