INTEGRATING MULTIPLE BUILT ENVIRONMENT DATA SOURCES.

ABSTRACT: Studies examining the contribution of the built environment to health often rely on commercial data sources to derive exposure measures such as the number of specific food outlets in study participants' neighborhoods. Data on the location of community amenities (e.g., food outlets) can be collected from multiple sources. However, these commercial listings are known to have ascertainment errors and thus provide conflicting claims about the number and location of amenities. We propose a method that integrates exposure measures from different databases while accounting for ascertainment errors and obtains unbiased health effects of latent exposure. We frame the problem of conflicting exposure measures as a problem of two contingency tables with partially known margins, with the entries of the

SUBMITTER: Won JY 

PROVIDER: S-EPMC11600455 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature