The impact of measurement error in modeled ambient particles exposures on health effect estimates in multilevel analysis: A simulation study.

ABSTRACT: Various spatiotemporal models have been proposed for predicting ambient particulate exposure for inclusion in epidemiological analyses. We investigated the effect of measurement error in the prediction of particulate matter with diameter <10 µm (PM₁₀) and <2.5 µm (PM_2.5) concentrations on the estimation of health effects.

Methods

We sampled 1,000 small administrative areas in London, United Kingdom, and simulated the "true" underlying daily exposure surfaces for PM₁₀ and PM_2.5 for 2009-2013 incorporating temporal variation and spatial covariance informed by the extensive London monitoring network. We added measurement error assessed by comparing measurements at fixed sites and predictions from spatiotemporal land-use regression (LUR) model

SUBMITTER: Samoli E 

PROVIDER: S-EPMC7319186 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature