Measurement error in epidemiologic studies of air pollution based on land use regression models

Measurement error in epidemiologic studies of air pollution based on land-use regression models.

Land-use regression (LUR) models are increasingly used to estimate air pollution exposure in epidemiologic studies. These models use air pollution measurements taken at a small set of locations and modeling based on geographical covariates for which data are available at all study participant locations. The process of LUR model development commonly includes a variable selection procedure. When ...

Epidemiologic studies of air pollution.

Measurement Error in Epidemiologic Studies

A review of land-use regression models to assess spatial variation of outdoor air pollution

Studies on the health effects of long-term average exposure to outdoor air pollution have played an important role in recent health impact assessments. Exposure assessment for epidemiological studies of long-term exposure to ambient air pollution remains a difficult challenge because of substantial small-scale spatial variation. Current approaches for assessing intra-urban air pollution contras...

A review of land-use regression models for characterizing intraurban air pollution exposure.

Epidemiologic studies of air pollution require accurate exposure assessments at unmonitored locations in order to minimize exposure misclassification. One approach gaining considerable interest is the land-use regression (LUR) model. Generally, the LUR model has been utilized to characterize air pollution exposure and health effects for individuals residing within urban areas. The objective of ...