Ontology highlight
ABSTRACT:
SUBMITTER: Szpiro AA
PROVIDER: S-EPMC3169665 | biostudies-other | 2011 Oct
REPOSITORIES: biostudies-other
Biostatistics (Oxford, England) 20110120 4
Association studies in environmental statistics often involve exposure and outcome data that are misaligned in space. A common strategy is to employ a spatial model such as universal kriging to predict exposures at locations with outcome data and then estimate a regression parameter of interest using the predicted exposures. This results in measurement error because the predicted exposures do not correspond exactly to the true values. We characterize the measurement error by decomposing it into ...[more]