Ambient Air Pollution Estimation Using Bayesian Hierarchical Models
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On estimating the spatial distribution of Yersinia pestis in the United States using a wide-ranging sentinel species and spatial statistics with sampling considerations
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Advanced gap-filling techniques in satellite-based PM2.5 exposure models and their applications in air pollution epidemiology
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Addressing gaps in the age-specific evidence used for United States air pollution policy