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- W1884552600 abstract "In the field of environmental epidemiology, there is a great deal of care required in constructing models that accurately estimate the effects of environmental exposures on human health. This is because the nature of the data that is available to researchers to estimate these effects is almost always observational in nature, making it difficult to adequately control for all potential confounders both measured and unmeasured. Here, we tackle three different problems in which the goal is to accurately estimate the effect of an environmental exposure on various health outcomes. In Chapter 1, we extend and expand upon a previous study examining the relationship between fine particle air pollution and life expectancy in the United States (US) by analyzing data from the period 2000 to 2007 from 545 counties across the US. Using straightforward regression techniques, we estimate the association between changes in air pollution levels and changes in life expectancy over the period from 2000 to 2007 for the entire US as well as for a number of subpopulations within the US. Chapter 2 builds upon the previous chapter by developing a modeling approach for estimating the effects of monthly variations in fine particle air pollution on monthly variations in mortality while controlling for potential sources of confounding. We first show via a simulation study where previous approaches to estimating this relationship break down. We then propose a new model to overcome those deficiencies, and we evaluate this approach using a large Medicare dataset linked with air pollution exposure estimates from across the US." @default.
- W1884552600 created "2016-06-24" @default.
- W1884552600 creator A5042156627 @default.
- W1884552600 date "2013-10-08" @default.
- W1884552600 modified "2023-09-24" @default.
- W1884552600 title "Estimating the Health Effects of Environmental Exposures: Statistical Methods for the Analysis of Spatio-temporal Data" @default.
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