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dc.contributor.advisorDominici, Francesca
dc.contributor.authorCorreia, Andrew William
dc.date.accessioned2013-10-09T01:28:35Z
dc.date.issued2013-10-08
dc.date.submitted2013
dc.identifier.citationCorreia, Andrew William. 2013. Estimating the Health Effects of Environmental Exposures: Statistical Methods for the Analysis of Spatio-temporal Data. Doctoral dissertation, Harvard University.en_US
dc.identifier.otherhttp://dissertations.umi.com/gsas.harvard:10828en
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:11158266
dc.description.abstractIn 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.en_US
dc.language.isoen_USen_US
dash.licenseLAA
dc.subjectBiostatisticsen_US
dc.subjectEnvironmental healthen_US
dc.titleEstimating the Health Effects of Environmental Exposures: Statistical Methods for the Analysis of Spatio-temporal Dataen_US
dc.typeThesis or Dissertationen_US
dash.depositing.authorCorreia, Andrew William
dc.date.available2013-10-09T01:28:35Z
thesis.degree.date2013en_US
thesis.degree.disciplineBiostatisticsen_US
thesis.degree.grantorHarvard Universityen_US
thesis.degree.leveldoctoralen_US
thesis.degree.namePh.D.en_US
dc.contributor.committeeMemberCoull, Brenten_US
dc.contributor.committeeMemberLevy, Jonathanen_US
dash.contributor.affiliatedCorreia, Andrew William


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