Statistical Methods for Panel Studies with Applications in Environmental Epidemiology
Contributors: Coull, Brent A.; Gold, Diane R.; Catalano, Paul J.
Published: 2012
Language: eng
Description: Pollution studies have sought to understand the relationships between adverse health effects and harmful exposures. Many environmental health studies are predicated on the idea that each exposure has both acute and long term health effects that need to be accurately mapped. Considerable work has been done linking air pollution to deleterious health outcomes but the underlying biological pathways and contributing sources remain difficult to identify. There are many statistical issues that arise in the exploration of these longitudinal study designs such as understanding pathways of effects, addressing missing data, and assessing the health effects of multipollutant mixtures. To this end this dissertation aims to address the afore mentioned statistical issues.
Notes: Keywords: distributed lag model, hierarchical model, path analysis, regression calibration, source apportionment, structural equation model.

Thesis Ph.D. Harvard University 2012