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A1308
Title: Causal inference in environmental epidemiology research with large-size retrospective cohort data Authors:  Whanhee LEE - Pusan National University (Korea, South) [presenting]
Abstract: The causal inference has been raised as a very important topic in environmental epidemiology research, especially in relation to air pollution. Including the U.S. Environmental Protection Agency (EPA); although many regulatory authorities have tried to establish their air pollution standards based on causal evidence, the related research is limited, still. To address this limitation, recently, several studies have attempted to provide generalizable air pollution risk estimates based on large retrospective cohort data with causal inference analytic methods. In particular, the national health insurance system-based claim cohort has been widely used in this research field. Thus, the current stage and emerging methodological/analytic issues in epidemiological studies are addressed to find the causal association between air pollution and health outcome with the health insurance cohort data.