Causal Modeling in Environmental Health

Posted: 2 May 2019

Date Written: April 2019

Abstract

The field of environmental health has been dominated by modeling associations, especially by regressing an observed outcome on a linear or nonlinear function of observed covariates. Readers interested in advances in policies for improving environmental health are, however, expecting to be informed about health effects resulting from, or more explicitly caused by, environmental exposures. The quantification of health impacts resulting from the removal of environmental exposures involves causal statements. Therefore, when possible, causal inference frameworks should be considered for analyzing the effects of environmental exposures on health outcomes.

Suggested Citation

Bind, Marie-Abèle, Causal Modeling in Environmental Health (April 2019). Annual Review of Public Health, Vol. 40, pp. 23-43, 2019, Available at SSRN: https://ssrn.com/abstract=3381477 or http://dx.doi.org/10.1146/annurev-publhealth-040218-044048

Marie-Abèle Bind (Contact Author)

Harvard University ( email )

1875 Cambridge Street
Cambridge, MA 02138
United States

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