Causal Modeling in Environmental Health.

Causal Modeling in Environmental Health. Annu Rev Public Health. 2019 Jan 11;: Authors: Bind MA 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. Expected final online publication date for the Annual Review of Public Health Volume 40 is April 1, 2019. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates. PMID: 30633715 [PubMed - as supplied by publisher]
Source: Annual Review of Public Health - Category: International Medicine & Public Health Authors: Tags: Annu Rev Public Health Source Type: research