4.5 Review Book Chapter

Causal Modeling in Environmental Health

期刊

ANNUAL REVIEW OF PUBLIC HEALTH, VOL 40
卷 40, 期 -, 页码 23-43

出版社

ANNUAL REVIEWS
DOI: 10.1146/annurev-publhealth-040218-044048

关键词

causal inference; public health; epidemiology; air pollution; statistical methods

资金

  1. NIH HHS [DP5 OD021412] Funding Source: Medline
  2. OFFICE OF THE DIRECTOR, NATIONAL INSTITUTES OF HEALTH [DP5OD021412] Funding Source: NIH RePORTER

向作者/读者索取更多资源

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.

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