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