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Causal inference in environmental epidemiology.

Sanghyuk BaeHwan-Cheol KimByeongjin YeWon Jun ChoiYoung Seoub HongMina Ha
Published in: Environmental health and toxicology (2017)
Inferring causality is necessary to achieve the goal of epidemiology, which is to elucidate the cause of disease. Causal inference is conducted in three steps: evaluation of validity of the study, inference of general causality, and inference of individual causality. To evaluate validity of the study, we propose a checklist that focuses on biases and generalizability. For general causal inference, we recommend utilizing Hill's 9 viewpoints. Lastly, individual causality can be inferred based on the general causality and evidence of exposure. Additional considerations may be needed for social or legal purposes; however, these additional considerations should be based on the scientific truth elucidated by the causal inference described in the present article.
Keyphrases
  • single cell
  • adverse drug
  • healthcare
  • mental health
  • risk assessment
  • climate change
  • human health