SciCombinator

Discover the most talked about and latest scientific content & concepts.

Causal Inference in Environmental Epidemiology

OPEN Environmental health and toxicology | 14 Oct 2017

S Bae, HC Kim, B Ye, W Choi, YS Hong and M Ha
Abstract
Inferring causality is necessary to achieve the goal of epidemiology, elucidating 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 proposed a checklist which focuses on biases and generalizability. For general causal inference, Hill’s 9 viewpoints can be used. 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.
Tweets*
0
Facebook likes*
0
Reddit*
0
News coverage*
0
Blogs*
0
SC clicks
0
Concepts
Reasoning, Epidemiology, Inference, Causality, Logic
MeSH headings
-
comments powered by Disqus

* Data courtesy of Altmetric.com