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The Consistency Assumption for Causal Inference in Social Epidemiology: When a Rose is Not a Rose

The assumption that exposures as measured in observational settings have clear and specific definitions underpins epidemiologic research and allows us to use observational data to predict outcomes in interventions. This leap between exposures as measured and exposures as intervened upon is typically...

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書誌詳細
出版年:Curr Epidemiol Rep
主要な著者: Rehkopf, David H., Glymour, M. Maria, Osypuk, Theresa L.
フォーマット: Artigo
言語:Inglês
出版事項: 2016
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC4912021/
https://ncbi.nlm.nih.gov/pubmed/27326386
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s40471-016-0069-5
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