Causal Knowledge as a Prerequisite for Confounding Evaluation: An Application to Birth Defects Epidemiology

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ID: 294582
2002
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Abstract
Common strategies to decide whether a variable is a confounder that should be adjusted for in the analysis rely mostly on statistical criteria. The authors present findings from the Slone Epidemiology Unit Birth Defects Study, 1992–1997, a case-control study on folic acid supplementation and risk of neural tube defects. When statistical strategies for confounding evaluation are used, the adjusted odds ratio is 0.80 (95% confidence interval: 0.62, 1.21). However, the consideration of a priori causal knowledge suggests that the crude odds ratio of 0.65 (95% confidence interval: 0.46, 0.94) should be used because the adjusted odds ratio is invalid. Causal diagrams are used to encode qualitative a priori subject matter knowledge.
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openalex_W2113002312 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Miguel A. Hernán
Journal american journal of epidemiology
Year 2002
DOI
10.1093/aje/155.2.176
URL
https://academic.oup.com/aje/article-pdf/155/2/176/252748/176.pdf
Keywords Keywords not found

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