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Invited Commentary: Selection Bias Without Colliders
Author(s) -
Miguel A. Hernán
Publication year - 2017
Publication title -
american journal of epidemiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.33
H-Index - 256
eISSN - 1476-6256
pISSN - 0002-9262
DOI - 10.1093/aje/kwx077
Subject(s) - selection (genetic algorithm) , selection bias , medline , medicine , computer science , biology , artificial intelligence , pathology , biochemistry
In causal analyses, conditioning on a collider generally results in selection bias. Conditioning on a prognostic factor that is independent of the exposure—and therefore is not a collider—can also result in selection bias when 1) the exposure has a non-null effect on the outcome and 2) the association between the noncollider and the outcome is heterogenous across levels of the exposure. This result was empirically demonstrated by Greenland in 1977 (Am J Epidemiol. 1977;106(3):184–187).

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