Limitations of individual causal models, causal graphs, and ignorability assumptions, as illustrated by random confounding and design unfaithfulness

Author:

Greenland Sander,Mansournia Mohammad Ali

Publisher

Springer Science and Business Media LLC

Subject

Epidemiology

Reference49 articles.

1. Glymour MM, Greenland S. Causal diagrams. In: Rothman KJ, Greenland S, Lash T, editors. Modern epidemiology. 3rd ed. Philadelphia: Lippincott Williams & Wilkins; 2008. p. 183–209.

2. Pearl J. Causality. 2nd ed. New York: Cambridge University Press; 2009.

3. Hernán MA, Robins JM. Causal inference. London: Chapman & Hall/CRC; 2015.

4. Greenland S, Robins JM. Identifiability, exchangeability, and epidemiological confounding. Int J Epidemiol. 1986;15:413–9.

5. Greenland S, Robins JM, Pearl J. Confounding and collapsibility in causal inference. Stat Sci. 1999;14:29–46.

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