Commentary: The formal approach to quantitative causal inference in epidemiology: misguided or misrepresented?
- PMID: 28130320
- PMCID: PMC5841837
- DOI: 10.1093/ije/dyw227
Commentary: The formal approach to quantitative causal inference in epidemiology: misguided or misrepresented?
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Comment in
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Response: FACEing reality: productive tensions between our epidemiological questions, methods and mission.Int J Epidemiol. 2016 Dec 1;45(6):1852-1865. doi: 10.1093/ije/dyw330. Int J Epidemiol. 2016. PMID: 28130315 No abstract available.
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Response: Formalism or pluralism? A reply to commentaries on 'Causality and causal inference in epidemiology'.Int J Epidemiol. 2016 Dec 1;45(6):1841-1851. doi: 10.1093/ije/dyw298. Int J Epidemiol. 2016. PMID: 28130316 Free PMC article. No abstract available.
Comment on
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Causality and causal inference in epidemiology: the need for a pluralistic approach.Int J Epidemiol. 2016 Dec 1;45(6):1776-1786. doi: 10.1093/ije/dyv341. Int J Epidemiol. 2016. PMID: 26800751 Free PMC article.
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The tale wagged by the DAG: broadening the scope of causal inference and explanation for epidemiology.Int J Epidemiol. 2016 Dec 1;45(6):1787-1808. doi: 10.1093/ije/dyw114. Int J Epidemiol. 2016. PMID: 27694566
References
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- Krieger N, Davey Smith G. The tale wagged by the DAG: broadening the scope of causal inference and explanation for epidemiology . Int J Epidemiol 2016;45:1787–808. - PubMed
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- Herna´n MA. Invited commentary: hypothetical interventions to define causal effects—afterthought or prerequisite? Am J Epidemiol 2005;162:618–20. - PubMed
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- Robins JM. A new approach to causal inference in mortality studies with sustained exposure periods – Application to control of the healthy worker survivor effect. Mathematical Modelling 1986;7:1393–512.
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- Robins JM, Herna´n M, Brumback B. Marginal structural models and causal inference in epidemiology. Epidemiology 2000;11:550–60. - PubMed
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