Literature DB >> 27237595

Causal identification: a charge of epidemiology in danger of marginalization.

Sharon Schwartz1, Nicolle M Gatto2, Ulka B Campbell2.   

Abstract

The requirement for framing all causal questions as well-defined interventions is being promoted in the causal inference literature within epidemiology. One can consider this perspective as an intervention on the field which requires a refocusing of epidemiologic questions and retooling of epidemiologic methods. Although this intervention has produced many positive results, we think that its underlying assumptions and the possibilities of unintended consequences warrant examination. In so doing, we argue that this approach can lead to the neglect of causal identification as a useful link between associations and the estimation of intervention effects.
Copyright © 2016 Elsevier Inc. All rights reserved.

Keywords:  Causal effects; Counterfactuals; Potential outcomes

Mesh:

Year:  2016        PMID: 27237595     DOI: 10.1016/j.annepidem.2016.03.013

Source DB:  PubMed          Journal:  Ann Epidemiol        ISSN: 1047-2797            Impact factor:   3.797


  13 in total

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Review 5.  Does water kill? A call for less casual causal inferences.

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Journal:  Ann Epidemiol       Date:  2016-08-31       Impact factor: 3.797

6.  On Well-defined Hypothetical Interventions in the Potential Outcomes Framework.

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8.  Criminogenic risk assessment: A meta-review and critical analysis.

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9.  Sampling and Sampling Frames in Big Data Epidemiology.

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Journal:  Curr Epidemiol Rep       Date:  2019-02-02

10.  The Serpent of Their Agonies: Exploitation as Structural Determinant of Mental Illness.

Authors:  Seth J Prins; Sarah McKetta; Jonathan Platt; Carles Muntaner; Katherine M Keyes; Lisa M Bates
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