Commentary: DAGs and the restricted potential outcomes approach are tools, not theories of causation

Tony Blakely^{1

2}, John Lynch³, Rebecca Bentley²

Affiliations

¹ Department of Public Health, University of Otago, Wellington, New Zealand.
² School of Population and Global Health, University of Melbourne, Parkville, VIC, Australia.
³ School of Population Health, University of Adelaide, Adelaide, SA, Australia.

Comment

Tony Blakely et al. Int J Epidemiol. 2016.

. 2016 Dec 1;45(6):1835-1837.

doi: 10.1093/ije/dyw228.

Tony Blakely^{1

2}, John Lynch³, Rebecca Bentley²

¹ Department of Public Health, University of Otago, Wellington, New Zealand.
² School of Population and Global Health, University of Melbourne, Parkville, VIC, Australia.
³ School of Population Health, University of Adelaide, Adelaide, SA, Australia.

No abstract available

Comment in

Response: FACEing reality: productive tensions between our epidemiological questions, methods and mission.
Krieger N, Davey Smith G. Krieger N, et al. Int J Epidemiol. 2016 Dec 1;45(6):1852-1865. doi: 10.1093/ije/dyw330. Int J Epidemiol. 2016. PMID: 28130315 No abstract available.
Response: Formalism or pluralism? A reply to commentaries on 'Causality and causal inference in epidemiology'.
Broadbent A, Vandenbroucke JP, Pearce N. Broadbent A, et al. 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.

Causality and causal inference in epidemiology: the need for a pluralistic approach.
Vandenbroucke JP, Broadbent A, Pearce N. Vandenbroucke JP, et al. Int J Epidemiol. 2016 Dec 1;45(6):1776-1786. doi: 10.1093/ije/dyv341. Int J Epidemiol. 2016. PMID: 26800751 Free PMC article.
The tale wagged by the DAG: broadening the scope of causal inference and explanation for epidemiology.
Krieger N, Davey Smith G. Krieger N, et al. Int J Epidemiol. 2016 Dec 1;45(6):1787-1808. doi: 10.1093/ije/dyw114. Int J Epidemiol. 2016. PMID: 27694566