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Commentary: Mendelian randomization-inspired causal inference in the absence of genetic data

Abstract:

Studying the long-term causal effects of alcohol drinking is notoriously difficult. Epidemiological studies that use conventional analytical approaches are likely to be confounded and affected by reporting/recall bias and reverse causality, specifically in the form of the sick quitter effect (individuals quitting or never starting to consume alcohol due to underlying ill health).(1) Decades of observational data showing J-shaped relationships of alcohol with risk of disease and in particular ...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Accepted Manuscript

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Publisher copy:
10.1093/ije/dyw327

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Department:
Oxford, MSD, Nuffield Department of Population Health, Clinical Trial Service Unit
Role:
Author
Publisher:
Oxford University Press Publisher's website
Journal:
International Journal of Epidemiology Journal website
Volume:
46
Issue:
3
Pages:
962–965
Publication date:
2016-12-26
DOI:
EISSN:
1464-3685
ISSN:
0300-5771
Pubs id:
pubs:667516
URN:
uri:41c2bdde-7326-4c75-a31e-f89eff06d1fd
UUID:
uuid:41c2bdde-7326-4c75-a31e-f89eff06d1fd
Local pid:
pubs:667516
Paper number:
3
Language:
English

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