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The C-Word

The More We Discuss It, the Less Dirty It Sounds

Bibliographic Data

ID11032093
AuthorsMiguel A Hernán (0000-0003-1619-8456, Harvard University, corresponding author), Miguel Hernan (Miguel A. Hernán is with the Departments of Epidemiology and Biostatistics, Harvard T. H. Chan School of Public Health, and the Harvard-MIT Division of Health Sciences and Technology, Boston, MA.)
Year2018
Volume108
Issue5
Pages625-626
Publication date2018-05-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueAmerican Journal of Public Health (JOURNAL)
Journal identifiersISSN: 0090-0036 • E-ISSN: 1541-0048
PublisherAmerican Public Health Association (PUBLISHER • US)
DOI10.2105/ajph.2018.304392
PMID29617608
OpenAlexW2795772963
LanguageEN
Citations received3
References cited3

A response is provided to several articles within the issue on the theory of causation for diseases, including in regard to statistical association and observational studies data. An overview of the risk of research bias, including bias's relationship with mismeasurement and research selection, is provided

Association (psychology) · Linguistics · Psychotherapist · Word (group theory) · Advanced Causal Inference Techniques · Health Systems, Economic Evaluations, Quality of Life · Medicine · Philosophy · Psychology · Statistical Methods in Clinical Trials

  • The Taboo Against Explicit Causal Inference in Nonexperimental Psychology

    Open Access•Michael P Grosz, Julia M Rohrer et al.•Perspectives on Psychological…•2020

  • Cannabis Legalization and Cannabis Use Disorder by Sex in Veterans Health Administration Patients, 2005–2019

    Caroline G Wisell, Deborah S Hasin et al.•Substance Use & Misuse•2026

  • A workflow for causal inference in cross-cultural psychology

    Joseph A Bulbulia•Religion Brain & Behavior•2023

  • Robins-I

    Open Access•Jonathan Sterne, Jonathan AC Sterne et al.•BMJ•2016

Unique citing works3
Citations per year0,5
Citation span2020 - 2026 (7)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 3

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