Assessing and addressing collider bias in addiction research: the curious case of smoking and COVID-19.

Tattan-Birch, Harry; Marsden, John; West, Robert; Gage, Suzanne H

Tattan-Birch, Harry; Marsden, John; West, Robert; Gage, Suzanne H.

Tattan-Birch H; Department of Behavioural Science and Health, University College London, UK.
Marsden J; Addictions Department, Institute of Psychiatry, Psychology and Neuroscience, Kings College London, UK.
West R; Department of Behavioural Science and Health, University College London, UK.
Gage SH; Department of Psychology, University of Liverpool, UK.

Addiction ; 116(5): 982-984, 2021 05.

Article in English | MEDLINE | ID: covidwho-1180765

Subject(s)

COVID-19; Selection Bias; Smoking; Behavior, Addictive; Confounding Factors, Epidemiologic; Epidemiologic Research Design; Humans; SARS-CoV-2

Keywords

COVID-19; Causal inference; collider bias; confounding; selection bias; smoking

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Smoking / Selection Bias / COVID-19 Limits: Humans Language: English Journal: Addiction Journal subject: Substance-Related Disorders Year: 2021 Document Type: Article Affiliation country: Add.15348

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