Exploring the impact of selection bias in observational studies of COVID-19: a simulation study

Non-random selection of analytic subsamples could introduce selection bias in observational studies. We explored the potential presence and impact of selection in studies of SARS-CoV-2 infection and COVID-19 prognosis. We tested the association of a broad range of characteristics with selection into...

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Veröffentlicht in:	International journal of epidemiology 2023-02, Vol.52 (1), p.44-57
Hauptverfasser:	Millard, Louise A C, Fernández-Sanlés, Alba, Carter, Alice R, Hughes, Rachael A, Tilling, Kate, Morris, Tim P, Major-Smith, Daniel, Griffith, Gareth J, Clayton, Gemma L, Kawabata, Emily, Davey Smith, George, Lawlor, Deborah A, Borges, Maria Carolina
Format:	Artikel
Sprache:	eng
Schlagworte:	Adult Bias Child Covid-19 COVID-19 - epidemiology Humans Longitudinal Studies Observational Studies as Topic SARS-CoV-2 Selection Bias
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