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

BACKGROUND: 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. METHODS: We tested the association of a broad range of characteristic...

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Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Covid-19
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9908043/
https://www.ncbi.nlm.nih.gov/pubmed/36474414
http://dx.doi.org/10.1093/ije/dyac221

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9908043/
https://www.ncbi.nlm.nih.gov/pubmed/36474414
http://dx.doi.org/10.1093/ije/dyac221

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