A compelling demonstration of why traditional statistical regression models cannot be used to identify risk factors from case data on infectious diseases: a simulation study

Abstract Background Regression models are often used to explain the relative risk of infectious diseases among groups. For example, overrepresentation of immigrants among COVID-19 cases has been found in multiple countries. Several studies apply regression models to investigate whether different ris...

Täydet tiedot

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Bibliografiset tiedot
Päätekijät: Solveig Engebretsen, Gunnar Rø, Birgitte Freiesleben de Blasio
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: BMC 2022-05-01
Sarja:BMC Medical Research Methodology
Aiheet:
Relative risk
Communicable diseases
Infectious diseases
Regression models
Overrepresentation
Linkit:https://doi.org/10.1186/s12874-022-01565-1
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