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

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...

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Bibliographic Details
Main Authors: Solveig Engebretsen, Gunnar Rø, Birgitte Freiesleben de Blasio
Format: Article
Language:English
Published: BMC 2022-05-01
Series:BMC Medical Research Methodology
Subjects:
Relative risk
Communicable diseases
Infectious diseases
Regression models
Overrepresentation
Online Access:https://doi.org/10.1186/s12874-022-01565-1

Internet

https://doi.org/10.1186/s12874-022-01565-1

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