Collider bias undermines our understanding of COVID-19 disease risk and severity

Collider bias undermines our understanding of COVID-19 disease risk and severity

Many published studies of the current SARS-CoV-2 pandemic have analysed data from non-representative samples from populations. Here, using UK BioBank samples, Gibran Hemani and colleagues discuss the potential for such studies to suffer from collider bias, and provide suggestions for optimising stud...

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Bibliographic Details
Main Authors: Gareth J. Griffith, Tim T. Morris, Matthew J. Tudball, Annie Herbert, Giulia Mancano, Lindsey Pike, Gemma C. Sharp, Jonathan Sterne, Tom M. Palmer, George Davey Smith, Kate Tilling, Luisa Zuccolo, Neil M. Davies, Gibran Hemani
Format: Article
Language:English
Published: Nature Portfolio 2020-11-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-020-19478-2

Internet

https://doi.org/10.1038/s41467-020-19478-2

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