Collider Bias Undermines Our Understanding of COVID-19 Disease Risk and Severity

    November 2020 in “ Nature Communications
    Gareth J Griffith, Tim Morris, Matthew Tudball, Annie Herbert, Giulia Mancano, Lindsey Pike, Gemma C. Sharp, Jonathan A C Sterne, Tom Palmer, George Davey Smith, Kate Tilling, Luisa Zuccolo, Neil M Davies, Gibran Hemani
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    Studysummary This review discusses the challenges of interpreting observational studies on COVID-19 due to biases from non-representative samples, such as collider bias, and suggests better sampling methods to mitigate these issues.
    Our plain-language summary. Not medical advice or a treatment recommendation. Consult a qualified healthcare professional before changing treatment. Full disclaimer
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