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

    May 2020
    Gareth J Griffith, Tim Morris, Matt J Tudball … Gibran Hemani
    Studysummary This article reviews challenges in interpreting observational COVID-19 data due to biases from non-random sampling, discussing strategies to address these biases but reporting no new results.
    Automatically generated from the study's abstract, not written by a person, and not a review of the full paper. Not medical advice or a treatment recommendation. Read the original study, and consult a qualified healthcare professional before changing treatment. Full disclaimer
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