The spectre of Berkson's paradox: Collider bias in Covid‐19 research

Annie Herbert; Gareth Griffith; Gibran Hemani; Luisa Zuccolo

doi:10.1111/1740-9713.01413

The spectre of Berkson's paradox: Collider bias in Covid‐19 research

Annie Herbert, Gareth Griffith, Gibran Hemani, Luisa Zuccolo

Research output: Contribution to journal › Article (Academic Journal)

10 Citations (Scopus)

Abstract

When non-random sampling collides with our understanding of Covid-19 risk, we must be careful not to draw incorrect conclusions about cause and effect.

Original language	English
Pages (from-to)	6-7
Number of pages	2
Journal	Significance
Volume	17
Issue number	4
Early online date	29 Jul 2020
DOIs	https://doi.org/10.1111/1740-9713.01413
Publication status	Published - 1 Aug 2020

Research Groups and Themes

Covid19

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10.1111/1740-9713.01413

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Cite this

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title = "The spectre of Berkson's paradox: Collider bias in Covid‐19 research",

abstract = "When non-random sampling collides with our understanding of Covid-19 risk, we must be careful not to draw incorrect conclusions about cause and effect.",

author = "Annie Herbert and Gareth Griffith and Gibran Hemani and Luisa Zuccolo",

year = "2020",

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doi = "10.1111/1740-9713.01413",

language = "English",

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T2 - Collider bias in Covid‐19 research

AU - Herbert, Annie

AU - Griffith, Gareth

AU - Hemani, Gibran

AU - Zuccolo, Luisa

PY - 2020/8/1

Y1 - 2020/8/1

N2 - When non-random sampling collides with our understanding of Covid-19 risk, we must be careful not to draw incorrect conclusions about cause and effect.

AB - When non-random sampling collides with our understanding of Covid-19 risk, we must be careful not to draw incorrect conclusions about cause and effect.

U2 - 10.1111/1740-9713.01413

DO - 10.1111/1740-9713.01413

M3 - Article (Academic Journal)

C2 - 37250182

SN - 1740-9705

VL - 17

SP - 6

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JO - Significance

JF - Significance

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