Collider bias from selecting disease samples distorts causal inferences

Gibran Hemani*, Kate M Tilling, George Davey Smith

*Corresponding author for this work

Research output: Contribution to journalLetter (Academic Journal)peer-review

114 Downloads (Pure)

Abstract

[No abstract]
Original languageEnglish
Pages (from-to)213-215
Number of pages3
JournalGenetic Epidemiology
Volume46
Issue number3-4
Early online date7 Feb 2022
DOIs
Publication statusE-pub ahead of print - 7 Feb 2022

Bibliographical note

Funding Information:
Gibran Hemani is funded by the Wellcome Trust and Royal Society [208806/Z/17/Z]. Kate Tilling and George Davey Smith work in the Integrative Epidemiology Unit which receives funding from the U.K. Medical Research Council and the University of Bristol (MC_UU_00011/3 and MC_UU_00011/1).

Keywords

  • causal inference
  • Mendelian randomisation
  • sample selection

Fingerprint

Dive into the research topics of 'Collider bias from selecting disease samples distorts causal inferences'. Together they form a unique fingerprint.

Cite this