Overlapping-sample Mendelian randomisation with multiple exposures: a Bayesian approach

Overlapping-sample Mendelian randomisation with multiple exposures: a Bayesian approach

Abstract Background Mendelian randomization (MR) has been widely applied to causal inference in medical research. It uses genetic variants as instrumental variables (IVs) to investigate putative causal relationship between an exposure and an outcome. Traditional MR methods have mainly focussed on a...

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Bibliographic Details
Main Authors: Linyi Zou, Hui Guo, Carlo Berzuini
Format: Article
Language:English
Published: BMC 2020-12-01
Series:BMC Medical Research Methodology
Subjects:
Mendelian randomization
Bayesian approach
Missing data
Overlapping-sample
Multiple exposures
Online Access:https://doi.org/10.1186/s12874-020-01170-0

Internet

https://doi.org/10.1186/s12874-020-01170-0

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