Abstract
An adaption of Egger regression (which we call MR-Egger) can detect some violations of the standard instrumental variable assumptions, and provide an effect estimate which is not subject to these violations. The approach provides a sensitivity analysis for the robustness of the findings from a Mendelian randomization investigation.
Keywords
Mendelian randomizationRegressionStatisticsMeta-regressionRandomizationPublication biasEstimationEconometricsRegression analysisMedicineMathematicsMeta-analysisGeneticsBiologyClinical trialConfidence intervalEconomicsInternal medicineGeneGenetic variants
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Publication Info
- Year
- 2015
- Type
- article
- Volume
- 44
- Issue
- 2
- Pages
- 512-525
- Citations
- 9835
- Access
- Closed
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Cite This
Jack Bowden,
George Davey Smith,
Stephen Burgess
(2015).
Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression.
International Journal of Epidemiology
, 44
(2)
, 512-525.
https://doi.org/10.1093/ije/dyv080
Identifiers
- DOI
- 10.1093/ije/dyv080