Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression
2015 · International Journal of Epidemiology · 10K citations
https://doi.org/10.1093/ije/dyv080
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Stephen Burgess
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Stephen Burgess is an academic researcher from University of Cambridge. The author has contributed to research in topics: Genetic Associations and Epidemiology & Genetic and phenotypic traits in livestock & Advanced Causal Inference Techniques. The author has an h-index of 120, co-authored 671 publications.
ORCID: 0000-0001-5365-8760Papers by this author
worksConsistent Estimation in Mendelian Randomization with Some Invalid Instruments Using a Weighted Median Estimator
2016 · Genetic Epidemiology · 9,387 citations
https://doi.org/10.1002/gepi.21965
The MR-Base platform supports systematic causal inference across the human phenome
2018 · eLife · 8,152 citations
https://doi.org/10.7554/elife.34408
Mendelian Randomization Analysis With Multiple Genetic Variants Using Summarized Data
2013 · Genetic Epidemiology · 6,259 citations
https://doi.org/10.1002/gepi.21758
Interpreting findings from Mendelian randomization using the MR-Egger method
2017 · European Journal of Epidemiology · 4,638 citations
https://doi.org/10.1007/s10654-017-0255-x
MendelianRandomization: an R package for performing Mendelian randomization analyses using summarized data
2017 · International Journal of Epidemiology · 2,194 citations
https://doi.org/10.1093/ije/dyx034
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