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Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression
Background: The number of Mendelian randomization analyses including large numbers of genetic variants is rapidly increasing. This is due to the proliferation of genome-wide association studies, and the desire to obtain more precise estimates of causal effects. However, some genetic variants may not...
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| Pubblicato in: | Int J Epidemiol |
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| Autori principali: | , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Oxford University Press
2015
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4469799/ https://ncbi.nlm.nih.gov/pubmed/26050253 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/ije/dyv080 |
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