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Genetic instrumental variable regression: Explaining socioeconomic and health outcomes in nonexperimental data
Identifying causal effects in nonexperimental data is an enduring challenge. One proposed solution that recently gained popularity is the idea to use genes as instrumental variables [i.e., Mendelian randomization (MR)]. However, this approach is problematic because many variables of interest are gen...
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| Publicado no: | Proc Natl Acad Sci U S A |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
National Academy of Sciences
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5984483/ https://ncbi.nlm.nih.gov/pubmed/29686100 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1707388115 |
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