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Instrumental variable analysis in the presence of unmeasured confounding
Observational studies are prone to bias due to confounding either measured or unmeasured. While measured confounding can be controlled for with a variety of sophisticated methods such as propensity score-based matching, stratification and multivariable regression model, the unmeasured confounding is...
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| 發表在: | Ann Transl Med |
|---|---|
| Main Authors: | , , , |
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
AME Publishing Company
2018
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| 主題: | |
| 在線閱讀: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5994515/ https://ncbi.nlm.nih.gov/pubmed/29951504 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.21037/atm.2018.03.37 |
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