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Sensitivity Analysis Without Assumptions
Unmeasured confounding may undermine the validity of causal inference with observational studies. Sensitivity analysis provides an attractive way to partially circumvent this issue by assessing the potential influence of unmeasured confounding on causal conclusions. However, previous sensitivity ana...
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| Publicado no: | Epidemiology |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Lippincott Williams & Wilkins
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4820664/ https://ncbi.nlm.nih.gov/pubmed/26841057 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1097/EDE.0000000000000457 |
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