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Sensitivity analysis for unmeasured confounding in principal stratification settings with binary variables
Within causal inference, principal stratification (PS) is a popular approach for dealing with intermediate variables, that is, variables affected by treatment that also potentially affect the response. However, when there exists unmeasured confounding in the treatment arms—as can happen in observati...
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| Publicado no: | Stat Med |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2012
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5053106/ https://ncbi.nlm.nih.gov/pubmed/22362635 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.4472 |
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