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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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| Izdano u: | Stat Med |
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| Glavni autori: | , , |
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
2012
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| Teme: | |
| Online pristup: | 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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