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Unmeasured Confounding for General Outcomes, Treatments, and Confounders: Bias Formulas for Sensitivity Analysis
Uncontrolled confounding in observational studies gives rise to biased effect estimates. Sensitivity analysis techniques can be useful in assessing the magnitude of these biases. In this paper, we use the potential outcomes framework to derive a general class of sensitivity-analysis formulas for out...
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| Main Authors: | , |
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| Format: | Artigo |
| Language: | Inglês |
| Published: |
2011
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| Subjects: | |
| Online Access: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3073860/ https://ncbi.nlm.nih.gov/pubmed/21052008 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1097/EDE.0b013e3181f74493 |
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