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Doubly Robust Estimation of Causal Effects
Doubly robust estimation combines a form of outcome regression with a model for the exposure (i.e., the propensity score) to estimate the causal effect of an exposure on an outcome. When used individually to estimate a causal effect, both outcome regression and propensity score methods are unbiased...
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| Autors principals: | , , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Oxford University Press
2011
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3070495/ https://ncbi.nlm.nih.gov/pubmed/21385832 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/aje/kwq439 |
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