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Using Sensitivity Analyses for Unobserved Confounding to Address Covariate Measurement Error in Propensity Score Methods
Propensity score methods are a popular tool with which to control for confounding in observational data, but their bias-reduction properties—as well as internal validity, generally—are threatened by covariate measurement error. There are few easy-to-implement methods of correcting for such bias. In...
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| Pubblicato in: | Am J Epidemiol |
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| Autori principali: | , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Oxford University Press
2018
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5860046/ https://ncbi.nlm.nih.gov/pubmed/28992211 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/aje/kwx248 |
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