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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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Detalhes bibliográficos
Publicado no:Am J Epidemiol
Main Authors: Rudolph, Kara E, Stuart, Elizabeth A
Formato: Artigo
Idioma:Inglês
Publicado em: Oxford University Press 2018
Assuntos:
Acesso em linha: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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