A comparison of different methods to handle missing data in the context of propensity score analysis

Propensity score analysis is a popular method to control for confounding in observational studies. A challenge in propensity methods is missing values in confounders. Several strategies for handling missing values exist, but guidance in choosing the best method is needed. In this simulation study, w...

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Detalles Bibliográficos
Autores principales: Choi, Jungyeon, Dekkers, Olaf M., le Cessie, Saskia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2018
Materias:
Methods
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6325992/
https://www.ncbi.nlm.nih.gov/pubmed/30341708
http://dx.doi.org/10.1007/s10654-018-0447-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6325992/
https://www.ncbi.nlm.nih.gov/pubmed/30341708
http://dx.doi.org/10.1007/s10654-018-0447-z

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