Propensity Score Analysis with Partially Observed Baseline Covariates: A Practical Comparison of Methods for Handling Missing Data

(1) Background: Propensity score methods gained popularity in non-interventional clinical studies. As it may often occur in observational datasets, some values in baseline covariates are missing for some patients. The present study aims to compare the performances of popular statistical methods to d...

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Detalles Bibliográficos
Autores principales: Bottigliengo, Daniele, Lorenzoni, Giulia, Ocagli, Honoria, Martinato, Matteo, Berchialla, Paola, Gregori, Dario
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8293809/
https://www.ncbi.nlm.nih.gov/pubmed/34206234
http://dx.doi.org/10.3390/ijerph18136694

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8293809/
https://www.ncbi.nlm.nih.gov/pubmed/34206234
http://dx.doi.org/10.3390/ijerph18136694

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