Performance of the high-dimensional propensity score in adjusting for unmeasured confounders

PURPOSE: High-dimensional propensity scores (hdPS) can adjust for measured confounders, but it remains unclear how well it can adjust for unmeasured confounders. Our goal was to identify if the hdPS method could adjust for confounders which were hidden to the hdPS algorithm. METHOD: The hdPS algorit...

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Detalles Bibliográficos
Autores principales: Guertin, Jason R, Rahme, Elham, LeLorier, Jacques
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2016
Materias:
Pharmacoepidemiology and Prescription
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5110594/
https://www.ncbi.nlm.nih.gov/pubmed/27578249
http://dx.doi.org/10.1007/s00228-016-2118-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5110594/
https://www.ncbi.nlm.nih.gov/pubmed/27578249
http://dx.doi.org/10.1007/s00228-016-2118-x

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