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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Berlin Heidelberg
2016
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| Materias: | |
| 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 |