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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...
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| Publié dans: | Eur J Clin Pharmacol |
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| Auteurs principaux: | , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Springer Berlin Heidelberg
2016
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5110594/ https://ncbi.nlm.nih.gov/pubmed/27578249 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s00228-016-2118-x |
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