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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...
में बचाया:
| में प्रकाशित: | Eur J Clin Pharmacol |
|---|---|
| मुख्य लेखकों: | , , |
| स्वरूप: | Artigo |
| भाषा: | Inglês |
| प्रकाशित: |
Springer Berlin Heidelberg
2016
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| विषय: | |
| ऑनलाइन पहुंच: | 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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