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Propensity score prediction for electronic healthcare databases using Super Learner and High-dimensional Propensity Score Methods
The optimal learner for prediction modeling varies depending on the underlying data-generating distribution. Super Learner (SL) is a generic ensemble learning algorithm that uses cross-validation to select among a “library” of candidate prediction models. While SL has been widely studied in a number...
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| Veröffentlicht in: | J Appl Stat |
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| Hauptverfasser: | , , , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2019
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7444746/ https://ncbi.nlm.nih.gov/pubmed/32843815 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/02664763.2019.1582614 |
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