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 i...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | Journal of applied statistics. - 1991. - 46(2019), 12 vom: 01., Seite 2216-2236
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| 1. Verfasser: |
Ju, Cheng
(VerfasserIn) |
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| Weitere Verfasser: |
Combs, Mary,
Lendle, Samuel D,
Franklin, Jessica M,
Wyss, Richard,
Schneeweiss, Sebastian,
van der Laan, Mark J |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2019
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| Zugriff auf das übergeordnete Werk: | Journal of applied statistics
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| Schlagworte: | Journal Article
Electronic Healthcare Database
Ensemble Learning
Machine Learning
Observational Study
Propensity Score |
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