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Ensemble learning of inverse probability weights for marginal structural modeling in large observational datasets
Inverse probability weights used to fit marginal structural models are typically estimated using logistic regression. However a data-adaptive procedure may be able to better exploit information available in measured covariates. By combining predictions from multiple algorithms, ensemble learning off...
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| Publicado no: | Stat Med |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2014
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4262745/ https://ncbi.nlm.nih.gov/pubmed/25316152 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.6322 |
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