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Machine learning for causal inference: on the use of cross-fit estimators
BACKGROUND: Modern causal inference methods allow machine learning to be used to weaken parametric modeling assumptions. However, the use of machine learning may result in complications for inference. Doubly robust cross-fit estimators have been proposed to yield better statistical properties. METHO...
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| Publicado no: | Epidemiology |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8012235/ https://ncbi.nlm.nih.gov/pubmed/33591058 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1097/EDE.0000000000001332 |
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