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Covariate selection with group lasso and doubly robust estimation of causal effects
The efficiency of doubly robust estimators of the average causal effect (ACE) of a treatment can be improved by including in the treatment and outcome models only those covariates which are related to both treatment and outcome (i.e., confounders) or related only to the outcome. However, it is often...
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| Publicado no: | Biometrics |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5740021/ https://ncbi.nlm.nih.gov/pubmed/28636276 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/biom.12736 |
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