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Outcome-adaptive lasso: variable selection for causal inference
Methodological advancements, including propensity score methods, have resulted in improved unbiased estimation of treatment effects from observational data. Traditionally, a “throw in the kitchen sink” approach has been used to select covariates for inclusion into the propensity score, but recent wo...
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| Veröffentlicht in: | Biometrics |
|---|---|
| Hauptverfasser: | , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2017
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5591052/ https://ncbi.nlm.nih.gov/pubmed/28273693 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/biom.12679 |
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