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Lasso adjustments of treatment effect estimates in randomized experiments
We provide a principled way for investigators to analyze randomized experiments when the number of covariates is large. Investigators often use linear multivariate regression to analyze randomized experiments instead of simply reporting the difference of means between treatment and control groups. T...
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| Publicado no: | Proc Natl Acad Sci U S A |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
National Academy of Sciences
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4941428/ https://ncbi.nlm.nih.gov/pubmed/27382153 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1510506113 |
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