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High-dimensional regression adjustments in randomized experiments
We study the problem of treatment effect estimation in randomized experiments with high-dimensional covariate information and show that essentially any risk-consistent regression adjustment can be used to obtain efficient estimates of the average treatment effect. Our results considerably extend the...
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| Published in: | Proc Natl Acad Sci U S A |
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| Main Authors: | , , , |
| Format: | Artigo |
| Language: | Inglês |
| Published: |
National Academy of Sciences
2016
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| Subjects: | |
| Online Access: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5111650/ https://ncbi.nlm.nih.gov/pubmed/27791165 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1614732113 |
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