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Recursive partitioning for heterogeneous causal effects
In this paper we propose methods for estimating heterogeneity in causal effects in experimental and observational studies and for conducting hypothesis tests about the magnitude of differences in treatment effects across subsets of the population. We provide a data-driven approach to partition the d...
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| Publicado no: | Proc Natl Acad Sci U S A |
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| 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/PMC4941430/ https://ncbi.nlm.nih.gov/pubmed/27382149 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1510489113 |
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