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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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| Gepubliceerd in: | Proc Natl Acad Sci U S A |
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| Hoofdauteurs: | , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
National Academy of Sciences
2016
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| Onderwerpen: | |
| Online toegang: | 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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