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Joint sufficient dimension reduction and estimation of conditional and average treatment effects
The estimation of treatment effects based on observational data usually involves multiple confounders, and dimension reduction is often desirable and sometimes inevitable. We first clarify the definition of a central subspace that is relevant for the efficient estimation of average treatment effects...
Autores principales: | Huang, Ming-Yueh, Chan, Kwun Chuen Gary |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5793490/ https://www.ncbi.nlm.nih.gov/pubmed/29430034 http://dx.doi.org/10.1093/biomet/asx028 |
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