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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...

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Detalhes bibliográficos
Publicado no:Biometrika
Main Authors: Huang, Ming-Yueh, Chan, Kwun Chuen Gary
Formato: Artigo
Idioma:Inglês
Publicado em: Oxford University Press 2017
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC5793490/
https://ncbi.nlm.nih.gov/pubmed/29430034
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/biomet/asx028
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