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A ROBUST AND EFFICIENT APPROACH TO CAUSAL INFERENCE BASED ON SPARSE SUFFICIENT DIMENSION REDUCTION

A fundamental assumption used in causal inference with observational data is that treatment assignment is ignorable given measured confounding variables. This assumption of no missing confounders is plausible if a large number of baseline covariates are included in the analysis, as we often have no...

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Detalhes bibliográficos
Publicado no:Ann Stat
Main Authors: MA, SHUJIE, ZHU, LIPING, ZHANG, ZHIWEI, TSAI, CHIH-LING, CARROLL, RAYMOND J.
Formato: Artigo
Idioma:Inglês
Publicado em: 2019
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Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6588012/
https://ncbi.nlm.nih.gov/pubmed/31231143
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1214/18-AOS1722
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