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Estimating Average Treatment Effects with a Double-Index Propensity Score

We consider estimating average treatment effects (ATE) of a binary treatment in observational data when data-driven variable selection is needed to select relevant covariates from a moderately large number of available covariates X. To leverage covariates among X predictive of the outcome for effici...

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Detalhes bibliográficos
Publicado no:Biometrics
Main Authors: Cheng, David, Chakrabortty, Abhishek, Ananthakrishnan, Ashwin N., Cai, Tianxi
Formato: Artigo
Idioma:Inglês
Publicado em: 2019
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7370895/
https://ncbi.nlm.nih.gov/pubmed/31797368
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/biom.13195
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