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On inverse probability-weighted estimators in the presence of interference

We consider inference about the causal effect of a treatment or exposure in the presence of interference, i.e., when one individual’s treatment affects the outcome of another individual. In the observational setting where the treatment assignment mechanism is not known, inverse probability-weighted...

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Detalles Bibliográficos
Autores principales:	Liu, L., Hudgens, M. G., Becker-Dreps, S.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Oxford University Press 2016
Materias:	Articles
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5793685/ https://www.ncbi.nlm.nih.gov/pubmed/29422692 http://dx.doi.org/10.1093/biomet/asw047

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