Metalearners for estimating heterogeneous treatment effects using machine learning.

Künzel, Sören R; Sekhon, Jasjeet S; Bickel, Peter J; Yu, Bin

Künzel, Sören R; Sekhon, Jasjeet S; Bickel, Peter J; Yu, Bin.

Afiliación

Künzel SR; Department of Statistics, University of California, Berkeley, CA 94720; srk@berkeley.edu binyu@stat.berkeley.edu.
Sekhon JS; Department of Statistics, University of California, Berkeley, CA 94720.
Bickel PJ; Department of Political Science, University of California, Berkeley, CA 94720.
Yu B; Department of Statistics, University of California, Berkeley, CA 94720.

Proc Natl Acad Sci U S A ; 116(10): 4156-4165, 2019 03 05.

Article en En | MEDLINE | ID: mdl-30770453

Palabras clave

conditional average treatment effect; heterogeneous treatment effects; minimax optimality; observational studies; randomized controlled trials

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Observational_studies Idioma: En Revista: Proc Natl Acad Sci U S A Año: 2019 Tipo del documento: Article

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