Doubly Robust Learning for Estimating Individualized Treatment with Censored Data.

Zhao, Y Q; Zeng, D; Laber, E B; Song, R; Yuan, M; Kosorok, M R

Zhao, Y Q; Zeng, D; Laber, E B; Song, R; Yuan, M; Kosorok, M R.

Afiliación

Zhao YQ; Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, Wisconsin, 53792, U.S.A.
Zeng D; Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, 27599, U.S.A.
Laber EB; Department of Statistics, North Carolina State University, Raleigh, North Carolina, 27695, U.S.A.
Song R; Department of Statistics, North Carolina State University, Raleigh, North Carolina, 27695, U.S.A.
Yuan M; Department of Statistics, University of Wisconsin-Madison, Madison, Wisconsin, 53792, U.S.A.
Kosorok MR; Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, 27599, U.S.A.

Biometrika ; 102(1): 151-168, 2015 Mar 01.

Article en En | MEDLINE | ID: mdl-25937641

Palabras clave

Censored data; Doubly robust estimator; Individualized treatment rule; Risk bound; Support vector machine

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Biometrika Año: 2015 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido

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