Doubly robust evaluation of high-dimensional surrogate markers.

Agniel, Denis; Hejblum, Boris P; Thiébaut, Rodolphe; Parast, Layla

Agniel, Denis; Hejblum, Boris P; Thiébaut, Rodolphe; Parast, Layla.

Afiliación

Agniel D; RAND Corporation, 1776 Main St. Santa Monica, CA, 90401, USA.
Hejblum BP; Univ. Bordeaux, INSERM, INRIA, BPH, U1219, SISTM, F-33000 Bordeaux, France and Vaccine Research Institute, F-94000 Créteil, France.
Thiébaut R; Univ. Bordeaux, INSERM, INRIA, BPH, U1219, SISTM, F-33000 Bordeaux, France, CHU de Bordeaux, Service d'Information médicale, F-33000 Bordeaux, France and Vaccine Research Institute, F-94000 Créteil, France.
Parast L; University of Texas at Austin, Department of Statistics and Data Sciences, 3925 West Braker Lane, Austin, TX 78759, USA.

Biostatistics ; 24(4): 985-999, 2023 10 18.

Article en En | MEDLINE | ID: mdl-35791753

Asunto(s)

Modelos Estadísticos; Humanos; Biomarcadores; Causalidad; Simulación por Computador

Palabras clave

Average treatment effect estimation; High-dimensional data; Surrogate marker evaluation

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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Modelos Estadísticos Tipo de estudio: Clinical_trials / Observational_studies Idioma: En Revista: Biostatistics Año: 2023 Tipo del documento: Article

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