Robust identification of gene-environment interactions for prognosis using a quantile partial correlation approach.

Xu, Yaqing; Wu, Mengyun; Zhang, Qingzhao; Ma, Shuangge

Xu, Yaqing; Wu, Mengyun; Zhang, Qingzhao; Ma, Shuangge.

Afiliación

Xu Y; Department of Biostatistics, Yale University, United States.
Wu M; School of Statistics and Management, Shanghai University of Finance and Economics, China; Department of Biostatistics, Yale University, United States.
Zhang Q; School of Economics and Wang Yanan Institute for Studies in Economics, Xiamen University, China.
Ma S; Department of Biostatistics, Yale University, United States. Electronic address: shuangge.ma@yale.edu.

Genomics ; 111(5): 1115-1123, 2019 09.

Article en En | MEDLINE | ID: mdl-30009922

Asunto(s)

Interacción Gen-Ambiente; Neoplasias Pulmonares/genética; Melanoma/genética; Modelos Genéticos; Simulación por Computador; Humanos; Neoplasias Pulmonares/patología; Melanoma/patología; Pronóstico

Palabras clave

Censored quantile partial correlation; Prognosis; Robust G-E interaction

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Interacción Gen-Ambiente / Neoplasias Pulmonares / Melanoma / Modelos Genéticos Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Genomics Asunto de la revista: GENETICA Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google