Lq-based robust analytics on ultrahigh and high dimensional data.

Chen, Jiachen; Bie, Ruofan; Qin, Yichen; Li, Yang; Ma, Shuangge

Chen, Jiachen; Bie, Ruofan; Qin, Yichen; Li, Yang; Ma, Shuangge.

Afiliación

Chen J; Department of Biostatistics, Boston University, Boston, MA, USA.
Bie R; Department of Biostatistics, Brown University, Providence, RI, USA.
Qin Y; Department of Operations, Business Analytics and Information Systems, University of Cincinnati, Cincinnati, OH, USA.
Li Y; Center for Applied Statistics and School of Statistics, Renmin University of China, Beijing, China.
Ma S; RSS and China-Re Life Joint Lab on Public Health and Risk Management, Renmin University of China, Beijing, China.

Stat Med ; 41(26): 5220-5241, 2022 11 20.

Article en En | MEDLINE | ID: mdl-36098057

Asunto(s)

Melanoma; Neoplasias Cutáneas; Humanos; Análisis de Regresión; Probabilidad; Melanoma Cutáneo Maligno

Palabras clave

Lq entropy; SKCM; contamination; screening; variable selection

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias Cutáneas / Melanoma Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Stat Med Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

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