A flexible joint model for multiple longitudinal biomarkers and a time-to-event outcome: With applications to dynamic prediction using highly correlated biomarkers.

Li, Ning; Liu, Yi; Li, Shanpeng; Elashoff, Robert M; Li, Gang

Li, Ning; Liu, Yi; Li, Shanpeng; Elashoff, Robert M; Li, Gang.

Afiliação

Li N; Departments of Medicine and Biomathematics, University of California at Los Angeles, Los Angeles, CA, USA.
Liu Y; School of Mathematical Sciences, Ocean University of China, Qingdao, P. R. China.
Li S; Department of Biostatistics, University of California at Los Angeles, Los Angeles, CA, USA.
Elashoff RM; Department of Biomathematics, University of California at Los Angeles, Los Angeles, CA, USA.
Li G; Department of Biostatistics, University of California at Los Angeles, Los Angeles, CA, USA.

Biom J ; 63(8): 1575-1586, 2021 12.

Article em En | MEDLINE | ID: mdl-34272887

Assuntos

Algoritmos; Modelos Estatísticos; Biomarcadores; Humanos; Estudos Longitudinais; Modelos de Riscos Proporcionais

Palavras-chave

censoring; dynamic prediction; joint model; longitudinal data; reduced rank functional principle component model

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

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