A LASSO Method to Identify Protein Signature Predicting Post-transplant Renal Graft Survival.

Zhou, Ling; Tang, Lu; Song, Angela T; Cibrik, Diane M; Song, Peter X-K

Zhou, Ling; Tang, Lu; Song, Angela T; Cibrik, Diane M; Song, Peter X-K.

Afiliação

Zhou L; Department of Biostatistics, University of Michigan, Ann Arbor, MI 48109, USA, zholing@umich.edu.
Tang L; Department of Biostatistics, University of Michigan, Ann Arbor, MI 48109, USAW, lutang@umich.edu.
Song AT; College of Literature, Science, and the Arts, University of Michigan, Ann Arbor, MI 48109, USA, atsong@umich.edu.
Cibrik DM; Department of Internal Medicine, University of Michigan, Ann Arbor, MI 48109, USA, dcibrik@umich.edu.
Song PX; Department of Biostatistics, University of Michigan, Ann Arbor, MI 48109, USA, pxsong@umich.edu.

Stat Biosci ; 9(2): 431-452, 2017 Dec.

Article em En | MEDLINE | ID: mdl-29399205

Palavras-chave

L1-penalty; Post-selection inference; Regularized estimation; Renal allograft loss; Survival analysis

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2017 Tipo de documento: Article

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