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Doubly regularized Cox regression for high-dimensional survival data with group structures

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Publication:897169
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DOI10.4310/SII.2013.V6.N2.A2zbMath1327.62423OpenAlexW2109635099MaRDI QIDQ897169

Tong Tong Wu, Sijian Wang

Publication date: 17 December 2015

Published in: Statistics and Its Interface (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.4310/sii.2013.v6.n2.a2


zbMATH Keywords

survival analysislassocoordinate descentgroup structuresgenetic pathways


Mathematics Subject Classification ID

Ridge regression; shrinkage estimators (Lasso) (62J07) Applications of statistics to biology and medical sciences; meta analysis (62P10) Censored data models (62N01) Reliability and life testing (62N05)


Related Items (4)

Optimal treatment regimes for competing risk data using doubly robust outcome weighted learning with bi-level variable selection ⋮ Screening group variables in the proportional hazards model ⋮ Group and within-group variable selection for competing risks data ⋮ Penalized Cox's proportional hazards model for high-dimensional survival data with grouped predictors


Uses Software

  • gss






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