Partial least squares Cox regression for genome-wide data

DOI10.1007/s10985-007-9076-7zbMath1147.62080OpenAlexW2089591495WikidataQ31142534 ScholiaQ31142534MaRDI QIDQ953248

Ole Christian Lingjærde, Ørnulf Borgan, Ståle Nygård, Hege Leite Størvold

Publication date: 17 November 2008

Published in: Lifetime Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10985-007-9076-7

zbMATH Keywords

partial least squaresdimension reductionhigh-dimensional datagene expression dataIRLSgenomic covariatesiterative reweighted least squaressurvival prediction

Mathematics Subject Classification ID

Medical applications (general) (92C50) Estimation in survival analysis and censored data (62N02)

Related Items (5)

The additive hazards model with high-dimensional regressors ⋮ Envelopes and principal component regression ⋮ Assessment of evaluation criteria for survival prediction from genomic data ⋮ Covariate Selection for the Semiparametric Additive Risk Model ⋮ The Dantzig Selector in Cox's Proportional Hazards Model

Cites Work

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• An Extension of Cox's Regression Model
• On the structure of partial least squares regression
• Fitting Cox's Regression Model to Survival Data using GLIM
• Iteratively Reweighted Partial Least Squares Estimation for Generalized Linear Regression
• Prediction by Supervised Principal Components
• The elements of statistical learning. Data mining, inference, and prediction

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