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L1Penalized Estimation in the Cox Proportional Hazards Model
Biometrical Journal, 2010AbstractThis article presents a novel algorithm that efficiently computesL1penalized (lasso) estimates of parameters in high‐dimensional models. The lasso has the property that it simultaneously performs variable selection and shrinkage, which makes it very useful for finding interpretable prediction rules in high‐dimensional data. The new algorithm is
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Competing risk and the Cox proportional hazard model
Journal of Statistical Planning and Inference, 2006Roger M Cooke, Oswaldo Morales-Nápoles
exaly
An Assessment of the Cox Proportional Hazards Regression Model for Epidemiologic Studies
Risk Analysis, 2018Ellen T Chang
exaly