Principled sure independence screening for Cox models with ultra-high-dimensional covariates

Sihai Dave Zhao; Yi Li

doi:10.1016/j.jmva.2011.08.002

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Principled sure independence screening for Cox models with ultra-high-dimensional covariates

Sihai Dave Zhao Yi Li

Year: 2011 Journal: Journal of Multivariate Analysis Vol: 105 (1)Pages: 397-411 Publisher: Elsevier BV

DOI: 10.1016/j.jmva.2011.08.002

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Keywords:

Covariate Mathematics Feature selection Independence (probability theory) Curse of dimensionality Proportional hazards model Accelerated failure time model Multiple myeloma Econometrics Statistics Data mining Machine learning Computer science Medicine

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Statistical Methods in Clinical Trials

Physical Sciences → Mathematics → Statistics and Probability

Statistical Methods and Inference

Physical Sciences → Mathematics → Statistics and Probability

Optimal Experimental Design Methods

Social Sciences → Decision Sciences → Management Science and Operations Research

Principled sure independence screening for Cox models with ultra-high-dimensional covariates

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