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Forward regression for Cox models with high-dimensional covariates

Forward regression, a classical variable screening method, has been widely used for model building when the number of covariates is relatively low. However, forward regression is seldom used in high-dimensional settings because of the cumbersome computation and unknown theoretical properties. Some r...

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Shranjeno v:
Bibliografske podrobnosti
izdano v:J Multivar Anal
Main Authors: Hong, Hyokyoung G., Zheng, Qi, Li, Yi
Format: Artigo
Jezik:Inglês
Izdano: 2019
Teme:
Online dostop:https://ncbi.nlm.nih.gov/pmc/articles/PMC6469712/
https://ncbi.nlm.nih.gov/pubmed/31007300
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jmva.2019.02.011
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