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Variable Selection in the Cox Regression Model with Covariates Missing at Random
We consider variable selection in the Cox regression model (Cox, 1975, Biometrika 362, 269–276) with covariates missing at random. We investigate the smoothly clipped absolute deviation penalty and adaptive least absolute shrinkage and selection operator (LASSO) penalty, and propose a unified model...
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| Main Authors: | , , |
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| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
2009
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| Teme: | |
| Online dostop: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3303197/ https://ncbi.nlm.nih.gov/pubmed/19459831 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/j.1541-0420.2009.01274.x |
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