Allowing for mandatory covariates in boosting estimation of sparse high-dimensional survival models
Open Access
- 10 January 2008
- journal article
- research article
- Published by Springer Nature in BMC Bioinformatics
- Vol. 9 (1) , 14
- https://doi.org/10.1186/1471-2105-9-14
Abstract
When predictive survival models are built from high-dimensional data, there are often additional covariates, such as clinical scores, that by all means have to be included into the final model. While there are several techniques for the fitting of sparse high-dimensional survival models by penalized parameter estimation, none allows for explicit consideration of such mandatory covariates.Keywords
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