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Boosting the discriminatory power of sparse survival models via optimization of the concordance index and stability selection
BACKGROUND: When constructing new biomarker or gene signature scores for time-to-event outcomes, the underlying aims are to develop a discrimination model that helps to predict whether patients have a poor or good prognosis and to identify the most influential variables for this task. In practice, t...
Tallennettuna:
| Julkaisussa: | BMC Bioinformatics |
|---|---|
| Päätekijät: | , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
BioMed Central
2016
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4957316/ https://ncbi.nlm.nih.gov/pubmed/27444890 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-016-1149-8 |
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