Survival prediction from clinico-genomic models - a comparative study |
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Authors: | Hege M B?velstad St?le Nyg?rd ?rnulf Borgan |
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Affiliation: | (1) Department of Mathematics, University of Oslo, PO Box 1053, Blindern, NO-0316, Oslo, Norway;(2) Norwegian Computing Center, PO Box 114, Blindern, NO-0314, Oslo, Norway |
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Abstract: | Background Survival prediction from high-dimensional genomic data is an active field in today's medical research. Most of the proposed prediction methods make use of genomic data alone without considering established clinical covariates that often are available and known to have predictive value. Recent studies suggest that combining clinical and genomic information may improve predictions, but there is a lack of systematic studies on the topic. Also, for the widely used Cox regression model, it is not obvious how to handle such combined models. |
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