Boosting the concordance index for survival data--a unified framework to derive and evaluate biomarker combinations.

ABSTRACT: The development of molecular signatures for the prediction of time-to-event outcomes is a methodologically challenging task in bioinformatics and biostatistics. Although there are numerous approaches for the derivation of marker combinations and their evaluation, the underlying methodology often suffers from the problem that different optimization criteria are mixed during the feature selection, estimation and evaluation steps. This might result in marker combinations that are suboptimal regarding the evaluation criterion of interest. To address this issue, we propose a unified framework to derive and evaluate biomarker combinations. Our approach is based on the concordance index for time-to-event data, which is a non-parametric measure to quantify the discriminatory power of a prediction

SUBMITTER: Mayr A 

PROVIDER: S-EPMC3882229 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature