survcomp: an R/Bioconductor package for performance assessment and comparison of survival models - PubMed (original) (raw)
survcomp: an R/Bioconductor package for performance assessment and comparison of survival models
Markus S Schröder et al. Bioinformatics. 2011.
Abstract
The survcomp package provides functions to assess and statistically compare the performance of survival/risk prediction models. It implements state-of-the-art statistics to (i) measure the performance of risk prediction models; (ii) combine these statistical estimates from multiple datasets using a meta-analytical framework; and (iii) statistically compare the performance of competitive models.
Figures
Fig. 1.
Forestplots representing the prognostic value of (a) NPI, (b) AURKA, (c) GGI and (d) GENIUS estimated by the concordance index in five independent breast cancer datasets [none of these datasets were used to train the classifiers (a)–(c), duplicated patients were removed what results in a combined dataset of 722 patients]. The blue square and horizontal line represent the concordance index and its 95% confidence interval which is clipped at 0.4 and 0.9 (represented by an arrow). The black rhombus is the overall meta-estimate from the combined five datasets. The greater the concordance index, the more prognostic the risk prediction model. The vertical red bar represents the concordance index of random risk predictions.
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