Extensions of net reclassification improvement calculations to measure usefulness of new biomarkers
Boston University · Massachusetts Institute for a New Commonwealth · +4 more institutions
Abstract
Appropriate quantification of added usefulness offered by new markers included in risk prediction algorithms is a problem of active research and debate. Standard methods, including statistical significance and c statistic are useful but not sufficient. Net reclassification improvement (NRI) offers a simple intuitive way of quantifying improvement offered by new markers and has been gaining popularity among researchers. However, several aspects of the NRI have not been studied in sufficient detail. In this paper we propose a prospective formulation for the NRI which offers immediate application to survival and competing risk data as well as allows for easy weighting with observed or perceived costs. We address…
Citation impact
- FWCI
- 423.36
- Percentile
- 100%
- References
- 31
Authors
3Topics & keywords
- Computer science
- Statistic
- Weighting
- Contrast (vision)
- Data mining
- Statistics
- Risk analysis (engineering)
- Data science