A confidence ellipse for the Net Reclassification Improvement
- The Net Reclassification Improvement (NRI) has become a popular metric for evaluating improvement in disease prediction models through the past years. The concept is relatively straightforward but usage and interpretation has been different across studies. While no thresholds exist for evaluating the degree of improvement, many studies have relied solely on the significance of the NRI estimate. However, recent studies recommend that statistical testing with the NRI should be avoided. We propose using confidence ellipses around the estimated values of event and non-event NRIs which might provide the best measure of variability around the point estimates. Our developments are illustrated using practical examples from EPIC-Potsdam study.
| Author details: | Kristin MühlenbruchORCiD, Olga Kuxhaus, Michael J. Pencina, Heiner BoeingORCiDGND, Hannelore Liero, Matthias Bernd SchulzeORCiDGND |
|---|---|
| DOI: | https://doi.org/10.1007/s10654-015-0001-1 |
| ISSN: | 0393-2990 |
| ISSN: | 1573-7284 |
| Pubmed ID: | https://pubmed.ncbi.nlm.nih.gov/25724473 |
| Title of parent work (English): | European journal of epidemiology |
| Publisher: | Springer |
| Place of publishing: | Dordrecht |
| Publication type: | Article |
| Language: | English |
| Year of first publication: | 2015 |
| Publication year: | 2015 |
| Release date: | 2017/03/27 |
| Tag: | Confidence intervals; Model comparison; Reclassification; Risk assessment; Risk model |
| Volume: | 30 |
| Issue: | 4 |
| Number of pages: | 6 |
| First page: | 299 |
| Last Page: | 304 |
| Funding institution: | German Federal Ministry of Education and Research (BMBF); German Center for Diabetes Research (DZD e.V.); Federal Ministry of Science, Germany [01 EA 9401]; European Union [SOC 95201408 05F02]; German Cancer Aid [70-2488-Ha I]; European Community [SOC 98200769 05F02] |
| Organizational units: | Mathematisch-Naturwissenschaftliche Fakultät / Institut für Mathematik |
| Peer review: | Referiert |
| External remark: | Zweitveröffentlichung in der Schriftenreihe Postprints der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe ; 825 |
