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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.

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Author:Kristin Mühlenbruch, Olga Kuxhaus, Michael J. Pencina, Heiner Boeing, Hannelore Liero, Matthias Bernd SchulzeORCiDGND
ISSN:0393-2990 (print)
ISSN:1573-7284 (online)
Pubmed Id:http://www.ncbi.nlm.nih.gov/pubmed?term=25724473
Parent Title (English):European journal of epidemiology
Place of publication:Dordrecht
Document Type:Article
Year of first Publication:2015
Year of Completion:2015
Release Date:2017/03/27
Tag:Confidence intervals; Model comparison; Reclassification; Risk assessment; Risk model
First Page:299
Last Page:304
Funder: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