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.

Metadaten
Author details:	Kristin Mühlenbruch ORCiD, Olga Kuxhaus, Michael J. Pencina, Heiner Boeing ORCiD GND, Hannelore Liero, Matthias Bernd Schulze ORCiD GND
URN:	urn:nbn:de:kobv:517-opus4-427371
DOI:	https://doi.org/10.25932/publishup-42737
ISSN:	1866-8372
Title of parent work (German):	Postprints der Universität Potsdam : Mathematisch Naturwissenschaftliche Reihe
Publication type:	Postprint
Language:	English
Date of first publication:	2020/02/27
Publication year:	2015
Publishing institution:	Universität Potsdam
Release date:	2020/02/27
Tag:	confidence intervals; model comparison; reclassification; risk assessment; risk model
Issue:	825
Number of pages:	8
First page:	299
Last Page:	304
Source:	European Journal of Epidemiology 30 (2015) 299–304 DOI:10.1007/s10654-015-0001-1
Organizational units:	Mathematisch-Naturwissenschaftliche Fakultät
DDC classification:	6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit
Peer review:	Referiert
Publishing method:	Open Access
License (German):	CC-BY - Namensnennung 4.0 International
External remark:	Bibliographieeintrag der Originalveröffentlichung/Quelle