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.
Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Arthur-Scheunert-Allee 114-116, 14558, Nuthetal, Germany, Kristin.Muehlenbruch@dife.de.
Kristin
K
Mühlenbruch
Olga
O
Kuxhaus
Michael J
MJ
Pencina
Heiner
H
Boeing
Hannelore
H
Liero
Matthias B
MB
Schulze
D000368:Aged; D002908:Chronic Disease / Q000145:classification* / Q000453:epidemiology*; D016001:Confidence Intervals; D003627:Data Interpretation, Statistical; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D015233:Models, Statistical; D011237:Predictive Value of Tests; D018570:Risk Assessment / Q000145:classification* / Q000379:methods; D012307:Risk Factors