The influence of measurement error on calibration, discrimination, and overall estimation of a risk prediction model.

Background: Self-reported height and weight are commonly collected at the population level; however, they can be subject to measurement error. The impact of this error on predicted risk, discrimination, and calibration of a model that uses body mass index (BMI) to predict risk of diabetes incidence...

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Bibliographic Details

Published in:	Population Health Metrics Vol. 10; pp. 20 - 31
Main Authors:	Rosella, Laura C., Corey, Paul, Stukel, Therese A., Mustard, Cam, Hux, Jan, Manuel, Doug G.
Format:	equations & formulas research tables/charts Journal Article
Published:	BioMed Central 2012
Online Access:	View this record in EBSCOhost