Please use this identifier to cite or link to this item: https://doi.org/10.1093/biostatistics/kxs047
Title: Multicategory reclassification statistics for assessing improvements in diagnostic accuracy
Authors: Li, J. 
Jiang, B.
Fine, J.P.
Keywords: Area under the ROC curve
Integrated discrimination improvement
Multicategory classification
Multinomial logistic regression
Net reclassification improvement
Issue Date: Apr-2013
Source: Li, J., Jiang, B., Fine, J.P. (2013-04). Multicategory reclassification statistics for assessing improvements in diagnostic accuracy. Biostatistics 14 (2) : 382-394. ScholarBank@NUS Repository. https://doi.org/10.1093/biostatistics/kxs047
Abstract: In this paper, we extend the definitions of the net reclassification improvement (NRI) and the integrated discrimination improvement (IDI) in the context of multicategory classification. Both measures were proposed in Pencina and others (2008. Evaluating the added predictive ability of a new marker: from area under the receiver operating characteristic (ROC) curve to reclassification and beyond. Statistics in Medicine 27, 157-172) as numeric characterizations of accuracy improvement for binary diagnostic tests and were shown to have certain advantage over analyses based on ROC curves or other regression approaches. Estimation and inference procedures for the multiclass NRI and IDI are provided in this paper along with necessary asymptotic distributional results. Simulations are conducted to study the finite-sample properties of the proposed estimators. Two medical examples are considered to illustrate our methodology. © The Author 2012. Published by Oxford University Press. All rights reserved.
Source Title: Biostatistics
URI: http://scholarbank.nus.edu.sg/handle/10635/105227
ISSN: 14654644
DOI: 10.1093/biostatistics/kxs047
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