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|Title:||Multicategory reclassification statistics for assessing improvements in diagnostic accuracy||Authors:||Li, J.
|Keywords:||Area under the ROC curve
Integrated discrimination improvement
Multinomial logistic regression
Net reclassification improvement
|Issue Date:||Apr-2013||Citation:||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|
|Appears in Collections:||Staff Publications|
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