KattanMWGerdsTA.Comparison of two ordinal prediction models: a cancer staging system example. Clin Trials2015; 12: 342–347.
2.
CookNR.Use and misuse of the receiver operating characteristic curve in risk prediction. Circulation2007; 115: 928–935.
3.
PencinaMJD’AgostinoRBSrD’AgostinoRBJret al. Evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond. Stat Med2008; 27: 157–172; discussion 207–212.
4.
KerrKFWangZJanesHet al. Net reclassification indices for evaluating risk prediction instruments: a critical review. Epidemiology2014; 25: 114–121.
5.
PepeMS.Problems with risk reclassification methods for evaluating prediction models. Am J Epidemiol2011; 173: 1327–1335.
6.
HildenJ.Commentary: on NRI, IDI, and “good-looking” statistics with nothing underneath. Epidemiology2014; 25: 265–267.
7.
PepeMJanesH. Methods for evaluating prediction performance of biomarkers and tests. In: LeeM-LTGailMPfeifferRet al. (eds) Risk assessment and evaluation of predictions. Silver Spring, MD: Springer Science+Business Media LLC, 2013, pp. 107–142.