Net Reclassification Improvement and Integrated Discrimination Improvement

Net reclassification improvement and integrated discrimination improvement: new standards for evaluating the incremental value of stress imaging for risk assessment.

Comparison of Bayesian and Frequentist Methods in Estimating the Net Reclassification and Integrated Discrimination Improvement Indices for Evaluation of Prediction Models: Tehran Lipid and Glucose Study

Introduction: The Frequency-based method is commonly used to estimate the Net Reclassification Improvement (NRI)- and Integrated Discrimination Improvement (IDI) indices. These indices measure the magnitude of the performance of statistical models when a new biomarker is added. This method has poor performance in some cases, especially in small samples. In this study, the performance of two Bay...

Net Reclassification Index: a Misleading Measure of Prediction Improvement

Net reclassification improvement: computation, interpretation, and controversies: a literature review and clinician's guide.

The net reclassification improvement (NRI) is an increasingly popular measure for evaluating improvements in risk predictions. This article details a review of 67 publications in high-impact general clinical journals that considered the NRI. Incomplete reporting of NRI methods, incorrect calculation, and common misinterpretations were found. To aid improved applications of the NRI, the article ...

Extensions of net reclassification improvement calculations to measure usefulness of new biomarkers.

Appropriate quantification of added usefulness offered by new markers included in risk prediction algorithms is a problem of active research and debate. Standard methods, including statistical significance and c statistic are useful but not sufficient. Net reclassification improvement (NRI) offers a simple intuitive way of quantifying improvement offered by new markers and has been gaining popu...