Evaluating incremental values from new predictors with net reclassification improvement in survival analysis

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

Graphical procedures for evaluating overall and subject-specific incremental values from new predictors with censored event time data.

Quantitative procedures for evaluating added values from new markers over a conventional risk scoring system for predicting event rates at specific time points have been extensively studied. However, a single summary statistic, for example, the area under the receiver operating characteristic curve or its derivatives, may not provide a clear picture about the relationship between the convention...

Net risk reclassification p values: valid or misleading?

BACKGROUND The Net Reclassification Index (NRI) and its P value are used to make conclusions about improvements in prediction performance gained by adding a set of biomarkers to an existing risk prediction model. Although proposed only 5 years ago, the NRI has gained enormous traction in the risk prediction literature. Concerns have recently been raised about the statistical validity of the NRI...

Net Reclassification Index: a Misleading Measure of Prediction Improvement

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...