ArticleStatistics in medicine2017
Net reclassification index at event rate: properties and relationships.
Article in Statistics in medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.
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Who cites it
57 citing papers in PubMed.
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- Lifetime Adverse Pregnancy Outcome History and Cardiovascular Risk.Hypertension (Dallas, Tex. : 1979) · 2026Article
- The diagnostic value of multiple schemes of MRI standard features combined with risk factors and ultrasound for Placenta accreta spectrum.BMC pregnancy and childbirth · 2026Article
- Abnormal myocardial perfusion reserve and myocardial infarction determine cardiovascular outcomes in type 2 diabetes mellitus.European heart journal. Cardiovascular Imaging · 2026Article
- Risk prediction for individual patients and the pitfalls of selecting an optimal prediction model: do not judge a model by its c-statistic.European journal of epidemiology · 2026Article
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- Validation of a Clinical and Polygenic Risk Prediction Model for Ovarian Cancer in the Nurses' Health Study.Cancer prevention research (Philadelphia, Pa.) · 2026Article
- Improving the Estimation of Prediction Increment Measures in Logistic and Survival Analysis.Cancers · 2025Article
- Improving the diagnostic performance for prior COVID-19 with T-SPOT, an interferon-gamma release assay.Frontiers in microbiology · 2025Article
- Adding biomarker change information to the kidney failure risk equation improves predictive ability for dialysis dependency in eGFR <30 ml/min/1.73 mClinical kidney journal · 2024Article
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- Combining PCT with CRP is better than separate testing for patients with bacteriuria in the intensive care unit: a retrospective study.European journal of medical research · 2024Article
- Carotid Intima-Media Thickness and Improved Stroke Risk Assessment in Hypertensive Black Adults.American journal of hypertension · 2024Article
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- Commentary: Serum EZH2 is a novel biomarker for bladder cancer diagnosis and prognosis.Frontiers in oncology · 2024Article
- Machine-learning predictions for acute kidney injuries after coronary artery bypass grafting: a real-life muticenter retrospective cohort study.BMC medical informatics and decision making · 2023Article
- Article
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3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The net reclassification improvement (NRI) is an attractively simple summary measure quantifying improvement in performance because of addition of new risk marker(s) to a prediction model. Originally proposed for settings with well-established classification thresholds, it quickly extended into applications with no thresholds in common use. Here we aim to explore properties of the NRI at event rate. We express this NRI as a difference in performance measures for the new versus old model and show that the quantity underlying this difference is related to several global as well as decision analytic measures of model performance. It maximizes the relative utility (standardized net benefit) across all classification thresholds and can be viewed as the Kolmogorov-Smirnov distance between the distributions of risk among events and non-events. It can be expressed as a special case of the continuous NRI, measuring reclassification from the 'null' model with no predictors. It is also a criterion based on the value of information and quantifies the reduction in expected regret for a given regret function, casting the NRI at event rate as a measure of incremental reduction in expected regret. More generally, we find it informative to present plots of standardized net benefit/relative utility for the new versus old model across the domain of classification thresholds. Then, these plots can be summarized with their maximum values, and the increment in model performance can be described by the NRI at event rate. We provide theoretical examples and a clinical application on the evaluation of prognostic biomarkers for atrial fibrillation. Copyright © 2016 John Wiley & Sons, Ltd.
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