Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach.
By Elizabeth R. DeLong, David M. DeLong, D. Clarke‐Pearson. 1988
Subfields: Statistics and Probability, Evaluation & Benchmarks
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In Statistics and Probability
- F. Nahm
- Constantin F. Aliferis
- Carl Sabottke
- B. Spieler
- Alexander R. Statnikov
- Peter C. Austin
- J. Tu
- Ralph B. D’Agostino
In Evaluation & Benchmarks
- Andriy Kryshtafovych
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Citations in the corpus
- A case-based interpretable deep learning model for classification of mass lesions in digital mammography (2021, methodology): “95% confidence intervals were derived using Delong’s method [13, 49].”
- All Models are Wrong, but Many are Useful: Learning a Variable’s Importance by Studying an Entire Class of Prediction Models Simultaneously (2018, background): “…under fairly minor conditions, these estimators are unbiased, asymptotically normal, and have finite-sample probabilistic bounds (Hoeffding, 1948, 1963; Serfling, 1980; see also DeLong et al., 1988 for an early use of U-statistics in machine learning, as well as caveats in Demler et al., 2012).”
- Combined screening with ultrasound and mammography vs mammography alone in women at elevated risk of breast cancer. (2008, unknown): “Age at enrollment, yb Median (range) 55 (25-91) 55 (25-91)”
- Statistical shape modeling of the left ventricle: myocardial infarct classification challenge (2017, methodology): “Statistical tests between methods were performed by using one-sided paired non-parametric test for AUC values [55], implemented in the pROC package [56].”
- The HCR‐20 in personality disordered female offenders: a comparison with a matched sample of males (2005, methodology): “To compare the obtained AUC values for men and women, we used ACCUROC Version 2.5 (Vida, 1997) that applies the non-parametric method as described by DeLong, DeLong, and Clarke-Pearson (1988).”
- Quantitative Assessment of Structural Image Quality (2017, methodology): “At each step, in order to determine whether an additional model parameter provided significantly improved classification, we calculated the Delong statistic, which tests for a significant increase in AUC between models (DeLong et al., 1988).”
- Parental history of myopia, sports and outdoor activities, and future myopia. (2007, methodology): “y), which equates to the Mann-Whitney version of the two-sample rank-sum statistic of Wilcoxon.(28,29) The area under the curve is”
- Audience selection for on-line brand advertising: privacy-friendly social network targeting (2009, methodology): “These results show 6 All statistical significance results for AUCs are computed using the procedure described by [10], which is the procedure implemented by the commercial statistical packages SAS and Stata.”
- Local Causal and Markov Blanket Induction for Causal Discovery and Feature Selection for Classification Part I: Algorithms and Empirical Evaluation (2010, methodology): “When statistical comparison was performed inside a wrapper, we used a non-parametric method by DeLong et al. (1988). The only exception is Random Forest-based Variable Selection (RFVS), where we used a method recommended by its authors (Diaz-Uriarte and Alvarez de Andres, 2006).”
- Prediction of In-hospital Mortality in Emergency Department Patients With Sepsis: A Local Big Data-Driven, Machine Learning Approach. (2016, unknown): “41 A p-value of 0.05 was considered statistically significant.”