Corpus ID: 220280418

A robust approach for ROC curves with covariates

@article{Bianco2020ARA,
  title={A robust approach for ROC curves with covariates},
  author={Ana M. Bianco and Graciela Boente and Wenceslao Gonz{\'a}lez-Manteiga},
  journal={arXiv: Methodology},
  year={2020}
}
The Receiver Operating Characteristic (ROC) curve is a useful tool that measures the discriminating power of a continuous variable or the accuracy of a pharmaceutical or medical test to distinguish between two conditions or classes. In certain situations, the practitioner may be able to measure some covariates related to the diagnostic variable which can increase the discriminating power of the ROC curve. To protect against the existence of atypical data among the observations, a procedure to… Expand

References

SHOWING 1-10 OF 24 REFERENCES
ROC curve and covariates: extending induced methodology to the non-parametric framework
TLDR
The induced methodology is extended by allowing for arbitrary non-parametric effects of a continuous covariate effect not only on the mean, but also on the variance of the diagnostic test, which has proved useful for providing age-specific thresholds for anthropometric measures in the Galician community. Expand
Bayesian nonparametric ROC regression modeling
The receiver operating characteristic (ROC) curve is the most widely used measure for evaluating the discriminatory performance of a continuous biomarker. Incorporating covariates in the analysis canExpand
Semi-parametric ROC regression analysis with placement values.
  • T. Cai
  • Medicine, Mathematics
  • Biostatistics
  • 2004
TLDR
Simulation studies suggest that the new estimator under the semi-parametric model, while always being more robust, has efficiency that is comparable to or better than the Alonzo and Pepe (2002) estimator from the parametric model. Expand
ROC Curves in Non-Parametric Location-Scale Regression Models
The receiver operating characteristic (ROC) curve is a tool of extensive use to analyse the discrimination capability of a diagnostic variable in medical studies. In certain situations, the presenceExpand
Adjusting receiver operating characteristic curves and related indices for covariates
Summary. Continuous markers are often used to discriminate between diseased and healthy populations. In this context, the receiver operating characteristic (ROC) curve is a popular graphicalExpand
Distribution-free ROC analysis using binary regression techniques.
TLDR
A ROC model for which the ROC curve is a parametric function of covariates but distributions of the diagnostic test results are not specified is considered, which has fairly high statistical efficiency. Expand
Three approaches to regression analysis of receiver operating characteristic curves for continuous test results.
  • M. Pepe
  • Computer Science, Medicine
  • Biometrics
  • 1998
TLDR
This paper proposes and compares three very different regression analysis methods for Receiver operating characteristic (ROC) curves and elucidate the correspondence between regression parameters in the different models. Expand
A regression modelling framework for receiver operating characteristic curves in medical diagnostic testing
SUMMARY Receiver operating characteristic curves (ROC's) are used to evaluate diagnostic tests when test results are not binary. They describe the inherent capacity of the test for distinguishingExpand
A class of robust and fully efficient regression estimators
This paper introduces a new class of robust estimators for the linear regression model. They are weighted least squares estimators, with weights adaptively computed using the empirical distributionExpand
Robust inference for nonlinear regression models
A family of weighted estimators of the regression parameter under a nonlinear model is introduced. The proposed weighted estimators are computed through a four-step MM-procedure, and the givenExpand
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