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| Janes, Holly; Longton, Gary M.; Pepe, Margaret S.. |
| Classification accuracy is the ability of a marker or diagnostic test to discriminate between two groups of individuals, cases and controls, and is commonly summarized by using the receiver operating characteristic (ROC) curve. In studies of classification accuracy, there are often covariates that should be incorporated into the ROC analysis. We describe three ways of using covariate information. For factors that affect marker observations among controls, we present a method for covariate adjustment. For factors that affect discrimination (i.e., the ROC curve), we describe methods for modeling the ROC curve as a function of covariates. Finally, for factors that contribute to discrimination, we propose combining the marker and covariate information, and we... |
| Tipo: Article |
Palavras-chave: Roccurve; Comproc; Rocreg; Receiver operating characteristic analysis; ROC; Covariates; Sensitivity; Specificity; Research Methods/ Statistical Methods. |
| Ano: 2009 |
URL: http://purl.umn.edu/122695 |
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| Pepe, Margaret S.; Longton, Gary M.; Janes, Holly. |
| The receiver operating characteristic (ROC) curve displays the capacity of a marker or diagnostic test to discriminate between two groups of subjects, cases versus controls. We present a comprehensive suite of Stata commands for performing ROC analysis. Nonparametric, semiparametric, and parametric estimators are calculated. Comparisons between curves are based on the area or partial area under the ROC curve. Alternatively, pointwise comparisons between ROC curves or inverse ROC curves can be made. We describe options to adjust these analyses for covariates and to perform ROC regression in a companion article. We use a unified framework by representing the ROC curve as the distribution of the marker in cases where we have standardized it to the control... |
| Tipo: Article |
Palavras-chave: Roccurve; Comproc; Receiver operating characteristic curve; Research Methods/ Statistical Methods. |
| Ano: 2009 |
URL: http://purl.umn.edu/122693 |
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