| Registro completo |
| Provedor de dados: |
AgEcon
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| País: |
United States
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| Título: |
Estimation and comparison of receiver operating characteristic curves
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| Autores: |
Pepe, Margaret S.
Longton, Gary M.
Janes, Holly
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| Data: |
2012-04-16
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| Ano: |
2009
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| Palavras-chave: |
Roccurve
Comproc
Receiver operating characteristic curve
Research Methods/ Statistical Methods
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| Resumo: |
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 reference distribution.
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| Tipo: |
Article
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| Idioma: |
Inglês
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| Identificador: |
st0154
http://purl.umn.edu/122693
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| Relação: |
Stata Journal>Volume 09, Number 1, 1st Quarter 2009
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| Formato: |
16
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