Nonparametric Cutoff Point Estimation for Diagnostic Decisions with Weighted Errors
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| Formato: | Artículo científico |
| Lenguaje: | en |
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Universidad Nacional de Colombia
2011
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| _version_ | 1876447190752165888 |
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| author | Pablo Martínez-Camblor |
| author_facet | Pablo Martínez-Camblor |
| contents | Nonparametric Cutoff Point Estimation for Diagnostic Decisions with Weighted Errors Pablo Martínez-Camblor Física, Astronomía y Matemáticas Threshold Sensitivity Specificity Utility function Kernel density estimator The study of diagnostic tests is a hot topic which has direct applications in biomedical sciences. Despite of the relevance, in a diagnostic process, of the threshold (or cutoff point) employed on the decision taken by the physician, the study and comparison of the accuracy among different diagnostic criterions has been the main field of study. In this paper, the authors are interested in the study of the involved cutoff point estimation in diagnostic tests with weighted errors. With this goal, a nonparametric smoothed utility function estimator is considered. The bootstrap and the asymptotic distributions for the related M-estimator are derived. Finally, the obtained results are applied to study the Procalcitonin level which determines whether a child within the Pediatric Intensive Care Unit (UCIP) has a virical sepsis. 2011 artículo científico 0120-1751 https://www.redalyc.org/articulo.oa?id=89921357007 en http://www.redalyc.org/revista.oa?id=899 Revista Colombiana de Estadística application/pdf Universidad Nacional de Colombia Revista Colombiana de Estadística (Colombia) Num.1 Vol.34 |
| format | Artículo científico |
| id | redalyc_89921357007 |
| institution | Redalyc |
| language | en |
| publishDate | 2011 |
| publisher | Universidad Nacional de Colombia |
| spellingShingle | Nonparametric Cutoff Point Estimation for Diagnostic Decisions with Weighted Errors Pablo Martínez-Camblor Física, Astronomía y Matemáticas Threshold Sensitivity Specificity Utility function Kernel density estimator Nonparametric Cutoff Point Estimation for Diagnostic Decisions with Weighted Errors Pablo Martínez-Camblor Física, Astronomía y Matemáticas Threshold Sensitivity Specificity Utility function Kernel density estimator The study of diagnostic tests is a hot topic which has direct applications in biomedical sciences. Despite of the relevance, in a diagnostic process, of the threshold (or cutoff point) employed on the decision taken by the physician, the study and comparison of the accuracy among different diagnostic criterions has been the main field of study. In this paper, the authors are interested in the study of the involved cutoff point estimation in diagnostic tests with weighted errors. With this goal, a nonparametric smoothed utility function estimator is considered. The bootstrap and the asymptotic distributions for the related M-estimator are derived. Finally, the obtained results are applied to study the Procalcitonin level which determines whether a child within the Pediatric Intensive Care Unit (UCIP) has a virical sepsis. 2011 artículo científico 0120-1751 https://www.redalyc.org/articulo.oa?id=89921357007 en http://www.redalyc.org/revista.oa?id=899 Revista Colombiana de Estadística application/pdf Universidad Nacional de Colombia Revista Colombiana de Estadística (Colombia) Num.1 Vol.34 |
| title | Nonparametric Cutoff Point Estimation for Diagnostic Decisions with Weighted Errors |
| topic | Física, Astronomía y Matemáticas Threshold Sensitivity Specificity Utility function Kernel density estimator |
| url | https://www.redalyc.org/articulo.oa?id=89921357007 |