Indexes to Measure Dependence between Clinical Diagnostic Tests: A Comparative Study
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| Format: | Artículo científico |
| Language: | en |
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Universidad Nacional de Colombia
2011
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| _version_ | 1876434345311338496 |
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| author | José Rafael Tovar |
| author_facet | José Rafael Tovar |
| contents | Indexes to Measure Dependence between Clinical Diagnostic Tests: A Comparative Study José Rafael Tovar Jorge Alberto Achcar Física, Astronomía y Matemáticas Copula Gumbel distribution Farlie Gumbel Morgenstern distribution In many practical situations, clinical diagnostic procedures include two or more biological traits whose outcomes are expressed on a continuous scale and are then dichotomized using a cut point. As measurements are performed on the same individual there is a likely correlation between the continuous underlying traits that can go unnoticed when the parameter estimation is done with the resulting binary variables. In this paper, we compare the performance of two different indexes developed to evaluate the dependence between diagnostic clinical tests that assume binary structure in the results with the performance of the binary covariance and two copula dependence parameters. 2011 artículo científico 0120-1751 https://www.redalyc.org/articulo.oa?id=89922501003 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.3 Vol.34 |
| format | Artículo científico |
| id | redalyc_89922501003 |
| institution | Redalyc |
| language | en |
| publishDate | 2011 |
| publisher | Universidad Nacional de Colombia |
| spellingShingle | Indexes to Measure Dependence between Clinical Diagnostic Tests: A Comparative Study José Rafael Tovar Física, Astronomía y Matemáticas Copula Gumbel distribution Farlie Gumbel Morgenstern distribution Indexes to Measure Dependence between Clinical Diagnostic Tests: A Comparative Study José Rafael Tovar Jorge Alberto Achcar Física, Astronomía y Matemáticas Copula Gumbel distribution Farlie Gumbel Morgenstern distribution In many practical situations, clinical diagnostic procedures include two or more biological traits whose outcomes are expressed on a continuous scale and are then dichotomized using a cut point. As measurements are performed on the same individual there is a likely correlation between the continuous underlying traits that can go unnoticed when the parameter estimation is done with the resulting binary variables. In this paper, we compare the performance of two different indexes developed to evaluate the dependence between diagnostic clinical tests that assume binary structure in the results with the performance of the binary covariance and two copula dependence parameters. 2011 artículo científico 0120-1751 https://www.redalyc.org/articulo.oa?id=89922501003 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.3 Vol.34 |
| title | Indexes to Measure Dependence between Clinical Diagnostic Tests: A Comparative Study |
| topic | Física, Astronomía y Matemáticas Copula Gumbel distribution Farlie Gumbel Morgenstern distribution |
| url | https://www.redalyc.org/articulo.oa?id=89922501003 |