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Monte Carlo studies of bootstrap variability in ROC analysis with data dependency
ROC analysis involving two large datasets is an important method for analyzing statistics of interest for decision making of a classifier in many disciplines. And data dependency due to multiple use of the same subjects exists ubiquitously in order to generate more samples because of limited resourc...
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| Publicat a: | Commun Stat Simul Comput |
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| Autors principals: | , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2018
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7067283/ https://ncbi.nlm.nih.gov/pubmed/32165781 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/03610918.2018.1521974 |
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