| Empirical Likelihood-Based Confidence Interval of ROC Curves. | |
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MedLine Citation:
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PMID: 20221299 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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In this article we propose an empirical likelihood-based confidence interval for receiver operating characteristic curves which are based on a continuous-scale test. The approach is easily understood, simply implemented, and computationally efficient. The results from our simulation studies indicate that the finite-sample numerical performance slightly outperforms the most promising methods published recently. Two real datasets are analyzed by using the proposed method and the existing bootstrap-based method. |
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Authors:
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Haiyan Su; Yongsong Qin; Hua Liang |
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Publication Detail:
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Type: JOURNAL ARTICLE |
Journal Detail:
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Title: Statistics in biopharmaceutical research Volume: 1 ISSN: 1946-6315 ISO Abbreviation: - Publication Date: 2009 Nov |
Date Detail:
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Created Date: 2010-7-13 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 101507745 Medline TA: Stat Biopharm Res Country: - |
Other Details:
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Languages: ENG Pagination: 407-414 Citation Subset: - |
Affiliation:
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Department of Biostatistics and Computational Biology, University of Rochester Medical Center, Rochester, NY 14642. |
Export Citation:
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Descriptor/Qualifier:
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| Grant Support | |
ID/Acronym/Agency:
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R01 AI059773-01A2//NIAID NIH HHS; R01 AI062247-03//NIAID NIH HHS |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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