Document Detail


Empirical Likelihood-Based Confidence Interval of ROC Curves.
MedLine Citation:
PMID:  20221299     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
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.
Authors:
Haiyan Su; Yongsong Qin; Hua Liang
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Publication Detail:
Type:  JOURNAL ARTICLE    
Journal Detail:
Title:  Statistics in biopharmaceutical research     Volume:  1     ISSN:  1946-6315     ISO Abbreviation:  -     Publication Date:  2009 Nov 
Date Detail:
Created Date:  2010-7-13     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101507745     Medline TA:  Stat Biopharm Res     Country:  -    
Other Details:
Languages:  ENG     Pagination:  407-414     Citation Subset:  -    
Affiliation:
Department of Biostatistics and Computational Biology, University of Rochester Medical Center, Rochester, NY 14642.
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MeSH Terms
Descriptor/Qualifier:
Grant Support
ID/Acronym/Agency:
R01 AI059773-01A2//NIAID NIH HHS; R01 AI062247-03//NIAID NIH HHS

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