Document Detail

Empirical Likelihood-Based Confidence Interval of ROC Curves.
MedLine Citation:
PMID:  20221299     Owner:  NLM     Status:  Publisher    
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.
Haiyan Su; Yongsong Qin; Hua Liang
Related Documents :
2364679 - Use of a lotus 1-2-3 spreadsheet to plot the confidence and the prediction intervals in...
9061839 - On the analysis of life tables for dependent observations.
7455529 - Chronobiometry with pocket calculators and computer systems.
10591449 - Prospective evaluation of a logistic model based on sonographic morphologic and color d...
8340769 - Real-time processing of serial stimuli in classical conditioning of the rabbit's nictit...
8504559 - Chemistry with confidence: should clinical chemistry require confidence intervals for a...
16376949 - Improvement of pollutant drift forecast system applied to the prestige oil spills in ga...
19427469 - Automatic adjustment of the relative importance of different input variables for optimi...
15357199 - Choice of the regularization parameter for perfusion quantification with mri.
Publication Detail:
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:  -    
Department of Biostatistics and Computational Biology, University of Rochester Medical Center, Rochester, NY 14642.
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Grant Support
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

Previous Document:  Air/Water-Stable Tridentate NHC-Pd Complex; Catalytic C-H Activation of Hydrocarbons via H/D Exchang...
Next Document:  Separation, Sickness, and Depression: A New Perspective on an Old Animal Model.