EconPapers    
Economics at your fingertips  
 

Confidence interval estimation of partial area under curve based on combined biomarkers

Lili Tian

Computational Statistics & Data Analysis, 2010, vol. 54, issue 2, 466-472

Abstract: In diagnostic studies, we often need to combine several markers to increase the diagnostic accuracy. This paper addresses the problem of confidence interval estimation of partial area under receiver-operating characteristic (ROC) curve for the combined marker based on the optimal linear combination proposed by Su and Liu (1993). The proposed approach is developed using the concepts of generalized inference. Numerical study demonstrates that the proposed approach generally can provide reasonable confidence intervals via a few straightforward simulation steps.

Date: 2010
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167-9473(09)00342-9
Full text for ScienceDirect subscribers only.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:csdana:v:54:y:2010:i:2:p:466-472

Access Statistics for this article

Computational Statistics & Data Analysis is currently edited by S.P. Azen

More articles in Computational Statistics & Data Analysis from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:csdana:v:54:y:2010:i:2:p:466-472