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Acad Radiol. 2000 Jun;7(6):413-9.

Bootstrap estimation of diagnostic accuracy with patient-clustered data.

Author information

1
Group Health Cooperative of Puget Sound, Center for Health Studies, Seattle, WA 98101, USA.

Abstract

RATIONALE AND OBJECTIVES:

The purpose of this study was to describe a simple bootstrap approach for estimating sensitivity, specificity, and the area under the receiver operating characteristic curve for multisite test outcome data.

MATERIALS AND METHODS:

The performance of bootstrap estimates was evaluated and compared with that of analytic estimates by using a simulation study. Bootstrapping was demonstrated by using data from a previous study comparing two angiographic methods.

RESULTS:

Analytic and bootstrap estimates had similar coverage rates for 95% confidence intervals. With many sites per patient, bootstrap estimates had slightly better coverage than analytic estimates. Bootstrap percentile intervals had better coverage than asymptotic normal bootstrap intervals.

CONCLUSION:

Bootstrapping is a useful method of estimating confidence intervals for the area under the receiver operating characteristic curve, sensitivity, and specificity when data are correlated.

PMID:
10845400
DOI:
10.1016/s1076-6332(00)80381-5
[Indexed for MEDLINE]

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