Bootstrap estimation of diagnostic accuracy with patient-clustered data.

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.

journal_name

Acad Radiol

journal_title

Academic radiology

authors

Rutter CM

doi

10.1016/s1076-6332(00)80381-5

keywords:

subject

Has Abstract

pub_date

2000-06-01 00:00:00

pages

413-9

issue

6

eissn

1076-6332

issn

1878-4046

journal_volume

7

pub_type

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