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Bootstrap confidence intervals for the sensitivity of a quantitative diagnostic test

โœ Scribed by Robert W. Platt; James A. Hanley; Hong Yang

Publisher
John Wiley and Sons
Year
2000
Tongue
English
Weight
116 KB
Volume
19
Category
Article
ISSN
0277-6715

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โœฆ Synopsis

We examine bootstrap approaches to the analysis of the sensitivity of quantitative diagnostic test data. Methods exist for inference concerning the sensitivity of one or more tests for "xed levels of speci"city, taking into account the variability in the sensitivity due to variability in the test values for normal subjects. However, parametric methods do not adequately account for error, particularly when the data are non-normally distributed, and non-parametric methods have low power. We implement bootstrap methods for con"dence limits for the sensitivity of a test for a "xed speci"city and demonstrate that under certain circumstances the bootstrap method gives more accurate con"dence intervals than do other methods, while it performs at least as well as other methods in many standard situations.

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