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Biostatistics. 2008 Jul;9(3):513-22. doi: 10.1093/biostatistics/kxm052. Epub 2008 Jan 18.

Statistical models for quantifying diagnostic accuracy with multiple lesions per patient.

Author information

1
Department of Clinical Epidemiology and Biostatistics, J2-203, Amsterdam Medical Center, University of Amsterdam, PO Box 22700, 1100 DE Amsterdam, The Netherlands. a.h.zwinderman@amc.uva.nl

Abstract

We propose random-effects models to summarize and quantify the accuracy of the diagnosis of multiple lesions on a single image without assuming independence between lesions. The number of false-positive lesions was assumed to be distributed as a Poisson mixture, and the proportion of true-positive lesions was assumed to be distributed as a binomial mixture. We considered univariate and bivariate, both parametric and nonparametric mixture models. We applied our tools to simulated data and data of a study assessing diagnostic accuracy of virtual colonography with computed tomography in 200 patients suspected of having one or more polyps.

PMID:
18204044
PMCID:
PMC2430771
DOI:
10.1093/biostatistics/kxm052
[Indexed for MEDLINE]
Free PMC Article

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