Estimating the Conditional False-Positive Rate for Semi-Latent Data
作者:
Lize van der Merwe,
J. Stephan Maritz,
期刊:
Epidemiology
(OVID Available online 2002)
卷期:
Volume 13,
issue 4
页码: 424-430
ISSN:1044-3983
年代: 2002
出版商: OVID
关键词: model;sensitivity;specificity;fit;diseased;gold standard;latent;screening;Bayesian
数据来源: OVID
摘要:
When comparing tests for a disease, it is necessary to know whether individuals are diseased or nondiseased. In practice, the confirmatory (gold standard) procedure is often limited to individuals with positive test results, because the confirmatory procedure is not applied to individuals with negative test results. We present a model for estimating the sensitivity and specificity when two tests are compared and the gold standard classification is unavailable (semi-latent) for those individuals with negative results on both tests. The model does not assume independent error rates, and estimates of specificity conditional on a false-positive result for another test are derived. We use a Bayes approach for estimating the distributions of the performance parameters.
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