Simplifying the estimation of diagnostic testing accuracy over time for high specificity tests in the absence of a gold standard
| العنوان: | Simplifying the estimation of diagnostic testing accuracy over time for high specificity tests in the absence of a gold standard |
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| المؤلفون: | Clara Drew, Moses Badio, Dehkontee Dennis, Lisa Hensley, Elizabeth Higgs, Michael Sneller, Mosoka Fallah, Cavan Reilly |
| المصدر: | Biometrics. |
| بيانات النشر: | Wiley, 2022. |
| سنة النشر: | 2022 |
| مصطلحات موضوعية: | Statistics and Probability, General Immunology and Microbiology, Applied Mathematics, General Medicine, General Agricultural and Biological Sciences, General Biochemistry, Genetics and Molecular Biology |
| الوصف: | Many different methods for evaluating diagnostic test results in the absence of a gold standard have been proposed. In this paper, we discuss how one common method, a maximum likelihood estimate for a latent class model found via the Expectation-Maximization (EM) algorithm can be applied to longitudinal data where test sensitivity changes over time. We also propose two simplified and nonparametric methods which use data-based indicator variables for disease status and compare their accuracy to the maximum likelihood estimation (MLE) results. We find that with high specificity tests, the performance of simpler approximations may be just as high as the MLE. |
| تدمد: | 1541-0420 0006-341X |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::55dfeba70c2e5f10d4b6d449b7371a87 https://doi.org/10.1111/biom.13689 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....55dfeba70c2e5f10d4b6d449b7371a87 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 15410420 0006341X |
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