Computational methods for comparing two binary diagnostic tests in the presence of partial verification of the disease |
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Authors: | J A Roldán Nofuentes J D Luna del Castillo P Femia Marzo |
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Institution: | (1) Biostatistics, School of Medicine, University of Granada, 18071 Granada, Spain;(2) School of Social Sciences, University of Granada, Campus of Melilla, 52071 Granada, Spain |
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Abstract: | In the presence of partial verification of the disease, confidence interval estimation for the difference of sensitivities
and specificities cannot be carried out by applying confidence intervals for the difference of binomial proportions, and the
comparison of the accuracy of the two binary tests cannot be carried out by applying McNemar’s test. In this article we propose
two methods for comparing the accuracy of two binary tests in the presence of partial verification of the disease. The first
method is based on the application of the EM and SEM algorithms, and the second method consists of the calculation of confidence
intervals for the difference in sensitivities and specificities applying confidence intervals for the difference in the two
binomial proportions from the last table obtained applying the EM algorithm. We carried out simulation experiments in order
to study and compare the coverage of several confidence intervals for the difference of the sensitivities and specificities. |
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