Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1150240 | Journal of Statistical Planning and Inference | 2010 | 16 Pages |
Abstract
In the presence of partial disease verification, the comparison of the accuracy of binary diagnostic tests cannot be carried out through the paired comparison of the diagnostic tests applying McNemar's test, since for a subsample of patients the disease status is unknown. In this study, we have deduced the maximum likelihood estimators for the sensitivities and specificities of multiple binary diagnostic tests and we have studied various joint hypothesis tests based on the chi-square distribution to compare simultaneously the accuracy of these binary diagnostic tests when for some patients in the sample the disease status is unknown. Simulation experiments were carried out to study the type I error and the power of each hypothesis test deduced. The results obtained were applied to the diagnosis of coronary stenosis.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
José Antonio Roldán Nofuentes, Juan Dios Luna del Castillo, Ana Eugenia MarÃn Jimenez,