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Please use this identifier to cite or link to this item: http://hdl.handle.net/10481/34829

Title: Global hypothesis test to compare the likelihood ratios of multiple binary diagnostic tests with ignorable missing data
Authors: Marín-Jiménez, Eugenia
Roldán Nofuentes, José Antonio
Issue Date: 2014
Abstract: In this article, a global hypothesis test is studied to simultaneously compare the likelihood ratios of multiple binary diagnostic tests when in the presence of partial disease verification the missing data mechanism is ignorable. The hypothesis test is based on the chi-squared distribution. Simulation experiments were carried out to study the type I error and the power of the global hypothesis test when comparing the likelihood ratios of two and three diagnostic tests respectively. The results obtained were applied to the diagnosis of coronary stenosis.
Sponsorship: This research was supported by the Spanish Ministry of Science, Grant Number MTM 2012-35591.
Publisher: Institut d'Estadística de Catalunya (Idescat)
Keywords: Global hipothesis test
Partial verification
Positive and negative likelihood ratio
URI: http://hdl.handle.net/10481/34829
ISSN: 1696-2281
2013-8830
Citation: Marín-Jiménez, E.; Roldán-Nofuentes, J.A. Global hypothesis test to compare the likelihood ratios of multiple binary diagnostic tests with ignorable missing data. Sort, 38(2): 305-324 (2014). [http://hdl.handle.net/10481/34829]
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