Global hypothesis test to compare the likelihood ratios of multiple binary diagnostic tests with ignorable missing data

Identificadores
URI: http://hdl.handle.net/10481/34829
ISSN: 1696-2281
ISSN: 2013-8830
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Auteur
Marín-Jiménez, Eugenia; Roldán Nofuentes, José Antonio
Editorial
Institut d'Estadística de Catalunya (Idescat)
Materia
Global hipothesis test
 
Partial verification
 
Positive and negative likelihood ratio
 
Date
2014
Referencia bibliográfica
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]
Patrocinador
This research was supported by the Spanish Ministry of Science, Grant Number MTM 2012-35591.
Résumé
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.
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