Global hypothesis test to compare the likelihood ratios of multiple binary diagnostic tests with ignorable missing data
Metadatos
Mostrar el registro completo del ítemEditorial
Institut d'Estadística de Catalunya (Idescat)
Materia
Global hipothesis test Partial verification Positive and negative likelihood ratio
Fecha
2014Referencia 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.Resumen
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.