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

Autor/a

Marín Jimenez, Ana Eugenia

Roldán Nofuentes, José Antonio

Fecha de publicación

2014

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.

Tipo de documento

Article

Lengua

Inglés

Materias y palabras clave

Global hypothesis test; Partial verification; Positive and negative likelihood ratio

Publicado por

 

Documentos relacionados

SORT : statistics and operations research transactions ; Vol. 38 Núm. 2 (July-December 2014), p. 305-324

Derechos

open access

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https://creativecommons.org/licenses/by-nc-nd/3.0/

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