Global hypothesis test to compare the likelihood ratios of multiple binary diagnostic tests with ignorable missing data
Marín Jimenez, Ana Eugenia (Universidad de Granada)
Roldán Nofuentes, José Antonio (Universidad de Granada)

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.
Rights: Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades. Creative Commons
Language: Anglès.
Document: article ; recerca ; publishedVersion
Subject: Global hypothesis test ; Partial verification ; Positive and negative likelihood ratio
Published in: SORT : statistics and operations research transactions, Vol. 38 Núm. 2 (July-December 2014) , p. 305-324, ISSN 1696-2281

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 Record created 2015-01-14, last modified 2019-04-24

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