Revistes Publicacions URV: SORT - Statistics and Operations Research Transactions> 2014

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

  • Datos identificativos

    Identificador: RP:2420
    Handle: https://hdl.handle.net/20.500.11797/RP2420
    Autores:
    Roldán Nofuentes, José AntonioMarín Jiménez, Ana Eugenia
    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.

  • Otros:

    Autor/es de la URV: Roldán Nofuentes, José Antonio Marín Jiménez, Ana Eugenia
    Palabras clave: Global hypothesis test, partial verification, positive and negative likelihood ratio.
    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.
    Año de publicación de la revista: 2014
    Tipo de publicación: info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article

  • Palabras clave:

    Global hypothesis test, partial verification, positive and negative likelihood ratio.

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