Global Hypothesis Test to Simultaneously Compare the Predictive Values of Two Binary Diagnostic Tests in Paired Designs: a Simulation Study

J. A. Roldán Nofuentes (), J. D. Luna del Castillo () and M. A. Montero Alonso ()
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J. A. Roldán Nofuentes: University of Granada, Biostatistics, School of Medicine
J. D. Luna del Castillo: University of Granada, Biostatistics, School of Medicine
M. A. Montero Alonso: University of Granada, School of Social Sciences

A chapter in Proceedings of COMPSTAT'2010, 2010, pp 533-540 from Springer

Abstract: Abstract The positive and negative predictive values of a binary diagnostic test are measures of the clinical accuracy of the diagnostic that depend on the sensitivity and the specificity of the binary test and on the disease prevalence. Moreover, the positive predictive value and the negative predictive value are not parameters which are independent of each other. In this article, a global hypothesis test is studied to simultaneously compare the positive and negative predictive values of two binary diagnostic tests in paired designs.

Keywords: binary diagnostic test; predictive values; simultaneously comparison (search for similar items in EconPapers)
Date: 2010
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-7908-2604-3_54

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DOI: 10.1007/978-3-7908-2604-3_54

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