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. © Springer-Verlag Berlin Heidelberg 2010.
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Roldán Nofuentes, J. A., Luna Del Castillo, J. D., & Montero Alonso, M. A. (2010). Global hypothesis test to simultaneously compare the predictive values of two binary diagnostic tests in paired designs: A simulation study. In Proceedings of COMPSTAT 2010 - 19th International Conference on Computational Statistics, Keynote, Invited and Contributed Papers (pp. 533–540). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-7908-2604-3_54
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