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Nonparametric predictive inference for comparison of multiple diagnostic tests

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  • Manal H. Alabdulhadi

Abstract

In medical applications, multiple diagnostic tests are often available for the same disease. Comparing the accuracy of these tests is an important aspect of medical diagnosis. In this article, we present nonparametric predictive lower and upper probabilities for multiple comparisons of diagnostic tests to distinguish between two groups by considering the number of correctly diagnosed individuals from both groups in a data set. We also introduce a subset selection of diagnostic tests for multiple comparisons, involving a subset that includes the best test and a subset that contains all the best tests.

Suggested Citation

  • Manal H. Alabdulhadi, 2025. "Nonparametric predictive inference for comparison of multiple diagnostic tests," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 54(19), pages 6340-6359, October.
    • Handle: RePEc:taf:lstaxx:v:54:y:2025:i:19:p:6340-6359
    DOI: 10.1080/03610926.2025.2455945
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