Nonparametric predictive inference for comparison of two diagnostic tests

Alabdulhadi, M.; Coolen-Maturi, T.; Coolen, F.P.A.

Abstract

An important aim in diagnostic medical research is comparison of the accuracy of two diagnostic tests. In this paper, comparison of two diagnostic tests is presented using nonparametric predictive inference (NPI) for future order statistics. The tests are assumed to be applied on the same individuals from two groups, e.g., healthy and diseased individuals, or from three groups with a known ordering, e.g., adding a group of severely diseased individuals to the two group scenario. Our comparison is explicitly in terms of lower and upper probabilities for proportions of correctly diagnosed future individuals from each group, for a given total number of such individuals. We include in our comparison the possibility that it is more important to get a correct diagnosis for individuals from one group than from another group.

Citation

Alabdulhadi, M., Coolen-Maturi, T., & Coolen, F. (2021). Nonparametric predictive inference for comparison of two diagnostic tests. Communications in Statistics - Theory and Methods, 50(19), 4470-4486. https://doi.org/10.1080/03610926.2020.1719157

• Journal Article Type: Article
• Acceptance Date: Jan 7, 2020
• Online Publication Date: Jan 30, 2020
• Publication Date: 2021
• Deposit Date: Jan 7, 2020
• Publicly Available Date: Jan 30, 2021
• Journal: Communications in Statistics - Theory and Methods
• Print ISSN: 0361-0926
• Electronic ISSN: 1532-415X
• Publisher: Taylor and Francis Group
• Peer Reviewed: Peer Reviewed
• Volume: 50
• Issue: 19
• Pages: 4470-4486
• DOI: https://doi.org/10.1080/03610926.2020.1719157
• Public URL: https://durham-repository.worktribe.com/output/1280573