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Nonparametric predictive inference for comparison of two diagnostic tests

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

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Authors

M. Alabdulhadi



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.

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

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