Publication details for Tahani Coolen-MaturiAlabdulhadi, M.H., Coolen, F.P.A. & Coolen-Maturi, T. (2019). Nonparametric predictive comparison of two diagnostic tests based on total numbers of correctly diagnosed individuals. Journal of Statistical Theory and Practice 13: 38.
- Publication type: Journal Article
- ISSN/ISBN: 1559-8608, 1559-8616
- DOI: 10.1007/s42519-019-0039-6
- Further publication details on publisher web site
- Durham Research Online (DRO) - may include full text
Author(s) from Durham
In clinical applications, it is important to compare and study the ability of diagnostic tests to discriminate between individuals with and without the disease. In this paper, comparison of two diagnostic tests is presented and discussed using nonparametric predictive inference (NPI). We compare the two tests by considering the total numbers of correct diagnoses for specific numbers of future healthy individuals and future patients. This NPI approach for comparison of diagnostic tests is also generalized by the use of weighted sums for the healthy and patients groups, reflecting possibly different importance of correct diagnoses. Examples are provided to illustrate the new method.