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A comprehensive and comparative review of optimal cut-points selection methods for diseases with multiple ordinal
1Department of Biostatistics, School of Public Health and Health Professions, University at Buffalo, Buffalo, NY, USA.
Abstract:
Cut-points selection is a key topic in the field of diagnostic studies. For binary classification, there exist several well-developed methods, some of which have been extended to three-class settings and beyond. This paper focuses on optimal cut-points selection methods for diseases with multiple ordinal stages. The purpose of this paper is two-fold: 1) to propose three new cut-points selection methods; and 2) to present a comprehensive simulation study to assess and compare the performance of all the available methods. Two real data sets, one from ovarian cancer and the other from pancreatic cancer, are analyzed.
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