Date of Award
7-18-2008
Degree Type
Thesis
Degree Name
Master of Science (MS)
Department
Mathematics and Statistics
First Advisor
Gengsheng Qin - Chair
Second Advisor
Yixin Fang
Third Advisor
Yu-sheng Hsu
Abstract
Youden index, a main summary index for the Receiver Operating Characteristic (ROC) curve, is a comprehensive measurement for the effectiveness of a diagnostic test. For a continuous-scale diagnostic test, the optimal cut-point for the positive of disease is the cut-point leading to the maximization of the sum of sensitivity and specificity. Finding the Youden index of the test is equivalent to maximize the sum of sensitivity and specificity for all the possible values of the cut-point. In this thesis, we propose a new non-parametric confidence interval for the Youden index. Extensive simulation studies are conducted to compare the relative performance of the new interval with the existing intervals for the index. Our simulation results indicate that the newly developed non-parametric method performs as well as the existing parametric method but it has better finite sample performance than the existing non-parametric methods. The new method is flexible and easy to implement in practice. A real example is also used to illustrate the application of the proposed interval.
DOI
https://doi.org/10.57709/1059712
Recommended Citation
Zhou, Haochuan, "New Non-Parametric Confidence Interval for the Youden." Thesis, Georgia State University, 2008.
doi: https://doi.org/10.57709/1059712