RT Dissertation/Thesis
T1 Nonparametric Methods for the Comparison of ROC Curves with Application to Biomedicine
A1 Fanjul Hevia, Arís
K1 ROC curves
K1 bootstrap
K1 covariates
K1 hypothesis testing
AB The main goal of this project is to use nonparametric methods to obtain newprocedures concerning the ROC curve with significant applications in the biomedical field.Firstly, tests for the comparison of ROC curves without covariates will be studied. Next, new tests will be designedand studied for the comparison of ROC curves in the presence of a unidimensional covariate. Eventually, thosetests will be adapted to the case in which the covariate is multidimensional. It will also be of great interest to studywhether it is necessary to include those covariates in an ROC curve analysis.The new procedures will be developed in R, and later applied to real data provided by the Hospital Universitario deSantiago de Compostela.
YR 2021
FD 2021
LK http://hdl.handle.net/10347/25152
UL http://hdl.handle.net/10347/25152
LA eng
DS Minerva
RD 24 abr 2026