Nonparametric Methods for the Comparison of ROC Curves with Application to Biomedicine

• Autores: Aris Fanjul Hevia
• Directores de la Tesis: Wenceslao González Manteiga (dir. tes.), Juan Carlos Pardo Fernández (dir. tes.)
• Lectura: En la Universidade de Santiago de Compostela ( España ) en 2021
• Idioma: inglés
• Tribunal Calificador de la Tesis: Rosa M. Crujeiras Casais (presid.), María José Rodríguez Álvarez (secret.), Vanda Inácio (voc.)
• Programa de doctorado: Programa de Doctorado en Estadística e Investigación Operativa por la Universidad de A Coruña; la Universidad de Santiago de Compostela y la Universidad de Vigo
• Materias:
  • Matemáticas
    • Estadística
      • Métodos de distribución libre y no paramétrica
      • Técnicas de inferencia estadística
  • Ciencias de la vida
    • Biomatemáticas
      • Bioestadística
• Enlaces
  • Tesis en acceso abierto en: MINERVA
• Resumen

  • The main goal of this project is to use nonparametric methods to obtain new procedures 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 designed and studied for the comparison of ROC curves in the presence of a unidimensional covariate. Eventually, those tests will be adapted to the case in which the covariate is multidimensional. It will also be of great interest to study whether 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 de Santiago de Compostela.