The analysis of interval-censored survival data. From a Nonparametric perspective to a nonparametric Bayesian approach

• Autores: María Luz Calle Rosingana
• Directores de la Tesis: Guadalupe Gómez Melis (dir. tes.)
• Lectura: En la Universitat Politècnica de Catalunya (UPC) ( España ) en 2006
• Idioma: inglés
• ISBN: 84-690-2891-X
• Depósito Legal: B.54538-2006
• Tribunal Calificador de la Tesis: Manuel Martí Recober (presid.) , Olga Julià de Ferran (secret.) , María Jesús Bayarri García (voc.) , Daniel Peña Sánchez de Rivera (voc.) , Josep Ginebra (voc.)
• Enlaces
  • Tesis en acceso abierto en: TDX
• Resumen

  • This work concerns some problems in the area of survival analysis that arise in real clinical or epidemiological studies. In particular, we approach the problem of estimating the survival function based on interval-censored data or doubly-censored data. We will start defining these concepts and presenting a brief review of different methodologies to deal with this kind of censoring patterns.

    Survival analysis is the term used to describe the analysis of data that correspond to the time from a well defined origin time until the occurrence of some particular event of interest. This event need not necessarily be death, but could, for example, be the response to a treatment, remission from a disease, or the occurrence of a symptom