Parametric and semiparametric modeling for long-term survival data with destructive components

• Grant number: 12/21262-0
• Support type: Scholarships abroad - Research Internship - Master's degree
• Effective date (Start): March 01, 2013
• Effective date (End): August 31, 2013
• Field of knowledge: Physical Sciences and Mathematics - Probability and Statistics - Applied Probability and Statistics
• Principal researcher: Antonio Carlos Pedroso de Lima
• Grantee: Victor Silva Ritter
• Supervisor abroad: Pranab Kumar Sen
• Home Institution: Instituto de Matemática e Estatística (IME). Universidade de São Paulo (USP). São Paulo , SP, Brazil
• Research place: University of North Carolina at Chapel Hill (UNC), United States
• Associated to the scholarship: 12/07891-5 - Parametric and semiparametric modeling for long-term survival data with destructive components, BP.MS

Abstract

Several authors have considered long-term survival data modeling with a destructive component. During the abroad research, we will study the semiparametric and parametric approaches. In conjunction with Professor Pranab Sen, we will consider the inclusion of new biological mechanisms in the modeling using non-homogenious stochastic process. We desire to evaluate the inclusion of a generative component in the destructive model. (AU)