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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 Investigator: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
Local de pesquisa : 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)