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

• Grant number: 12/07891-5
• Support Opportunities: Scholarships in Brazil - Master
• Start date: July 01, 2012
• End date: August 31, 2014
• 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
• Host Institution: Instituto de Matemática e Estatística (IME). Universidade de São Paulo (USP). São Paulo , SP, Brazil
• Associated scholarship(s): 12/21262-0 - Parametric and semiparametric modeling for long-term survival data with destructive components, BE.EP.MS

Abstract

Several authors have considered long-term survival data modeling with a destructive component. In this project, we aim to study parametric as well as semiparametric approaches to this situation. Computational routines will be developed and practical implications evaluated.

Academic Publications

(References retrieved automatically from State of São Paulo Research Institutions)

RITTER, Victor Silva. Birth and death long-term survival model. 2014. Master's Dissertation - Universidade de São Paulo (USP). Instituto de Matemática e Estatística (IME/SBI) São Paulo.