Censoring in survival analysis: robustness of the assumptions of independence and noninformation

• Grant number: 12/08175-1
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Start date: June 01, 2012
• End date: December 31, 2012
• Field of knowledge: Physical Sciences and Mathematics - Probability and Statistics - Statistics
• Principal Investigator: Antonio Carlos Pedroso de Lima
• Grantee: William Nilson de Amorim
• Host Institution: Instituto de Matemática e Estatística (IME). Universidade de São Paulo (USP). São Paulo , SP, Brazil

Abstract

In this project, we plan to evaluate the effect of dependent and informative censoring on the performance of estimators and hypothesis tests commonly used in Survival Analysis. It is planned to simulate data with different degrees of dependence and in formativeness and evaluate changes with respect to bias and standard errors of estimators as well as the power of hypothesis tests of interest.(AU)