MEIO - Summer School - Semi-parametric and Nonparametric analysis of survival data
Impartit per: Narayanaswamy Balakrishnan. Professor of Statistics. Department of Mathematics and Statistics. McMaster University. Hamilton, Ontario Canada. bala@univmail.cis.mcmaster.ca
Llengua del curs: Anglès
Dates i horaris del curs: 20 a 22 de setembre, Dies 20 i 21 de 11 a 13 i de 15 a 17, dia 22 de 11 a 13 h
Aula FME: S05
Tipus d'activitat i càrrega lectiva: Curs de 10 hores
Reconeixement acadèmic: 1,5 crèdits
Data de matrícula: Del 7 al 15 de setembre del 2010
Objectius del curs:
In this short course, the primary focus will be on parametric, semi-parametric and non-parametric inferential methods in the context of survival analysis. I shall begin the course with a short description of ordered data and introduce different forms of censoring that could arise in practice. Then, I shall take on different problems of interest in the area of survival analysis and detail developments on parametric, semi-parametric and non-parametric techniques. These will include comparison of treatments, hazards models, cure rate models, and competing risks analyses. I shall present results on the estimation of model parameters as well as on tests of hypotheses of different types. After discussing the relative merits of these procedures through Monte Carlo simulations, I shall use specific real-life examples to illustrate the usefulness of the procedures described.
Temari del curs:
• Precedence-Type Tests and Applications
• Generalized Gamma Frailty Model and Applications
• Nonparametric Tests for Panel Count Data and Applications
• Precedence Type Tests based on Kaplan-Meier Estimate of Survival
• Random-Sum Wilcoxon Statistic and Application to Bioinformatics
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