JSM 2004 - Toronto

JSM Activity #CE_26C

This is the preliminary program for the 2004 Joint Statistical Meetings in Toronto, Canada. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 7-10, 2004); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

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CE_26C Tue, 8/10/04, 8:15 AM - 4:15 PM FRY-Confederation 5 & 6
Analysis of Multivariate Survival Data: An Introduction to Frailty Models (1 Day Course) - Continuing Education - Course
ASA, Section on Statistics in Epidemiology, Biometrics Section
Instructor(s): Philip Hougaard, H. Lundbeck A/S
The course starts with a brief introduction to survival data to get a common notation. Frailty models for univariate data are described showing the mathematics behind mixture evaluations. The univariate data frailty model can model heterogeneity and extend standard models (like the proportional hazards to non-proportional hazards). Multivariate data examples are described and classified in six types. Probability mechanisms for dependence and correlation-like measures of dependence are described. The shared frailty model for multivariate data is the central model, allowing both covariate effects and dependence. The course emphasizes choice of model, advantages and disadvantages of each model, interpretation and applications. Many applications are considered, including the survival of twins. The course covers parametric and non-parametric models and proportional hazards models and accelerated failure time models. Also recurrent events data are considered. Finally extensions of the model are described briefly to discuss shortcomings of assuming shared frailty. Software examples show gamma frailty models fitted by Splus. Course book: Hougaard "Analysis of multivariate survival data", Springer 2000. Pre-requisites: Standard survival data methods (Censoring, truncation, Nelson-Aalen, Cox proportional hazards, accelerated failure times)
 

JSM 2004 For information, contact jsm@amstat.org or phone (888) 231-3473. If you have questions about the Continuing Education program, please contact the Education Department.
Revised March 2004