This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 223
Type: Topic Contributed
Date/Time: Monday, August 2, 2010 : 2:00 PM to 3:50 PM
Sponsor: Biometrics Section
Abstract - #308836
Title: Bayesian Joint Model of Multivariate Ordinal Data with Competing Risks Survival Time
Author(s): Pulak Ghosh*+
Companies: Indian Institute of Management, Bangalore
Address: , Banglaore, International, 5660076, India
Keywords: ordinal data ; competing risk ; Dirichlet process ; spline
Abstract:

Existing joint models for longitudinal and survival data are not applicable for longitudinal ordinal outcomes with possible non-ignorable missing values caused by multiple reasons. We propose a semiparametric Bayesian joint model for longitudinal ordinal measurements and competing risks failure time data. In particular we develop a shared parameter model between the two endpoinst and assumed a semiprametric Dirichlet process prior for the shared parameter. The model will be assessed using simulation study and data analysis.


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