This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
|
Activity Number:
|
51
|
|
Type:
|
Invited
|
|
Date/Time:
|
Sunday, August 1, 2010 : 4:00 PM to 5:50 PM
|
|
Sponsor:
|
IMS
|
| Abstract - #306159 |
|
Title:
|
Semiparametric Additive Mixed Effect Model for Multivariate Failure Time Data
|
|
Author(s):
|
Jianwen Cai*+
|
|
Companies:
|
The University of North Carolina at Chapel Hill
|
|
Address:
|
Department of Biostatistics, CB #7420, Chapel Hill, NC, 27599-7420,
|
|
Keywords:
|
multivariate failure time ;
mixed effect ;
estimating equations
|
|
Abstract:
|
We propose a semiparametric additive mixed effect model for modelling multivariate failure time data. A cluster-specific random effect is introduced to the additive intensity model to account for the dependence of the correlated failure times. We construct an estimating equation for parameter estimation. The asymptotic distributions of the proposed estimators are derived. Simulation studies demonstrate that the proposed inference procedure performs well in realistic settings. We apply the proposed method to analyze data from a medical study.
|
The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
Back to the full JSM 2010 program
|
2010 JSM Online Program Home
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.