The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.
Abstract Details
|
Activity Number:
|
619
|
|
Type:
|
Contributed
|
|
Date/Time:
|
Thursday, August 4, 2011 : 8:30 AM to 10:20 AM
|
|
Sponsor:
|
Biometrics Section
|
| Abstract - #302584 |
|
Title:
|
Local Buckley-James Estimation for the Heteroscedastic AFT Model
|
|
Author(s):
|
Lei Pang*+ and Wenbin Lu and Huixia Judy Wang
|
|
Companies:
|
North Carolina State University and North Carolina State University and North Carolina State University
|
|
Address:
|
2806-22 Brigadoon Drive, Raleigh, NC, 27606,
|
|
Keywords:
|
Censored Regression ;
Buckley-James ;
Survivial Analysis ;
Local
|
|
Abstract:
|
Current available estimation methods for the Accelerated Failure Time (AFT) model require the random errors to be homoscedastic. A heteroscedastic AFT model is proposed to extend the traditional AFT model, making it possible to accommodate possible heteroscedastic random errors. The Local Buckley-James method is proposed for the estimation and inference about the heteroscedastic AFT model. Theoretical investigation and numerical studies are performed to establish the effectiveness of the proposed method.
|
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 2011 program
|
2011 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.