This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
|
345
|
Type:
|
Contributed
|
Date/Time:
|
Tuesday, August 3, 2010 : 10:30 AM to 12:20 PM
|
Sponsor:
|
Biopharmaceutical Section
|
Abstract - #308222 |
Title:
|
Change-Point Analysis of Survival Data with Application in Clinical Trials
|
Author(s):
|
Xuan Chen*+ and Michael Baron
|
Companies:
|
sanofi pasteur and The University of Texas at Dallas
|
Address:
|
, , International, 100022, China
|
Keywords:
|
Change-point problem ;
survival function ;
failure rate ;
maximum likelihood estimation ;
lease squares estimation ;
strong consistency
|
Abstract:
|
Effects of many medical procedures appear after a time lag, when a significant change occurs in subjects' failure rate. This paper focuses on the estimation of such changes. Unlike the classical change-point model, measurements may still be identically distributed, and the change point is a parameter of their common survival function. Some of the classical change-point detection techniques can still be used but the results are different. Contrary to the classical model, the maximum likelihood estimator of a change point appears consistent, even in presence of nuisance parameters. However, a more efficient procedure can be derived from Kaplan-Meier estimator of the survival function followed by the least squares estimation of the change point, which is strongly consistent. Proposed methods are applied to a recent clinical trial of the treatment program for strong drug dependence.
|
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.