The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.
Online Program Home
Abstract Details
|
Activity Number:
|
80
|
|
Type:
|
Contributed
|
|
Date/Time:
|
Sunday, July 29, 2012 : 4:00 PM to 5:50 PM
|
|
Sponsor:
|
Section on Bayesian Statistical Science
|
| Abstract - #306282 |
|
Title:
|
Bayesian Analysis of Competing Risks Cure Rate Regression Model
|
|
Author(s):
|
Qian Dong*+ and Sanjib Basu
|
|
Companies:
|
Northern Illinois University and Northern Illinois University
|
|
Address:
|
511 Normal Rd. Apt#107, Dekalb, IL, 60115, United States
|
|
Keywords:
|
Competing risks ;
Mixture cure model ;
Cure rate ;
Bayesian analysis ;
Regression
|
|
Abstract:
|
Competing risks refers to multiple risks acting simultaneously on a subject and play an important role in analyzing survival or failure data from one or more mutually exclusive types or causes. A cure rate, or a limited-failure model, postulates a fraction of the subjects/systems to be cured or failure-free, and can be formulated as a mixture model, or alternatively by a bounded cumulative hazard model. In this research, Bayesian analysis of multiple causes of failure in the framework of competing risks cure rate model is carried out in the setting of certain statistical problems arising from biomedicine. The model in this research is applied to survival data from breast cancer patients of the Surveillance, Epidemiology, and End Results (SEER) program at the National Cancer Institute.
|
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 2012 program
|
2012 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.