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:
|
136
|
|
Type:
|
Contributed
|
|
Date/Time:
|
Monday, July 30, 2012 : 8:30 AM to 10:20 AM
|
|
Sponsor:
|
Section on Bayesian Statistical Science
|
| Abstract - #305675 |
|
Title:
|
Analysis of Survival Data with a Cure Fraction Under Generalized Extreme Value Distribution
|
|
Author(s):
|
Fangfang Liu*+
|
|
Companies:
|
Iowa State University
|
|
Address:
|
2711 Ferndale, Ames, IA, 50010, United States
|
|
Keywords:
|
Cure rate model ;
Surviving fraction ;
Generalized extreme value distribution ;
Posterior distribution ;
Bayesian
|
|
Abstract:
|
This paper introduces generalized extreme value(GEV) distribution to analyze right-censored survival data for populations with a surviving fraction. Our proposed GEV model leads to extremely flexible hazard functions. We show that our Bayesian model has several nice properties. For example, we prove that even when improper priors are used, the resulting posterior could still be proper under some weak conditions. We further provide theoretical and numerical results showing that our GEV models offer a richer class of models than the widely used Weibull models. Finally, a melanoma dataset is analyzed to illustrate the proposed GEV model.
|
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.