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:
|
589
|
Type:
|
Contributed
|
Date/Time:
|
Wednesday, August 3, 2011 : 2:00 PM to 3:50 PM
|
Sponsor:
|
Section on Statistics in Epidemiology
|
Abstract - #302320 |
Title:
|
A Modeling Strategy for Future Survival Days Given a Follow-Up Doubly Censored Sample of Liver Cancer Patients
|
Author(s):
|
Vincy Samuel*+ and Hafiz M. R. Khan
|
Companies:
|
Florida International University and Florida International University
|
Address:
|
Department of Epidemiology & Biostatistics, Miami, FL, 33199, USA
|
Keywords:
|
Doubly censored sample ;
Asymmetrical model ;
Likelihood function ;
Highest predictive density interval ;
Bayesian method ;
Predictive inference
|
Abstract:
|
This talk will focus on a novel application of Bayesian method to estimate future survival days given a set of doubly censored survival days of liver cancer patients. The derivation of predictive densities for future survival days from an asymmetrical model with a Bayesian frame-work will be discussed. A real data example of hepatocellular carcinoma of liver cancer patients who were diagnosed at a local hospital is used to illustrate the predictive results. Furthermore, subgroup levels of the male and female patients' follow-up survival days are considered to obtain the future survival days. The mean, standard deviation, and 95% highest predictive density interval of the future survival days are obtained by making use of the Bayesian 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.