Abstract Details
|
Activity Number:
|
479
|
|
Type:
|
Invited
|
|
Date/Time:
|
Wednesday, August 6, 2014 : 10:30 AM to 12:20 PM
|
|
Sponsor:
|
Biometrics Section
|
|
Abstract #310599
|
|
|
Title:
|
Challenges to Analyzing Survival Data Subject to Biased Sampling
|
|
Author(s):
|
Yu Shen*+
|
|
Companies:
|
MD Anderson Cancer Center
|
|
Keywords:
|
biased sampling ;
right censoring ;
survival outcome ;
regression models
|
|
Abstract:
|
Due to the biased sampling scheme, independent censoring assumption is often violated for right-censored survival data. Although the issues about biased inference caused by length-biased sampling have been widely recognized in statistical, epidemiological and economical literature, there is a need to develop efficient regression models for analyzing biased right-censored observations. In this talk, we will discuss some recent development in this area.
|
Authors who are presenting talks have a * after their name.
Back to the full JSM 2014 program
|
2014 JSM Online Program Home
For information, contact jsm@amstat.org or phone (888) 231-3473.
If you have questions about the Professional Development program, please contact the Education Department.
The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.
Copyright © American Statistical Association.