This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
|
618
|
Type:
|
Topic Contributed
|
Date/Time:
|
Thursday, August 5, 2010 : 8:30 AM to 10:20 AM
|
Sponsor:
|
Health Policy Statistics Section
|
Abstract - #309329 |
Title:
|
Coherent Analysis of Longitudinal Changes in Biomarkers in the Presence of Attrition Due to Competing Risks
|
Author(s):
|
Tom Greene*+
|
Companies:
|
The University of Utah
|
Address:
|
, , ,
|
Keywords:
|
principal stratification ;
biomarker ;
truncation-by-death ;
causal inference ;
pattern mixture model
|
Abstract:
|
We consider the problem of estimating effects of treatments and exposures on longitudinal biomarkers for cohorts with high rates of attrition due to death or other competing risks. In this situation intended biomarker measurements occurring after competing events are undefined, so that standard methods for longitudinal analysis with missing data do not apply. Recently this type of problem has been addressed by applying the causal modeling framework of principal stratification to estimate effects on the biomarker for those patients who would survive without competing risks irrespective of the treatment or exposure level. We present a new approach to this problem that uses a pattern mixture model to relate the longitudinal biomarker to the event times for the competing risk in conjunction with a local rank preserving structural model to identify the appropriate subgroup for analysis.
|
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.