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:
|
38
|
Type:
|
Contributed
|
Date/Time:
|
Sunday, July 31, 2011 : 2:00 PM to 3:50 PM
|
Sponsor:
|
ENAR
|
Abstract - #300870 |
Title:
|
A Shared-Parameter Model for the Estimation of Longitudinal Concomitant Intervention Effects
|
Author(s):
|
Wenhua Jiang*+ and Colin O. Wu and Xin Tian
|
Companies:
|
The Johns Hopkins University and National Heart, Lung, and Blood Institute and National Heart, Lung, and Blood Institute
|
Address:
|
School of Medicine, Columbia, MD, 21044,
|
Keywords:
|
concomitant intervention ;
longitudinal data analysis ;
change-point model ;
shared-parameter model ;
clinical trial ;
depression
|
Abstract:
|
We investigate a change-point approach for modeling and estimating the regression effects caused by a concomitant intervention in a longitudinal study. Since a concomitant intervention is often introduced when a patient's health status exhibits undesirable trends, statistical models without properly incorporating the intervention and its starting time may lead to biased estimates of the intervention effects. We propose a shared-parameter change-point model to evaluate the pre- and post-intervention time trends of the response, and develop a likelihood-based method for estimating the intervention effects and other parameters. Application and statistical properties of our method is demonstrated through a longitudinal clinical trial in depression and heart disease and a simulation study.
|
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.