This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
|
107
|
Type:
|
Invited
|
Date/Time:
|
Monday, August 2, 2010 : 8:30 AM to 10:20 AM
|
Sponsor:
|
Committee on Applied Statisticians
|
Abstract - #305990 |
Title:
|
Decisionmaking in Post Clinical Trials
|
Author(s):
|
Heping Zhang*+
|
Companies:
|
Yale University
|
Address:
|
Professor of Biostatistics, Child Study, and Statistics , New Haven, CT, ,
|
Keywords:
|
decision tree ;
clinical trials ;
treatment effect ;
Kullback-Leibler divergence
|
Abstract:
|
Controlled randomized clinical trials are the standard design to compare the effectiveness of treatments. In those trials, the effects of the treatments are compared among study groups in terms of the within-group average effects. It is possible that the most effective treatment based on the average effect is not as effective as other treatments in particular groups of patients. Identifying such potential subgroups is important for making clinical decisions. We present the decision tree approach to answering this important question. Specifically, we employ the Kullback-Leibler divergence as the node splitting criterion, and determine the tree size according to whether the same clinical decision is reached.
|
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.