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:
|
423
|
|
Type:
|
Contributed
|
|
Date/Time:
|
Tuesday, August 2, 2011 : 2:00 PM to 3:50 PM
|
|
Sponsor:
|
Biopharmaceutical Section
|
| Abstract - #302101 |
|
Title:
|
A Distribution-Free Bayesian Method for Estimating the Probability of Response in Combination Drug Tests
|
|
Author(s):
|
John W. Seaman III*+ and John W. Seaman Jr. and James Stamey
|
|
Companies:
|
Alcon Laboratories, Inc. and Baylor University and Baylor University
|
|
Address:
|
, , 76134,
|
|
Keywords:
|
Early Phase Studies ;
Prior Construction ;
Proof Loading
|
|
Abstract:
|
Many illnesses are often treated with a combination of drugs. These combinations can be more effective than using any of the component drugs individually, but may lead to increased safety concerns. Prior to human trials with the combination, what can be said about efficacy and/or safety of the combination? An experimental design known as proof loading allows us to obtain preliminary estimates about the joint probability of an adverse event, without exposing patients to the combination drug. We propose a Bayesian distribution-free approach to proof loading as a possible solution to this problem. We investigate the model with examples and simulation studies.
|
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.