Abstract Details
|
Activity Number:
|
309
|
|
Type:
|
Contributed
|
|
Date/Time:
|
Tuesday, August 6, 2013 : 8:30 AM to 10:20 AM
|
|
Sponsor:
|
Section on Statistical Computing
|
| Abstract - #307725 |
|
Title:
|
Continual Reassessment Method with Bayesian Variable Selection in Phase I Clinical Trails
|
|
Author(s):
|
Zhenyu Zhao*+
|
|
Companies:
|
Northwestern University
|
|
Keywords:
|
Variable Selection ;
Adaptive Design ;
MCMC ;
Bayesian
|
|
Abstract:
|
This study presents a variable selection procedure in Bayesian adaptive design of Phase I clinical trials. For the Phase I dose-finding problem, besides the dose level, the dose-limiting toxicity (DLT) may depend on other covariates. The variable selection procedure presented is designed to involve the proper covariates in the model and use the selected model to predict the maximum tolerated dose (MTD). This variable selection procedure can be applied in a large range of Bayesian adaptive designs.
|
Authors who are presenting talks have a * after their name.
Back to the full JSM 2013 program
|
2013 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.
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.