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:
|
611
|
|
Type:
|
Topic Contributed
|
|
Date/Time:
|
Thursday, August 4, 2011 : 8:30 AM to 10:20 AM
|
|
Sponsor:
|
Biopharmaceutical Section
|
| Abstract - #302199 |
|
Title:
|
Successful Bayesian Submissions for Medical Devices
|
|
Author(s):
|
Pablo Bonangelino*+
|
|
Companies:
|
U.S. Food and Drug Administration/CDRH
|
|
Address:
|
10903 New Hampshire Ave., Silver Spring, MD, 20993,
|
|
Keywords:
|
Bayesian ;
Type I Error ;
Medical Devices ;
Non-informative priors ;
Informative priors ;
Discounting Priors
|
|
Abstract:
|
A successful Bayesian submission is one that makes effective use of the properties of Bayesian Analysis. These properties include: flexibility/adaptability; direct probability statements about a parameter; use of accumulating information for prediction; and, use of priors to augment current analyses. After a brief discussion of adaptive designs with non-informative priors, I will talk about the problem of Type I error with the use of informative priors and discuss several ways to approach this issue. I will conclude with a presentation of methods for modeling and discounting information from one prior trial.
|
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.