Abstract Details
Activity Number:
|
631
|
Type:
|
Topic Contributed
|
Date/Time:
|
Thursday, August 8, 2013 : 8:30 AM to 10:20 AM
|
Sponsor:
|
Biopharmaceutical Section
|
Abstract - #309168 |
Title:
|
Fisherian Evidential Approach for Adaptive Doubly Randomized Withdrawal Designs
|
Author(s):
|
Qing Liu*+
|
Companies:
|
Johnson & Johnson
|
Keywords:
|
Doubly Randomized Withdrawal Design ;
Fisherian Evidential Approach ;
Multiple Type 1 Error Rates ;
Sample Size Adjustment ;
Adaptive Design ;
Enrichment
|
Abstract:
|
Many diseases require initial (induction) and maintenance treatments. Traditionally, such treatment regimen has often been developed through separate clinical trials in different patient cohorts. We propose to develop the treatment regimen in a single clinical trial with a doubly randomized withdrawal design. Within this trial, it is still necessary to answer the two basic research questions regarding the acute and maintenance effects of the new treatment regimen. With the traditional approach of separate trials, each of the research questions is tested at the trial significance level, and the multiple type 1 error rates are not adjusted between the trials. However, it is not clear if the multiple type 1 error rates need to be adjusted for a single trial with the doubly randomized withdrawal design. We develop a Fisherian evidential approach by which no adjustment to the p-values or significance levels are made. For the single trial, the approach also controls strongly the multiple type 1 error rates for false clinical claims of the acute and maintenance effects. We also discuss features of sample size calculation and adjustment.
|
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.