Abstract Details
Activity Number:
|
610
|
Type:
|
Contributed
|
Date/Time:
|
Wednesday, August 12, 2015 : 2:00 PM to 3:50 PM
|
Sponsor:
|
Biometrics Section
|
Abstract #316832
|
|
Title:
|
A Sequential Test for Treatment Effects Using Censored Data in Multi-Center Clinical Trials
|
Author(s):
|
Dong-Yun Kim*
|
Companies:
|
NHLBI/NIH
|
Keywords:
|
sequential probability ratio test ;
nonlinear renewal theory ;
staggered entry ;
excess limiting distribution ;
multi center clinical trials
|
Abstract:
|
In this paper we consider a fully sequential test in multi-center clinical trials. We assume that the patients are entered in a staggered fashion and randomly assigned to one of the two treatments. The sequential probability ratio test compares the treatment effects on the survival distribution while allowing for the site effects and censoring. Using the nonlinear renewal theory, we determine the upper and lower boundaries for the optimal stopping time by the limiting distribution of the excess. The method is illustrated by using a real data set.
|
Authors who are presenting talks have a * after their name.
Back to the full JSM 2015 program
|
For program information, contact the JSM Registration Department or phone (888) 231-3473.
For Professional Development information, 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.
2015 JSM Online Program Home
ASA Meetings Department
732 North Washington Street, Alexandria, VA 22314
(703) 684-1221 • meetings@amstat.org
Copyright © American Statistical Association.