Abstract Details
Activity Number:
|
646
|
Type:
|
Contributed
|
Date/Time:
|
Thursday, August 7, 2014 : 10:30 AM to 12:20 PM
|
Sponsor:
|
Biopharmaceutical Section
|
Abstract #313461
|
|
Title:
|
Planning Sample Size Using MMRM in Presence of Missing Data
|
Author(s):
|
Tao Song*+ and Ying Zhu and Pamela Hsu and Gajanan Bhat
|
Companies:
|
Spectrum Pharmaceutical and Biogen Idec and Spectrum Pharmaceutical and Spectrum Pharmaceutical
|
Keywords:
|
Sample size estimation ;
MMRM ;
Missing data
|
Abstract:
|
When planning sample size in clinical study protocol, the sample size is estimated from hypothesized effect size of the underlying study treatment. In order to account for potential dropout during the study, it is not uncommon to ignore the data for subjects who drop out of the study before the primary endpoint is reached. So the resulting sample size in the study may be larger than necessary, in particular when dropout rate is large (eg, 30%) and such data can be appropriately used in the actual analysis(eg, MMRM). We will present a simulation study that quantifies how much these dropout subjects can contribute to the study power, and thus help clinical trialists to better plan sample size at study design stage.
|
Authors who are presenting talks have a * after their name.
Back to the full JSM 2014 program
|
2014 JSM Online Program Home
For information, contact jsm@amstat.org or phone (888) 231-3473.
If you have questions about the Professional Development 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.