Abstract Details
|
Activity Number:
|
518
|
|
Type:
|
Topic Contributed
|
|
Date/Time:
|
Wednesday, August 7, 2013 : 10:30 AM to 12:20 PM
|
|
Sponsor:
|
Biopharmaceutical Section
|
| Abstract - #309518 |
|
Title:
|
Placebo Effect Assessment in Quality-of-Life Evaluations
|
|
Author(s):
|
Jens Eickhoff*+
|
|
Companies:
|
University of Wisconsin-Madison
|
|
Keywords:
|
mixture model ;
latent variable modeling ;
misclassification
|
|
Abstract:
|
The assessment of Quality of Life (QoL) has become a standard component in many clinical trials. QoL, however, is an inherently subjective measure and, as such, prone to the placebo effect. The placebo effect has led to dramatic consequences on the clinical development of new therapeutic agents. A multivariate mixture regression modeling approach is proposed to assess the placebo effect in a placebo-controlled clinical trial. Simulation studies are conducted to examine the empirical behavior of the proposed method. The approach is illustrated with the analysis of QoL data from a phase III cardiovascular clinical trial.
|
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.