Speaker
Daniel Jeske
(University of California, Riverside)
Description
A mixture of a distribution of responses from untreated patients and a shift of that distribution is a useful model for the responses from a group of treated patients. The mixture model accounts for the fact that not all the patients in the treated group will respond to the treatment and their responses follow the same distribution as the responses from untreated patients. The treatment effect in this context consists of both the fraction of the treated patients that are responders and the magnitude of the shift in the distribution for the responders. In this talk, we investigate the design and analysis of a RCT that uses a two-component mixture model for the observations in the treatment group.
| Classification | Both methodology and application |
|---|---|
| Keywords | Process Monitoring, Spatial Modeling, Mixture Models |
Primary author
Daniel Jeske
(University of California, Riverside)
Co-authors
Mr
Bradley Lubich
(University of California)
Dr
Weixin Yao
(University of California )