American Statistical Association
This is joint work with Drs. Bruce Levin and Ken Cheung. When several treatment regimens are possible candidates for a large phase III study, but too few resources are available to evaluate each relative to a standard, conducting a multi-arm randomized selection trial is a useful strategy to remove inferior treatments from further consideration. When the study has a relatively quick endpoint, frequent interim monitoring of the trial becomes ethically and practically appealing. In this paper, we propose a class of sequential procedures designed to select a subset of treatments that offer clinically meaningful improvements over the control group, or to declare that no such subset exists. The proposed procedures are easy to implement, allow sequential elimination of inferior treatments and sequential recruitment of promising treatments while preserving the type I error rate, and can be applied on a flexible monitoring schedule in terms of calendar time.
Dr. Cheng-Shiun Leu is an Assistant Professor of Clinical Biostatistics at Columbia University. He has collaborated with investigators at the HIV Center for Clinical and Behavioral Studies on study design and planning, consultation for ongoing projects, and conducting statistical analysis. His primary research interest concerns the development methodologies for sequential ranking and identification problems.
|Date:||Tuesday, November 9, 2010|
|Time:||3:00 - 4:00 P.M.|
New York State Psychiatric Institute
1051 Riverside Drive
6th Floor Multipurpose Room (6602)
New York, New York