A Unified Family of Covariate-Adjusted Response-Adaptive Designs Based on Efficiency and Ethics

• Activity Number: 635
• Type: Topic Contributed
• Date/Time: Thursday, August 13, 2015 : 8:30 AM to 10:20 AM
• Sponsor: Biopharmaceutical Section
• Author(s): Jianhua Hu and Hongjian Zhu* and Feifang Hu
• Companies: MD Anderson Cancer Center and The University of Texas School of Public Health and The George Washington University
• Keywords: Asymptotic properties ; clinical trial ; generalized linear models ; personalized medicine ; power ; response-adaptive randomization

Abstract

Response-adaptive designs are desirable because of its advantages in efficiency and medical ethics. Covariate information plays an important role in both design and analysis of clinical trials for personalized medicine. A challenge is how to incorporate covariate information in response-adaptive designs while considering issues of both efficiency and medical ethics. To address this problem, we propose a new and unified family of covariate-adjusted response-adaptive designs based on two general measurements of efficiency and ethics. In this talk, we will discuss the important properties of the proposed procedures.