A New Family of Covariate-Adjusted Response Adaptive Designs and their Asymptotic Properties

Abstract

It is often important to incorporating covariate information in the design of clinical trials. In literature, there are many designs of using stratification and covariate-adaptive randomization to balance on certain known covariate. Recently Zhang, Hu, Cheung and Chan (2007) have proposed a family of covariate-adjusted response-adaptive (CARA) designs and studied their asymptotic properties. However, these CARA designs often have high variabilities. In this paper, we propose a new family of covariate-adjusted response-adaptive (CARA) designs. We show that the new designs have smaller variabilities and therefore more efficient.

References in corpus (2)

• Asymptotic Properties of Covariate-Adjusted Adaptive Designs
• Efficient randomized-adaptive designs

Cited by in corpus (1)

• Multi-objective optimal designs in comparative clinical trials with covariates: The reinforced doubly adaptive biased coin design