1. Covariate Adjusted Designs for Combining Efficiency, Ethics and Randomness in Normal Response Trials
- Author
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Maroussa Zagoraiou, Alessandro Baldi Antognini, A. C. ATKINSON, A. GIOVAGNOLI, C. MAY, B. TORSNEY, A. Baldi Antognini, and M. Zagoraiou
- Subjects
Randomization ,Computer science ,Order (business) ,Adaptive design ,Covariate ,Econometrics ,Optimal allocation ,Randomness - Abstract
This paper deals with the problem of allocating patients to two competing treatments in the presence of covariates in order to achieve a good trade-off between efficiency, ethical concern and randomization. We propose a compound criterion that combines inferential precision and ethical gain by flexible weights depending on the unknown treatment effects. In the absence of treatment-covariate interactions, this criterion leads to a locally optimal allocation which does not depend on the covariates and can be targeted by a suitable implementation of the doubly-adaptive biased coin design aimed at balancing the roles of randomization, ethics and information. Some properties of the suggested procedure are described.
- Published
- 2010