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CPS2028 Ayon M.
been established that such ethical gain prevails without significantly
compromising on the statistical power of the Wald test for the difference in
the partial likelihood based covariate-adjusted treatment effects. Extensive
simulation studies have established that the balance between ethical gain and
statistical efficiency in estimating treatment effects is achieved most with the
CARA design using the doubly-adaptive biased coin design. However, the
efficient randomised adaptive design works best if the variability of the
allocation procedure is the sole criterion for evaluation.
The mertis of the proposed designs have also been highlighted by
redesigning an existing clinical trial from Sverdlov, Rosenberger and Ryeznik
(2013), which is intended to be discussed during the talk in the congress.

References
1. Hu, F. and Zhang, L-X. (2004), Asymptotic properties of doubly-adaptive
biased coin designs for multitreatment clinical trials, The Annals of
Statistics 32, 268–301.
2. Hu, F., Zhang, L-X, and He, X. (2009). Efficient randomized adaptive
designs, The Annals of Statistics 37, 2543–2560.
3. Rosenberger, W.F. and Sverdlov, O. (2008), Handling covariates in the
design of clinical trials, Statistical Science 23, 404–419.
4. Rosenberger, W.F., Vidyashankar, A.N., and Agarwal, D.K. (2001),
Covariate-adjusted response-adaptive designs for binary response,
Journal of Biopharmaceutical Statistics 11, 227–236.
5. Sverdlov, O., Rosenberger, W.F., and Ryeznik, Y. (2013), Utility of
covariate-adjusted response-adaptive randomization in survival trials.
Statistics in Biopharmaceutical Research 5,38–53.

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