Abstract
Outcome- or response-adaptive allocation methods are used to adjust randomization probabilities in clinical trials based on observations from previously accrued patients. These methods aim to achieve one of several allocation goals, which have included maximizing statistical power, balancing for covariates, and maximizing treatment benefit. In the latter case, adaptive allocation strategies aim to treat patients as ethically as possible, often by minimizing the expected number of treatment failures. These “optimal designs” achieve this minimization through algorithms and functions of success probabilities in each group of subjects.
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Sabo, R.T. (2018). Response-Adaptive Allocation for Binary Outcomes: Bayesian Methods from the BASS Conference. In: Peace, K., Chen, DG., Menon, S. (eds) Biopharmaceutical Applied Statistics Symposium . ICSA Book Series in Statistics. Springer, Singapore. https://doi.org/10.1007/978-981-10-7829-3_6
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DOI: https://doi.org/10.1007/978-981-10-7829-3_6
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