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Double-Blind Adaptive Experiment — Double-Blind Adaptive Experimental Design

A double-blind adaptive experiment combines two powerful design features: double-blinding, which conceals treatment assignment from both participants and outcome assessors to prevent bias, and adaptive modification, which allows pre-specified changes to the trial's course — such as sample size re-estimation, allocation ratio shifts, or arm dropping — based on accumulating interim data. The result is a rigorous, bias-protected design that can respond to emerging evidence without compromising inferential validity.

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Sources

  1. U.S. Food and Drug Administration. (2019). Adaptive Designs for Clinical Trials of Drugs and Biologics: Guidance for Industry. FDA. link
  2. Berry, S. M., Carlin, B. P., Lee, J. J., & Muller, P. (2010). Bayesian Adaptive Methods for Clinical Trials. CRC Press. ISBN: 9781439825488

Related methods

ScholarGateDouble-blind adaptive experiment (Double-Blind Adaptive Experimental Design). Retrieved 2026-06-04 from https://scholargate.app/en/experimental-design/double-blind-adaptive-experiment