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Adaptive Experiment — Adaptive Experimental Design
An adaptive experiment is an experimental design in which pre-specified rules allow the protocol to be modified — such as reallocating participants to better-performing arms, stopping early for efficacy or futility, or changing sample size — based on accumulating interim data, while maintaining statistical validity. Adaptive designs are widely used in clinical trials, behavioural economics, and online platform testing to improve efficiency and ethics without sacrificing inferential rigour.
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Sources
- Chow, S. C., & Chang, M. (2008). Adaptive Design Methods in Clinical Trials. Chapman and Hall/CRC. ISBN: 978-1584886761
- U.S. Food and Drug Administration. (2019). Adaptive Designs for Clinical Trials of Drugs and Biologics: Guidance for Industry. FDA. link ↗
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Referenced by
Adaptive A/B testAdaptive AB DesignAdaptive ABA DesignAdaptive Control Group Experimental DesignAdaptive Field ExperimentAdaptive Full Factorial ExperimentAdaptive Laboratory ExperimentAdaptive Multi-Arm ExperimentAdaptive Multiple Baseline DesignAdaptive Natural ExperimentAdaptive Pretest-Posttest Experimental DesignAdaptive Randomized Controlled TrialCluster Randomized Adaptive ExperimentCluster Randomized Fractional Factorial ExperimentCrossover Adaptive ExperimentCrossover multi-arm experimentDouble-blind adaptive experimentMulti-arm experimentSingle-blind multi-arm experiment