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적응형 실험×다중 팔 실험×
분야실험설계실험설계
계열Process / pipelineProcess / pipeline
기원 연도1940s–1970s (sequential foundations); formalised in clinical and behavioural research by 1980s–2000s1990s–2000s (clinical formalization); multi-arm concept implicit in ANOVA-era factorial designs
창시자Abraham Wald (sequential analysis foundation); expanded by Robbins, Armitage, and othersDeveloped within clinical trials methodology; formalized by Parmar, Royston and colleagues (UK MRC CTU, early 2000s)
유형Experimental research designExperimental design
원전Chow, S. C., & Chang, M. (2008). Adaptive Design Methods in Clinical Trials. Chapman and Hall/CRC. ISBN: 978-1584886761Royston, P., Parmar, M. K. B., & Qian, W. (2003). Novel designs for multi-arm clinical trials with survival outcomes with an application in ovarian cancer. Statistics in Medicine, 22(14), 2239–2256. DOI ↗
별칭adaptive design, response-adaptive randomization, adaptive trial, adaptive randomizationmulti-arm trial, multiple-arm experiment, multi-group experiment, many-arm design
관련55
요약An 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.A multi-arm experiment simultaneously compares three or more treatment or intervention conditions — each called an arm — against a shared control or against one another. By testing multiple alternatives in a single study, it yields more information per participant than running separate two-group experiments sequentially, while controlling the overall Type I error rate through pre-specified comparison strategies.
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