So sánh phương pháp

	Thiết kế thí nghiệm thích ứng	Thí nghiệm đa nhánh
Lĩnh vực	Thiết kế thí nghiệm	Thiết kế thí nghiệm
Họ	Process / pipeline	Process / pipeline
Năm ra đời	1940s–1970s (sequential foundations); formalised in clinical and behavioural research by 1980s–2000s	1990s–2000s (clinical formalization); multi-arm concept implicit in ANOVA-era factorial designs
Người khởi xướng	Abraham Wald (sequential analysis foundation); expanded by Robbins, Armitage, and others	Developed within clinical trials methodology; formalized by Parmar, Royston and colleagues (UK MRC CTU, early 2000s)
Loại	Experimental research design	Experimental design
Công trình gốc	Chow, S. C., & Chang, M. (2008). Adaptive Design Methods in Clinical Trials. Chapman and Hall/CRC. ISBN: 978-1584886761	Royston, 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.
Tên gọi khác	adaptive design, response-adaptive randomization, adaptive trial, adaptive randomization	multi-arm trial, multiple-arm experiment, multi-group experiment, many-arm design
Liên quan	5	5
Tóm tắt	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.	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.