方法对比

	自适应实验室实验	自适应实验
领域	实验设计	实验设计
方法族	Process / pipeline	Process / pipeline
起源年份	1947 (sequential analysis foundations); adaptive laboratory applications widespread from 1990s	1940s–1970s (sequential foundations); formalised in clinical and behavioural research by 1980s–2000s
提出者	Rooted in sequential analysis (Abraham Wald, 1947); adaptive clinical/lab designs formalized by Berry and colleagues (1990s–2000s)	Abraham Wald (sequential analysis foundation); expanded by Robbins, Armitage, and others
类型	Adaptive experimental design	Experimental research design
开创性文献	Berry, D. A. (2006). Bayesian clinical trials. Nature Reviews Drug Discovery, 5(1), 27–36.	Chow, S. C., & Chang, M. (2008). Adaptive Design Methods in Clinical Trials. Chapman and Hall/CRC. ISBN: 978-1584886761
别名	adaptive lab experiment, sequential adaptive laboratory study, response-adaptive laboratory design, adaptive experimental laboratory design	adaptive design, response-adaptive randomization, adaptive trial, adaptive randomization
相关	5	5
摘要	An adaptive laboratory experiment is a controlled experimental design conducted in a laboratory setting where pre-specified decision rules allow modifications to the study — such as sample size, treatment allocation, or stopping criteria — based on accumulating data. Unlike fixed designs, adaptive designs incorporate planned interim analyses that permit the experiment to respond to emerging evidence while maintaining statistical validity and Type I error control.	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.