So sánh phương pháp

	Thí nghiệm thích ứng trong phòng thí nghiệm	Thiết kế thí nghiệm thích ứng
Lĩnh vực	Thiết kế thí nghiệm	Thiết kế thí nghiệm
Họ	Process / pipeline	Process / pipeline
Năm ra đời	1947 (sequential analysis foundations); adaptive laboratory applications widespread from 1990s	1940s–1970s (sequential foundations); formalised in clinical and behavioural research by 1980s–2000s
Người khởi xướng	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
Loại	Adaptive experimental design	Experimental research design
Công trình gốc	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
Tên gọi khác	adaptive lab experiment, sequential adaptive laboratory study, response-adaptive laboratory design, adaptive experimental laboratory design	adaptive design, response-adaptive randomization, adaptive trial, adaptive randomization
Liên quan	5	5
Tóm tắt	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.