So sánh phương pháp

	Thí nghiệm thích ứng trong phòng thí nghiệm	Thử nghiệm đối chứng ngẫu nhiên 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	1980s–2000s (formalized; earlier sequential testing roots from Wald, 1947)
Người khởi xướng	Rooted in sequential analysis (Abraham Wald, 1947); adaptive clinical/lab designs formalized by Berry and colleagues (1990s–2000s)	Donald Berry and others; foundational adaptive trial methods developed through 1980s–2000s biostatistics literature
Loại	Adaptive experimental design	Experimental design — adaptive variant of RCT
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 & Hall/CRC. ISBN: 978-1584887690
Tên gọi khác	adaptive lab experiment, sequential adaptive laboratory study, response-adaptive laboratory design, adaptive experimental laboratory design	Adaptive RCT, Response-adaptive RCT, Adaptive clinical trial, Platform trial
Liên quan	5	6
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 randomized controlled trial (adaptive RCT) is an experimental design in which pre-specified rules allow modifications to the trial while it is ongoing — such as changing allocation ratios, dropping underperforming arms, or stopping early for efficacy or futility — based on accumulating interim data. These adaptations are planned before the trial starts and governed by statistical rules to preserve Type I error control and validity.