পদ্ধতির তুলনা করুন

	ডাবল-ব্লাইন্ড অ্যাডাপ্টিভ এক্সপেরিমেন্ট	অভিযোজিত এলোমেলো নিয়ন্ত্রিত পরীক্ষা
ক্ষেত্র	পরীক্ষামূলক নকশা	পরীক্ষামূলক নকশা
পরিবার	Process / pipeline	Process / pipeline
উদ্ভবের বছর	Conceptual roots 1970s–1990s; regulatory codification 2004–2019	1980s–2000s (formalized; earlier sequential testing roots from Wald, 1947)
প্রবর্তক	Formalized through FDA adaptive design guidance and work by Scott Berry, Donald Berry, and colleagues	Donald Berry and others; foundational adaptive trial methods developed through 1980s–2000s biostatistics literature
ধরন	Experimental design combining blinding and adaptive modification	Experimental design — adaptive variant of RCT
মৌলিক উৎস	U.S. Food and Drug Administration. (2019). Adaptive Designs for Clinical Trials of Drugs and Biologics: Guidance for Industry. FDA.	Chow, S.-C., & Chang, M. (2008). Adaptive Design Methods in Clinical Trials. Chapman & Hall/CRC. ISBN: 978-1584887690
অপর নাম	double-blind adaptive design, blinded adaptive trial, double-blind adaptive RCT, adaptive double-blind study	Adaptive RCT, Response-adaptive RCT, Adaptive clinical trial, Platform trial
সম্পর্কিত	4	6
সারসংক্ষেপ	A double-blind adaptive experiment combines two powerful design features: double-blinding, which conceals treatment assignment from both participants and outcome assessors to prevent bias, and adaptive modification, which allows pre-specified changes to the trial's course — such as sample size re-estimation, allocation ratio shifts, or arm dropping — based on accumulating interim data. The result is a rigorous, bias-protected design that can respond to emerging evidence without compromising inferential validity.	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.