পদ্ধতির তুলনা করুন

	Adaptive Randomized Clinical Trial	বেয়েশীয় র্যা ন্ডমাইজড ক্লিনিক্যাল ট্রায়াল
ক্ষেত্র	মহামারীবিদ্যা	মহামারীবিদ্যা
পরিবার	Process / pipeline	Process / pipeline
উদ্ভবের বছর	Late 1990s–2000s (widespread adoption post-2010)	1980s–2000s (formal methodology consolidated ~2004–2006)
প্রবর্তক	Donald Berry and colleagues; formalized by FDA guidance in 2010 and 2019	Donald A. Berry and David J. Spiegelhalter (applied Bayesian inference formally to RCT design)
ধরন	Experimental clinical trial design	Randomized experimental study with Bayesian inference
মৌলিক উৎস	Berry, D. A. (2006). Bayesian clinical trials. Nature Reviews Drug Discovery, 5(1), 27–36.	Spiegelhalter, D. J., Abrams, K. R., & Myles, J. P. (2004). Bayesian Approaches to Clinical Trials and Health-Care Evaluation. Wiley. ISBN: 978-0471499756
অপর নাম	adaptive RCT, adaptive trial design, response-adaptive randomization trial, adaptive clinical trial	Bayesian RCT, Bayesian adaptive trial, Bayesian clinical trial design, BRCT
সম্পর্কিত	6	5
সারসংক্ষেপ	An adaptive randomized clinical trial (adaptive RCT) is a prospective experimental study that uses pre-specified rules to modify one or more trial aspects — such as sample size, allocation ratios, or treatment arms — based on accumulating data collected during the trial itself, while maintaining statistical validity and integrity of the study.	A Bayesian randomized clinical trial (Bayesian RCT) combines the rigour of random treatment allocation with Bayesian statistical inference, allowing researchers to incorporate prior evidence and update beliefs continuously as trial data accumulate. Unlike the classical frequentist RCT, it yields direct probability statements about treatment effects and supports pre-specified adaptive stopping rules based on posterior probabilities.