方法对比

	贝叶斯III期临床试验	贝叶斯随机对照试验
领域	流行病学	流行病学
方法族	Process / pipeline	Process / pipeline
起源年份	1990s–2000s (widespread application)	1980s–2000s (formal methodology consolidated ~2004–2006)
提出者	Donald A. Berry; David J. Spiegelhalter (formalization in clinical context)	Donald A. Berry and David J. Spiegelhalter (applied Bayesian inference formally to RCT design)
类型	Confirmatory randomized controlled trial with Bayesian inference	Randomized experimental study with Bayesian inference
开创性文献	Spiegelhalter, D. J., Abrams, K. R., & Myles, J. P. (2004). Bayesian Approaches to Clinical Trials and Health-Care Evaluation. Wiley. ISBN: 978-0471499756	Spiegelhalter, D. J., Abrams, K. R., & Myles, J. P. (2004). Bayesian Approaches to Clinical Trials and Health-Care Evaluation. Wiley. ISBN: 978-0471499756
别名	Bayesian confirmatory trial, Bayesian RCT Phase III, Bayesian pivotal trial, BayesCT	Bayesian RCT, Bayesian adaptive trial, Bayesian clinical trial design, BRCT
相关	5	5
摘要	A Bayesian Phase III clinical trial is a large-scale, confirmatory randomized controlled trial that uses Bayesian statistical inference rather than conventional frequentist hypothesis testing to evaluate whether an experimental treatment meets pre-defined efficacy and safety thresholds. By combining prior evidence with accumulating trial data, it quantifies the probability that the treatment effect exceeds a clinically meaningful threshold, enabling more transparent decision-making under uncertainty.	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.