Linganisha mbinu

	Jaribio la Kliniki la Kubatilishwa kwa Bayesian	Jaribio la Kliniki la Kubahatisha (RCT)
Nyanja	Epidemiolojia	Epidemiolojia
Familia	Process / pipeline	Process / pipeline
Mwaka wa asili	1980s–2000s (formal methodology consolidated ~2004–2006)	1948 (first rigorously conducted RCT — MRC streptomycin trial)
Mwanzilishi	Donald A. Berry and David J. Spiegelhalter (applied Bayesian inference formally to RCT design)	Austin Bradford Hill; MRC Streptomycin Trial team
Aina	Randomized experimental study with Bayesian inference	Interventional experimental study
Chanzo asilia	Spiegelhalter, D. J., Abrams, K. R., & Myles, J. P. (2004). Bayesian Approaches to Clinical Trials and Health-Care Evaluation. Wiley. ISBN: 978-0471499756	Friedman, L. M., Furberg, C. D., DeMets, D. L., Reboussin, D. M., & Granger, C. B. (2015). Fundamentals of Clinical Trials (5th ed.). Springer. ISBN: 978-3319185385
Majina mbadala	Bayesian RCT, Bayesian adaptive trial, Bayesian clinical trial design, BRCT	RCT, randomized controlled trial, randomised controlled trial, clinical randomized trial
Zinazohusiana	5	6
Muhtasari	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.	A randomized clinical trial (RCT) is an experimental study design in which participants are randomly assigned to an intervention group or a control group, then followed prospectively to compare outcomes. Random allocation is the defining feature: it distributes known and unknown confounders across groups by chance, making the RCT the strongest individual study design for establishing causal efficacy of a treatment or intervention under controlled conditions.