Linganisha mbinu

	Jaribio la Kliniki la Kubatilishwa kwa Bayesian	Pragmatic randomized clinical trial
Nyanja	Epidemiolojia	Epidemiolojia
Familia	Process / pipeline	Process / pipeline
Mwaka wa asili	1980s–2000s (formal methodology consolidated ~2004–2006)	1967
Mwanzilishi	Donald A. Berry and David J. Spiegelhalter (applied Bayesian inference formally to RCT design)	Daniel Schwartz & Joseph Lellouch
Aina	Randomized experimental study with Bayesian inference	Interventional study design
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	Schwartz, D., & Lellouch, J. (1967). Explanatory and pragmatic attitudes in therapeutical trials. Journal of Chronic Diseases, 20(8), 637–648.
Majina mbadala	Bayesian RCT, Bayesian adaptive trial, Bayesian clinical trial design, BRCT	pragmatic RCT, effectiveness trial, real-world RCT, practical clinical 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 pragmatic randomized clinical trial (pragmatic RCT) is an interventional study that tests whether a treatment works under routine clinical conditions, as opposed to the tightly controlled setting of an explanatory trial. It prioritizes broad eligibility, flexible delivery, and patient-relevant outcomes to answer the question 'Does this treatment work in everyday practice?' rather than 'Can this treatment work under ideal circumstances?' The distinction between pragmatic and explanatory trials was formally articulated by Schwartz and Lellouch in 1967 and operationalized by the PRECIS tool in 2009.