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Uji Klinis Acak Bayesian×Uji Klinis Acak Adaptif×
BidangEpidemiologiEpidemiologi
KeluargaProcess / pipelineProcess / pipeline
Tahun asal1980s–2000s (formal methodology consolidated ~2004–2006)Late 1990s–2000s (widespread adoption post-2010)
PencetusDonald A. Berry and David J. Spiegelhalter (applied Bayesian inference formally to RCT design)Donald Berry and colleagues; formalized by FDA guidance in 2010 and 2019
TipeRandomized experimental study with Bayesian inferenceExperimental clinical trial design
Sumber perintisSpiegelhalter, D. J., Abrams, K. R., & Myles, J. P. (2004). Bayesian Approaches to Clinical Trials and Health-Care Evaluation. Wiley. ISBN: 978-0471499756Berry, D. A. (2006). Bayesian clinical trials. Nature Reviews Drug Discovery, 5(1), 27–36. DOI ↗
AliasBayesian RCT, Bayesian adaptive trial, Bayesian clinical trial design, BRCTadaptive RCT, adaptive trial design, response-adaptive randomization trial, adaptive clinical trial
Terkait56
RingkasanA 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.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.
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ScholarGateBandingkan metode: Bayesian Randomized Clinical Trial · Adaptive Randomized Clinical Trial. Diakses 2026-06-18 dari https://scholargate.app/id/compare