A comparison of computational algorithms for the Bayesian analysis of clinical trials.

Background: Clinical trials are increasingly using Bayesian methods for their design and analysis. Inference in Bayesian trials typically uses simulation-based approaches such as Markov Chain Monte Carlo methods. Markov Chain Monte Carlo has high computational cost and can be complex to implement. T...

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Bibliographic Details

Published in:	Clinical Trials Vol. 21; no. 6; pp. 689 - 701
Main Authors:	Chen, Ziming, Berger, Jeffrey S, Castellucci, Lana A, Farkouh, Michael, Goligher, Ewan C, Hade, Erinn M, Hunt, Beverley J, Kornblith, Lucy Z, Lawler, Patrick R, Leifer, Eric S, Lorenzi, Elizabeth, Neal, Matthew D, Zarychanski, Ryan, Heath, Anna
Format:	equations & formulas research tables/charts Journal Article
Published:	Sage Publications, Ltd. Dec2024
Online Access:	View this record in EBSCOhost