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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Publicado en:	Clinical Trials Vol. 21; no. 6; pp. 689 - 701
Autores principales:	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
Formato:	equations & formulas research tables/charts Journal Article
Publicado:	Sage Publications, Ltd. Dec2024
Acceso en línea:	Ver este registro en EBSCOhost