[ABE-L] Workshop on Bayesian Biostatistics, 8 a 12/12/2014, por Emmanuel Lesafre (university of Hasselt, Belgium)
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Bayesian Biostatistics
Emmanuel Lesaffre
L-Biostat, KU Leuven, Leuven, Belgium
Abstract
Bayesian methods have seen an explosion in developments and applications in the last decade. This course gives the necessary background to understand the Bayesian approach. A great variety of examples illustrate the Bayesian methods, such as: diagnostic tests, meta-analyses, longitudinal studies, disease maps, etc. Practical exercises are based on WinBUGS, OpenBUGS, JAGS and their R-interfaces 2WinBUGS, R2jags, etc.
Learning outcomes
· Understanding applications of the Bayesian approach in the medical literature
· Working with WinBUGS, OpenBUGS and R2WinBUGS, R2jags, etc. for performing Bayesian analyses
· Understand the difference (advantages and disadvantages) of the Bayesian versus the frequentist approach
· Extending the complexity of your analyses above what can be done with the frequentist approach
Who should attend?
(Bio)-statisticians, but also epidemiologists and researchers in biomedical, veterinary, epidemiology, pharmacology sciences etc with a good statistical background.
Source:
Lesaffre, E. and Lawson, A. Bayesian Biostatistics , 2102, John Wiley & Sons, New York
Informações sobre inscrições dentro em breve.
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