[ABE-L] Workshop on Bayesian Biostatistics, 8 a 12/12/2014, por Emmanuel Lesafre (university of Hasselt, Belgium)

[clarice.demetrio em usp.br]

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 

  
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