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A few places remain for the Bayesian Biostatistics short courses at MUSC 
, Charleston, USA

A course sequence of 2 workshops will be presented during the MUSC 
Summer Institute on Research Methodology. The sequence will consist of 
an Introductory Bayesian Biostatistics course (IBB), and an Advance 
Bayesian Biostatistics course (ABB). The IBB course is designed to 
provide a basic grounding in Bayesian modeling methods and hands-on 
experience with WinBUGS, INLA and demonstration of SAS capabilities. The 
ABB course will cover specific application areas in more depth and is 
designed to be a continuation of the IBB course.

Bayesian Biostatistics: an Introduction (May 11th - 12th)

Topics covered
* What is Bayesian Biostatistics;
* Bayesian Basics:  likelihood, priors, posterior
* Hierarchical models;  DAGS;   Posterior sampling; MCMC;
* Examples comparing  conventional  and Bayesian analyses will be covered
* Demo of basic examples in  WinBUGS and SAS
* Hands – on with R and WinBUGS
* Random effect models: LMM and GLMM
* Other software: R2WinBUGS, OpenBUGS, BRugs, JAGS, INLA

Bayesian Biostatistics: Advanced (May 14th – 15th)

Topics covered
* Parametric survival modeling and cox regression
* Longitudinal modeling
* Measurement error
* Handling missing data
- Forms of missingness and solutions
- Joint models for drop-out
* Special topics:
- Imaging/disease mapping
- Variable selection
- INLA examples

Presenters:
Professor Andrew B. Lawson
Professor  Mulugeta Gebregziabher

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This is one of the workshops in the Summer Institute held at MUSC in May 
2015
For more details of the courses available please refer to:

Registration:
Course fee:  The IBB course fee includes the text,  Lesaffre, E. and 
Lawson, A. B. (2012) Bayesian Biostatistics, Wiley ,
New York from which many examples are taken. The fee is $600.
The fee for the ABB course is $600.   If both courses are attended then 
the fee is discounted to $1000.

Registration forms and brochure are available at:
  http://academicdepartments.musc.edu/phs/docs/SummerInstitute_2015.pdf

Email enquiries to June Watson:  [log in to unmask]

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