Bayesian Data Analysis
Practical Data Analysis with BUGS using R
A short course taught by
Monday 13 - Friday 17 August 2012, Copenhagen
Bayesian inference has become increasingly important during the
last decade. This is largely attributable to the computational
possibilities that have emerged, notably the easy access to MCMC
Lyle Gurrin has developed a highly acclaimed course in Bayesian
data analysis for the Biostatistics
Collaboration of Australia which he has previously presented in
Stockholm and Copenhagen. The course is based on the
Data Analysis by Gelman et al. The course, like the book,
emphasises practice over theory.
The course will be run over 5 days, with alternating lectures and
practical computing sessions. We will work through several case
studies, each comprising a lecture and a laboratory session. Example
analyses will include meta-analysis of clinical trials, longitudinal
analysis and method comparison studies. Throughout the course we will
illustrate differences between classical and Bayesian approaches to
analysis of the same problems.
The practical part of the course will be based on the
language BUGS for
model specification, but we will primarily be using
implementation through the rjags package for R,
because this works the same way on Windows, Mac and Linux.
The emphasis in the course will be on illustrating how to take the
practical examples all the way from data formatting to the reporting
stage in terms of tabulations, graphics etc. Participants are
requested to bring their own laptops, we will provide instructions in
advance about what to install before the course.
The intended audience is biostatisticians, epidemiologists, and public
health scientists wishing to gain insight and practical experience
with Bayesian data analysis. The material in lectures is aimed at
students of biostatistics and covers the statistical theory at an
undergraduate level. The practical exercises will be fully scripted
and directed with three tutors on hand, so they should be manageable
also by those who are not experts in statistical theory and
The course will be limited to 25 participants.
- Format: Lectures and computer practicals.
- Programme: is here.
- Language: The course will be taught in English.
- Primary teachers:
Senior Lecturer in Biostatistics, Centre for Molecular,
Environmental, Genetic and Analytic (MEGA) Epidemiology, School of
Population Health, University of Melbourne, Australia.
- Teaching assistants:
Senior Statistician, Steno Diabetes Center, Copenhagen, Denmark and External Lecturer,
Department of Biostatistics, University of Copenhagen.
Claus T Ekstrøm,
Professor, Department og Biostatistics, University of Southern
Associate professor, Head, Department of Mathematical Sciences,
A. Gelman, J.B. Carlin, H.S. Stern & D.B. Rubin: Bayesian
Data Analysis. Chapman & Hall/CRC Press.
- Fee: 5,160 DKK (approx. 700 EUR)
- Course director: Bendix
Last modified: 1 January 2013, BxC