Bayesian Hierarchical Models in Biostatistics
University of New South Wales, Sydney, Australia
18 - 19 July 2005
The School of Mathematics, UNSW, proudly presents a two day workshop on
Bayesian Hierarchical Models in Biostatistics to be held at UNSW on 18 -
19 July 2005. It is a satellite course to the AMSI sponsored Recent
Advances in Biostatistics, Bioinformatics and Markov chain Monte Carlo.
The course instructors will be:
Prof. Sylvia Richardson (Imperial College, London, UK)
Prof. Peter Green (Bristol University, UK).
The workshop will provide a first class introduction to the powerful ideas
of Bayesian hierarchical modelling and associated computations, together
with hands on experience of running the Winbugs software. This course is
designed to help practitioners get started on using this methodology to
solve a large number of applied problems.
This course will be of interest to researchers in statistics and
biostatistics or those involved in quantitative applications in
epidemiology, medicine, biological sciences and environmental science,
plus individuals with a general interest in understanding and applying
advanced quantitative Bayesian methods. There is a sizable practical
component to this course with time for hands-on data analysis. The course
assumes a good grasp of basic statistics, including linear and generalised
linear regression analysis.
The workshop will run from 9:30am - 5:30pm each day, with breaks for lunch
and coffee. The cost of the course will be
Academic Institutions -- $700 ($800 after 15th June, 2005)
All other Institutions -- $900 ($1000 after 15th June, 2005)
which includes lunch, coffee and course notes.
COURSE WEBSITE
http://www.maths.unsw.edu.au/~scott/symposium/workshop-pjgsr.html
COURSE CONTENT
* Basics of Bayesian inference;
* Principles of Bayesian hierarchical modelling;
* Introduction to Markov chain Monte Carlo methods and the Gibbs
sampler;
* Hierarchical models in the analysis of epidemiological and
biomedical data;
* Models for longitudinal data;
* Measurement error and missing data;
* Spatial modelling and disease mapping;
* Practical experience of using the WinBUGS software.
COURSE INSTRUCTORS
Sylvia Richardson is Professor of Biostatistics in the Department of
Epidemiology and Public Health at Imperial since 2000 and heads the
Biostatistics group after being "Directeur de Recherches" at the French
Medical Research Institute INSERM for 20 years. She has an international
reputation for methodological research in Bayesian methods, spatial
statistics and complex Bayesian modelling in epidemiology and genomics.
She has co-edited two key texts on complex Bayesian modelling and has over
80 publications in statistical and epidemiological journals. She is
President of the International Society for Bayesian Analysis (ISBA).
Together with her colleague Nicky Best, she has been involved in giving
short courses in the UK and internationally on Bayesian hierarchical
models and their implementation in Winbugs for a number of years.
Peter Green has been Professor of Statistics at the University of Bristol
since 1989, following earlier academic posts at Bath, Durham and
Wisconsin. His current research interests are in Bayesian inference in
complex stochastic systems, Markov chain Monte Carlo methodology;
statistical genomics, especially gene expression analysis, and spatial
statistics and image analysis, with medical applications. This research
includes both contributions to the fundamental methodology of the
discipline, and tailored application of statistical ideas to challenging
problems in fields of application ranging from agricultural science and
astronomy, through medical imaging to microarray data analysis. Past work
has been recognised through the award by the Royal Statistical Society of
its Guy medals in Bronze (1984) and Silver (1999), with Fellowship of the
Institute of Mathematical Statistics (1991) and by election as a Fellow of
the Royal Society in 2003. He has held a number of leadership roles within
the statistics community, including chairmanship of an ESF Network
(1992-95), and of the Committee of Professors of Statistics (1995-98) and
as President of the Royal Statistical Society (2001-03).
ORGANISERS
Yanan Fan, David Nott, Scott Sisson (School of Mathematics, UNSW)
Contact Email: biomcmc(at)maths.unsw.edu.au
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Scott Sisson
Department of Statistics Phone: +61-2-938-57027
School of Mathematics Fax: +61-2-938-57123
University of New South Wales Web: www.maths.unsw.edu.au/~scott
Sydney 2052, Australia
UNSW CRICOS Providor Code: 00098G
