IMPERIAL COLLEGE LONDON
Faculty of Medicine
Division of Primary Care and Population Health Sciences
Bayesian Hierarchical Models
26 - 28 September 2005
This course is designed to be of interest to researchers in statistics and biostatistics or those interested in quantitative applications in epidemiology, medicine, biological sciences, social sciences and environmental science, plus individuals with a general interest in understanding and applying advanced quantitative Bayesian methods. There is a large 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.
Summary of course content:
Fundamentals of Bayesian inference
Principles of Bayesian hierarchical modelling
Markov chain Monte Carlo methods and the Gibbs sampler
Hierarchical models in the analysis of epidemiological and biomedical data
Models for longitudinal data (hierarchical, autoregressive, non-linear)
Measurement error and missing data
A practical introduction to Bayesian model choice and criticism
Practical experience of using the WinBUGS software
Course Instructors:
Professor Sylvia Richardson, Dr Nicky Best, Dr Alex Lewin, Dr Dave Lunn,
Dr Maria De Iorio, Imperial College London
Course Organiser:
Professor Sylvia Richardson
Course Fee (inc. catering):
£750 (industry) £450 (academic, inc. non-profit organisations)
£300 (Imperial Staff and students)
Further details from: Wolfson Conference Centre
Imperial College School of Medicine
Hammersmith Hospital
Du Cane Road
London W12 0NN
Tel: +44 (0)20 8383 3117/3227/3245
Email: [log in to unmask]
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