IMPERIAL COLLEGE, LONDON
Faculty of Medicine
Division of Primary Care and Population Health Sciences

Course: Bayesian Hierarchical Models

21 - 22 September 2006

This intermediate level 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 some previous experience of Bayesian concepts, and a good grasp of basic statistics, including linear and generalised linear regression analysis. It is recommended that students should have had a minimum contact with the WinBUGS software although this is not essential. Students with no previous knowledge of Bayesian inference should attend the 2-day introductory course (there will be only a small overlap between the 2 courses restricted to the first morning, so it is possible to follow both courses consecutively if desired)

Summary of course content

Course Instructors

Professor Sylvia Richardson, Professor Nicky Best, Dr John Molitor, Imperial College London

Course Organiser

Professor Sylvia Richardson

Course Fee (inc. catering)

£540 (industry) £360 (academic, inc. non-profit organisations) £240 (Imperial Staff and students)

Participants paying industry rates are entitled to 25% discount on joint fees if registering also for the Introduction to Bayesian Analysis using WinBUGS short course.

Programme

Programme: Bayesian Hierarchical Models (PDF)

Booking form

Bayesian Hierarchical Models (Excel)
Combined booking form: Introduction to Bayesian Analysis using WinBUGS and Bayesian Hierarchical Models (Excel)

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: wcc@imperial.ac.uk
Web: www.imperial.ac.uk/medicine/about/resources/wcc/default.html