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HOST
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Date: 16th February 2011
Duration: 1 day (9.30am - 5:00pm)
Level: Introductory
Location: The Cathie Marsh Centre for Census and Survey Research (CCSR), University of Manchester.
**** Please note that this course is not taken place at Imperial College London ****
*** Training Bursaries are available to assist eligible participants with the costs of attending these courses ***
The ESRC National Centre for Research Methods (NCRM) is offering training bursaries up to £1000 to enable staff in the UK social science community engaged in research, teaching research methods or supervising research to update their skills. Contract researchers working in HEIs are also eligible for the bursaries. Please note that the bursary scheme is open for applications throughout the year i.e. there are no deadlines for applications. For further information about the bursaries and to apply please see http://www.ncrm.ac.uk/about/funding/training/
Professor Nicky Best, Imperial College London.
Use of Bayesian methods is becoming increasingly widespread within quantitative social and health sciences. This one-day course aims to introduce quantitative researchers to the basic principles of Bayesian inference and simulation-based methods for estimating Bayesian models, and to highlight some of the potential benefits that a Bayesian approach can offer. No previous experience of Bayesian methods or WinBUGS/OpenBUGS is necessary, although familiarity with standard statistical terminology and a good grasp of the basic principles of standard linear and generalised linear regression models will be assumed.
The registration form for the short course can be found at: http://www.ccsr.ac.uk/courses/bayesian/
An advanced Bayesian hierarchical modelling course may also be of interest.
Course note can be found here and practical questions here. Data for the practicals can be downloaded here.