There are still places available on the forthcoming Bayesian course below...
Bayesian Analysis of Small Area Health Data using WinBUGS/GeoBUGS
Start date:
23 Mar, 2015 to 25 Mar, 2015
Lecturers:
Dr Marta Blangiardo and Dr Ioannis Bakolis
Location:
Imperial College, London
United Kingdom
Use of Bayesian methods is becoming increasingly widespread in spatial epidemiology for analysing data with complex structure – for example, hierarchical data, spatial and temporal dependence, measurement error and so on. However, very few data analysts have any formal training in Bayesian methods. This three-day course aims to introduce quantitative researchers to the basic principles of Bayesian inference and simulation-based methods for estimating Bayesian models, and to then focus specifically on Bayesian methods for disease mapping and modelling of small area health data, and how to implement these methods using the WinBUGS/GeoBUGS software. There is a large practical component to this course with time for hands-on data analysis using a variety of examples in spatial epidemiology.
Course content:
• Key concepts for spatial epidemiology
• Introduction to Bayesian thinking and conjugate models
• Introduction to Markov Chain Monte Carlo Methods
• Hierarchical models, priors and model selection
• Bayesian spatial models for small area health data
• Ecological and hierarchical related regression models
• Bayesian space-time models for small area health data
• Model-based geostatistics for point data
• Hands-on experience of using WinBUGS/GeoBUGS software to fit Bayesian models for small area health data
Target audience:
Statisticians, data analysts, epidemiologists and quantitative health researchers who are interested in learning about Bayesian methods for modelling small area health data, and how to implement these methods using the WinBUGS/GeoBUGS. No previous experience of Bayesian methods or WinBUGS is necessary. However, attendees should have strong quantitative data analysis skills, including a good working knowledge of the practice and principles of linear and generalized linear models, and be familiar with standard statistical terminology and common probability distributions (normal, binomial, Poisson).
Course tutors:
This three day specialist workshop will be led by researchers from the MRC-HPA Centre for Environment and Health:
Dr Marta Blangiardo
Marta Blangiardo is a lecturer in Biostatistics at Imperial College London. Her key research areas are: Bayesian modelling of exposure to air pollutants, integration of air pollution concentration from different sources; Bayesian hierarchical models for combining individual and ecological data in epidemiological studies; Bayesian measurement error models.
Dr Ioannis Bakolis
Ioannis Bakolis is a Research Associate in Biostatistics at Imperial College London. His research involves development and application of hierarchical statistical methods in health and social science with particular interest in environmental epidemiology and the application of Bayesian hierarchical models to model small area health data.
The registration fees are as follows:
£250 for students
£360 for other academic/public sector
£500 for commercial/industry
To book please use the following link:
http://www5.imperial.ac.uk/medicine/coursebookings/WinBUGS_GeoBUGS_0315.html
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