[Forum SIS] Bayesian Analysis of Small Area Health Data using WinBUGS/GeoBUGS

[Michela Cameletti]

Segnalo ai membri della lista SIS il corso in oggetto, scusandomi per
l'eventuale invio multiplo.

Cordiali saluti,
Michela Cameletti

************************************************************************


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, St mary's Campus, Paddington, 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 <http://www.environment-health.ac.uk/>:





*Dr Marta Blangiardo*
<http://www1.imperial.ac.uk/medicine/people/m.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* <http://www1.imperial.ac.uk/medicine/people/n.best/>* 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


-- 
Michela Cameletti

*Dept. of​ ​Management, Economics and Quantitative Methods*
Università degli Studi di Bergamo
Via dei Caniana 2 - 24127 Bergamo
​(Italy)​


Tel.: + 39 035 205 2519
@: michela.cameletti at unibg.it
www.unibg.it/pers/?michela.cameletti
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://www.stat.unipg.it/pipermail/sis/attachments/20150218/70c9eb33/attachment-0001.html>