Bayesian spatial epidemiology: profiling geographic variations in chronic disease

13 November 2015

Time: 2:00 - 3:00pm
Venue: GE Fogg Lecture Theatre, Mile End Campus

From this semester on, a Bayesian seminar series is launched at QMUL. It is targeted to postgraduate students and early career researchers who would like to gain experience with Bayesian statistics and reasoning. The purpose of the bi-weekly meetings is to learn about a flexible methodology which makes use of all available information to produce clear and direct inferences. Every second Friday, one speaker from QMUL or the University of London will give a basic introduction to one aspect of the Bayesian approach.

Our next meeting focuses on spatial epidemiology:

Bayesian spatial epidemiology: profiling geographic variations in chronic disease by Prof. Peter Congdon from the School of Geography (QMUL)

WHEN: Fri, 13th November 2 - 3 pm
WHERE: GE Fogg Lecture Theatre (Mile End Campus)

"This talk will review some of the main themes of spatial epidemiology, and what benefit Bayesian methods can bring to analysing geographic data on health, with technical detail kept to a minimum. It will focus on analysis of small area health data and multilevel survey data for chronic disease, with a number of case studies: explaining suicide variations in US counties; cardiovascular prevalence estimation for micro-areas based on multilevel models applied to the BRFSS; and modelling geographic variation in years spent with multiple long term conditions. Some discussion of popular computing options will be included."

All are welcome. The seminar consists of an app. 45 min long lecture and discussion.

No need to book - just turn up!