Seminar by Dr. Craig Anderson – Identifying Boundaries in Spatial Modelling

Date:  Tuesday, 26 May 2015

6:00pm – 6:30pm: Refreshments

6:30pm – 7:30pm: Lecture
7:45pm – onwards: Dinner (at a nearby restaurant, TBC)

Room 002, Level 5, University of Technology, Sydney – Building 8 (Dr Chau Chak Wing Building), 14 Ultimo Rd, Haymarket NSW 2000

Dr. Craig Anderson
University of Technology, Sydney
Identifying Boundaries in Spatial Modelling
Disease mapping is the field of spatial epidemiology interested in characterising how disease risk across different geographical regions. A key aim is to identify regions which exhibit significantly elevated disease risk levels, thus allowing public health interventions to be focused on these areas.  Bayesian models utilising a so-called Conditional Auto-Regressive (CAR) structure are typically used in these settings.  These models usually assume a spatially smooth risk surface across the entire region, but this is not necessarily realistic in practice.  Using a case study of respiratory hospital admissons in Glasgow, Scotland, a city with many localised inequalities, I will present two alternative approaches which use clustering techniques to allow for discontinuities in the spatial structure.   One of these approaches utilised Integrated Nested Laplace Approximation (INLA), and I will touch on its use as a computationally efficient tool for approximate Bayesian inference.

Biography of Dr. Craig Anderson

Craig Anderson graduated with an Honours degree in Statistics from the University of Glasgow, and then achieved his PhD in Statistics within the same department.  After completing his PhD, he moved to Australia to take up a position as a Postdoctoral Research Fellow at the University of Technology, Sydney.  He is interested in statistics for health data, with a particular focus on spatial and spatio-temporal modelling of disease risk.

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