Craig Anderson graduated with an Honours degree in Statistics from the University of Glasgow, and then obtained his PhD in Statistics within the same department under the supervision of Dr Duncan Lee and Dr Nema Dean. The title of his thesis was "Identifying Boundaries in Spatial Modelling". After completing his PhD, he moved to Australia to take up a position as a Postdoctoral Research Fellow at the University of Technology Sydney, working with Professor Louise Ryan as part of the ARC Centre of Excellence for Mathematical and Statistical Frontiers (ACEMS). Craig's main interests lie in statistics for health data; specifically spatial and spatio-temporal modelling of disease risk and the modelling of child growth trajectories.
The aim of this project is to investigate the relationship of growth rate and percentage of having diarrhoea (both in the first year of a child’s growth). We have selected fifteen studies. Besides of the two main variables as indicated, we also have their demographic data including some social economic status (SES) information. Both Multiple Regression and Meta-Analysis have been used for the analyses.
Invited talks, refereed proceedings and other conference outputs
Anderson, C., & Ryan L. M.
(2017). A Comparison of Spatio-Temporal Disease Mapping Approaches Including an Application to Ischaemic Heart Disease in New South Wales, Australia. International Journal of Environmental Research and Public Health. 14(2), 146-162. doi: 10.3390/ijerph14020146
Anderson, C., Lee D., & Dean N.
(2017). Spatial clustering of average risks and risk trends in Bayesian disease mapping. Biometrical Journal. 59(1), 41-56. doi: 10.1002/bimj.201600018