- Past Members of ACEMS
- Earl Duncan
Dr Earl Duncan
Queensland University of Technology
Earl Duncan is an ACEMS Associate Investigator at the Queensland University of Technology. He has previously worked for the Queensland Government as a data analyst and also the Wesley Medical Research Institute as a biostatistician. His research has made contributions to prostate cancer and breast cancer research, with recent efforts focusing on spatial modelling through Bayesian hierarchical models. Earl's current project is ongoing development of that Australian Cancer Atlas which was launched on 25 September 2018. This project is joint work with the Cancer Council Queensland and the QUT Visualisation and eResearch (ViseR) team, as well as other investigators and stakeholders.
Bayesian hierarchical models
Generalised linear mixed models
search and optimisation algorithms
Bachelor of Business
Bachelor of Mathematics
Bachelor of Applied Science (honours)
Duncan, EW., Cramb S., Baade PD., K M., T S., & Aitken J. F. (2020). Developing a Cancer Atlas using Bayesian Methods: A Practical Guide for Application and Interpretation.
Invited talks, refereed proceedings and other conference outputs
Cramb, S., Duncan EW., Baade PD., & Mengersen KL. (2019). Computing the Australian Cancer Atlas: getting it ‘just right’. The 12th International Conference on Monte Carlo Methods and Applications.
Jahan, F., Duncan EW., Cramb S., Baade P. D., & Mengersen KL. (2018). Making More of Spatial Maps: A Bayesian meta-analysis approach. Workshop on Young Bayesians and Big Data for Social Good.
Aswi, A.., Cramb S., Duncan EW., & K M. (2020). Evaluating the impact of a small number of areas on spatial estimation. International Journal of Health Geographics . 19(1), 39. doi: 10.1186/s12942-020-00233-1
Duncan, EW., White N., & Mengersen KL. (2016). Bayesian spatiotemporal modelling for identifying unusual and unstable trends in mammography utilisation. BMJ Open. 6(5), doi: 10.1136/bmjopen-2015-010253
Technical reports and unrefereed outputs