Spatio-temporal modelling of cancer data in Queensland using Bayesian methods

Cramb, Susanna M. (2015) Spatio-temporal modelling of cancer data in Queensland using Bayesian methods. PhD by Publication, Queensland University of Technology.


Cancer is the leading contributor to the disease burden in Australia. This thesis develops and applies Bayesian hierarchical models to facilitate an investigation of the spatial and temporal associations for cancer diagnosis and survival among Queenslanders. The key objectives are to document and quantify the importance of spatial inequalities, explore factors influencing these inequalities, and investigate how spatial inequalities change over time. Existing Bayesian hierarchical models are refined, new models and methods developed, and tangible benefits obtained for cancer patients in Queensland. The versatility of using Bayesian models in cancer control are clearly demonstrated through these detailed and comprehensive analyses.

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49 since deposited on 07 Apr 2016
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ID Code: 89739
Item Type: QUT Thesis (PhD by Publication)
Supervisor: Mengersen, Kerrie, Baade, Peter, & Pettitt, Tony
Keywords: Bayesian, cancer, disease maps, spatial, spatio-temporal, survival, incidence, rural health, socioeconomic
Divisions: Current > Schools > School of Mathematical Sciences
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Institution: Queensland University of Technology
Deposited On: 07 Apr 2016 06:43
Last Modified: 01 Jun 2016 14:01

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