Bayesian statistical models for understanding health-related outcomes for women screened for breast cancer

(2016) Bayesian statistical models for understanding health-related outcomes for women screened for breast cancer. PhD by Publication, Queensland University of Technology.

Description

This thesis aims to understand the effects of women's residential location on breast cancer outcomes associated with screening, with a focus on women living in Queensland, Australia. It examines the spatial survival inequalities in health outcomes among these women by means of Bayesian spatial models and presents the inequalities with thematic maps across the state. The thesis investigated the spatial inequalities of various patient demographic, clinical and geographic factors as well as the intended use of cancer treatment among women with screen-diagnosed breast cancer.

Impact and interest:

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ID Code: 100033
Item Type: QUT Thesis (PhD by Publication)
Supervisor: Mengersen, Kerrie, McGree, James, Turrell, Gavin, & Baade, Peter
Keywords: Bayesian modelling, Mammography screening, Breast cancer, Adjuvant therapies, Queensland women, Relative survival, Spatial survival inequalities, Bayesian shared spatial-component model, Varying coefficient model
DOI: 10.5204/thesis.eprints.100033
Divisions: Past > QUT Faculties & Divisions > Faculty of Health
Past > QUT Faculties & Divisions > Science & Engineering Faculty
Current > Schools > School of Mathematical Sciences
Current > Schools > School of Public Health & Social Work
Institution: Queensland University of Technology
Deposited On: 24 Feb 2017 07:15
Last Modified: 09 Jun 2021 14:45