title: Spatially Varying Coefficient Inequalities: Evaluating How the Impact of Patient Characteristics on Breast Cancer Survival Varies by Location.
abstract: An increasing number of studies have identified spatial differences in breast cancer survival. However little is known about whether the structure and dynamics of this spatial inequality are consistent across a region. This study aims to evaluate the spatially varying nature of predictors of spatial inequality in relative survival for women diagnosed with breast cancer across Queensland, Australia. All Queensland women aged less than 90 years diagnosed with invasive breast cancer from 1997 to 2007 and followed up to the end of 2008 were extracted from linked Queensland Cancer Registry and BreastScreen Queensland data. Bayesian relative survival models were fitted using various model structures (a spatial regression model, a varying coefficient model and a finite mixture of regressions model) to evaluate the relative excess risk of breast cancer, with the use of Markov chain Monte Carlo computation. The spatially varying coefficient models revealed that some covariate effects may not be constant across the geographic regions of the study. The overall spatial patterns showed lower survival among women living in more remote areas, and higher survival among the urbanised south-east corner. Notwithstanding this, the spatial survival pattern for younger women contrasted with that for older women as well as single women. This complex spatial interplay may be indicative of different factors impacting on survival patterns for these women.
authors.affiliation: Mathematical Sciences, Queensland University of Technology, Brisbane, Queensland, Australia.
authors.forename: Jeff Ching-Fu
authors.initials: JC
authors.lastname: Hsieh
authors.affiliation: Cancer Research Centre, Cancer Council Queensland, Brisbane, Queensland, Australia.
authors.forename: Susanna M
authors.initials: SM
authors.lastname: Cramb
authors.affiliation: Mathematical Sciences, Queensland University of Technology, Brisbane, Queensland, Australia.
authors.forename: James M
authors.initials: JM
authors.lastname: McGree
authors.affiliation: Preventive Health Unit, Department of Health, Brisbane, Queensland, Australia.
authors.forename: Nathan A M
authors.initials: NA
authors.lastname: Dunn
authors.affiliation: Cancer Research Centre, Cancer Council Queensland, Brisbane, Queensland, Australia.
authors.forename: Peter D
authors.initials: PD
authors.lastname: Baade
authors.affiliation: Mathematical Sciences, Queensland University of Technology, Brisbane, Queensland, Australia.
authors.forename: Kerrie L
authors.initials: KL
authors.lastname: Mengersen
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D001499:Bayes Theorem; D001943:Breast Neoplasms / Q000401:mortality*; D005260:Female; D006297:Health Services Accessibility / Q000706:statistics & numerical data; D006801:Humans; D008390:Markov Chains; D008875:Middle Aged; D009010:Monte Carlo Method; D011793:Queensland; D012307:Risk Factors; D012959:Socioeconomic Factors