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Bayesian spatiotemporal modelling for identifying unusual and unstable trends in mammography utilisation.
BMJ Open
May 2016
ARC Centre of Excellence for Mathematical and Statistical Frontiers, Queensland University of Technology (QUT), Brisbane, Queensland, Australia Cooperative Research Centre for Spatial Information, Australia.
Objectives: To compare two Bayesian models capable of identifying unusual and unstable temporal patterns in spatiotemporal data.
Setting: Annual counts of mammography screening users from each statistical local area (SLA) in Brisbane, Australia, recorded between 1997 and 2008 inclusive.
Primary Outcome Measures: Mammography screening counts.