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Bayesian mixture modelling for characterising environmental exposures and outcomes

Wraith, Darren (2008) Bayesian mixture modelling for characterising environmental exposures and outcomes. PhD thesis, Queensland University of Technology.

Abstract

Environmental exposure and outcomes assessment is a great challenge to scientists. Increasingly more and more detailed data are becoming available to understand the nature and complexity of the relationships involved. The methodology of mixture models provides a means to understand, quantify and describe features and relation- ships within complex data sets. In this thesis, we focussed on a number of applied problems to characterise complex environmental exposure and outcomes, including: assessing the interaction between environmental exposures as risk factors for health outcomes; identifying di®ering environmental outcomes across a region; and estab- lishing patterns in the size and concentration of aerosol particles over time. Mixture model approaches to address these problems are developed and examined for their suitability in these contexts.

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380 since deposited on 04 Mar 2009
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ID Code: 18467
Item Type: QUT Thesis (PhD)
Supervisor: Mengersen, Kerrie, Alston, Clair, & Tong, Shilu
Keywords: Bayesian mixture modelling, environmental exposure
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Institution: Queensland University of Technology
Deposited On: 04 Mar 2009 12:39
Last Modified: 29 Oct 2011 05:52

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