?url_ver=Z39.88-2004&rft_id=10.5204%2Fthesis.eprints.115536&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=Statistical+approaches+to+revealing+structure+in+complex+health+data&rft.creator=Tierney%2C+Nicholas+J.&rft.subject=Occupational+Health+Surveillance&rft.subject=Public+Health+Surveillance&rft.subject=Applied+Statistics&rft.subject=Statistics&rft.subject=Bayesian+Statistics&rft.subject=Decision+Trees&rft.subject=Missing+Data&rft.subject=Linear+Programming&rft.subject=R&rft.subject=Automated+External+Defibrillator&rft.description=This+thesis+develops+approaches+for+the+modelling+and+analysis+of+structured+data%2C+considering+two+case+study+datasets+containing+features+such+as+missing+data%2C+irregular+time+periods%2C+workplace+grouping%2C+and+spatial+observations+from+different+spatial+scales.+The+models+developed+helped+to%3A+create+individual+health+risk+profiles+over+time%2C+obtain+ideal+locations+of+health+facilities+to+maximise+their+coverage%2C+evaluate+the+impact+of+health+facility+access.+Overall+this+thesis+makes+substantive+contributions+that+extend+models+to+account+for+data+structures%2C+provide+corresponding+new+software+tools%2C+improve+health+surveillance+and+health+resource+usage%2C+in+the+hope+of+improving+health+of+the+public.&rft.publisher=Queensland+University+of+Technology&rft.date=2018&rft.type=Thesis&rft.format=application%2Fpdf&rft.relation=https%3A%2F%2Feprints.qut.edu.au%2F115536%2F1%2FNicholas_Tierney_Thesis.pdf&rft.rights=free_to_read&rft.relation=doi%3A10.5204%2Fthesis.eprints.115536&rft.relation=Tierney%2C+Nicholas+J.+(2018)+Statistical+approaches+to+revealing+structure+in+complex+health+data.+PhD+by+Publication%2C+Queensland+University+of+Technology.&rft.id_number=https%3A%2F%2Feprints.qut.edu.au%2F115536%2F&rft.identifier=Science+%26+Engineering+Faculty%3B+School+of+Mathematical+Sciences