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 M3//EN
VERSION:2.0
CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VEVENT
DTSTAMP:20220908T154104Z
DTSTART:20230308T140000Z
DTEND:20230308T150000Z
SUMMARY:Nema Dean  - Spatio-temporal modelling of respiratory disease ris
 k with changing spatial boundaries (- in person)
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 h-vb2m62
DESCRIPTION:Nema Dean\, Senior Lecturer in Statistics in the Department o
 f Statistics at the University of Glasgow is our speaker for the Statist
 ics seminar series.\n\nTitle: Spatio-temporal modelling of respiratory d
 isease risk with changing spatial boundaries\n\nAbstract:  Spatial model
 ling of areal data allows us to investigate patterns and variation in ou
 tcomes across space and is often used in areas such as disease mapping. 
 However\, just to make our lives more complicated\, the definition of th
 ese areas’ boundaries (within a fixed region) can often change over time
 . This makes it difficult to extend the spatial modelling into the tempo
 ral dimension due to non-comparable inference from the spatial misalignm
 ent of the areal data. In this talk we will investigate modelling the ri
 sk of respiratory disease hospital admission on the intermediate geograp
 hies (IGs) making up the Greater Glasgow and Clyde health board. Part of
  what we are investigating here is whether health inequalities are chang
 ing over the period of 2006 to 2016. In order to deal with a change in I
 G definition in 2011\, we introduce a multiple imputation approach that 
 allows inference to be made on a common grid for both sets of IGs.\n\nVe
 nue:\nFrank Adams Seminar Room 2 \nAlan Turing Building \nManchester\nM1
 3 9PL
STATUS:TENTATIVE
TRANSP:TRANSPARENT
CLASS:PUBLIC
LOCATION:Frank Adams Seminar Room 2 \, Alan Turing Building \, Upper Broo
 k street\, Manchester\, M13 9PL
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