Session: Tuesday 8th July AM (10.00 - 12.45)
Title: Using Secondary Analysis to Research Health and Wellbeing
Convenors:
Dr Ginny Russell (University of Exeter)
Dr Susan Kelly (University of Exeter)
Abstract Details
Dealing with methods for mapping historical and geographical trends in secondary data analysis, the session will focus first on comparing cohorts over time in order to uncover trends, and second on innovative approaches to mapping trends over geographic regions.
It will begin with an overview of the problem of separating age-period and cohort effects, followed by a discussion whether it is possible to compare 'like-with-like' in different cohorts. Talks will then outline spatial methods to combine environmental and longitudinal cohort/panel data and explain the spatial microsimulation technique for small area data estimation, its benefits and limitations.
Presentation downloads
Presenter: Andrew Bell
The (im)possibility of separating age, period and cohort effects
Presenter: Stephan Collishaw
Methods for testing trends in mental health - is it really possible to compare 'like-with-like'?
Presenter: Karyn Morrissey
Spatial microsimulation: A method for small area level estimation
The level of the session is: Accessible
Presentation details
There will be a coffee break from 10.45 - 11.15
Presentation 1
Start time: 10:00
Presentation title:The impossibility of separating age, period and cohort effects
Author: Mr Andrew Bell (University of Bristol)
Presentation 2
Start time: 10:25
Presentation title:Methods for testing trends in mental health - is it really possible to compare like-with-like
Author: Dr Stephan Collishaw (Cardiff University School of Medicine)
Presentation 3
Start time: 11:15
Presentation title:Spatial microsimulation: A method for small area level estimation
Author: Dr Karyn Morrissey (University of Liverpool)
Presentation 4
Start time: 11:40
Presentation title:Geographically combining small area environmental and longitudinal data
Author: Dr Benedict Wheeler (University of Exeter)