Combining cross-sectoral, prospective data linkage with other data sources to examine health outcomes for socially excluded populations: A case study from Australia. (2018)

Record Type:: Journal Article
Title:: Combining cross-sectoral, prospective data linkage with other data sources to examine health outcomes for socially excluded populations: A case study from Australia. (2018)
Main Title:: Combining cross-sectoral, prospective data linkage with other data sources to examine health outcomes for socially excluded populations: A case study from Australia
Authors:: Kinner, Stuart
Preen, David B
Young, Jesse
Cumming, Craig
Borschmann, Rohan
Is Part Of:: International journal of population data science. Volume 3:Number 4(2018)
Journal:: International journal of population data science
Issue:: Volume 3:Number 4(2018)
Issue Display:: Volume 3, Issue 4 (2018)
Year:: 2018
Volume:: 3
Issue:: 4
Issue Sort Value:: 2018-0003-0004-0000
Page Start:
Page End:
Publication Date:: 2018
Subjects:: Population research -- Periodicals
Population -- Data processing -- Periodicals
Population -- Statistical methods -- Periodicals
304.6072
Journal URLs:: https://ijpds.org/ ↗
DOI:: ↗
Languages:: English
ISSNs:: 2399-4908
Deposit Type:: Legaldeposit
View Content:: Available online (eLD content is only available in our Reading Rooms) ↗
Physical Locations:: British Library HMNTS - ELD Digital store
Ingest File:: 12828.xml