BILATERAL AUSTRALIA: THE ROLE OF HOUSEHOLDS, NEIGHBOURHOODS AND NETWORKS IN SOCIAL STATISTICS.
Lead Research Organisation:
University of Manchester
Department Name: Social Sciences
Abstract
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Organisations
Publications
Tranmer M
(2014)
Multiple-membership multiple-classification models for social network and group dependences.
in Journal of the Royal Statistical Society. Series A, (Statistics in Society)
| Description | That it is possible to take social network connections into account alongside other groupings like schools and areas when modelling variations in responses for individuals such as the individual academic performance of school pupils. |
| Exploitation Route | We are developing code to run these models via R and MLwiN software such that researchers can model their own network data. We have now taught courses internationally on the use of the Multiple Membership Multiple Classification Model to analyse social network data. The methods have recently been extended to publications the analysis of Multilevel Networks. |
| Sectors | Communities and Social Services/Policy,Digital/Communication/Information Technologies (including Software),Education,Environment,Healthcare,Government, Democracy and Justice,Transport |
| Description | The Multiple Membership Multiple Classification models are currently being used to investigate network variations in European health data. An early version of this work was disseminated at a workshop on statistical modelling on November 3rd 2014. |
| First Year Of Impact | 2013 |
| Sector | Healthcare |
| Impact Types | Societal |