Cross-cohort research: opportunities, challenges and examples

Date:

09/09/2015

Organised by:

CLOSER, UCL Institute of Education

Presenter:

Graciela Muniz-Terrera and Rebecca Hardy, MRC Unit for Lifelong Health and Ageing at UCL

Level:

Intermediate (some prior knowledge)

Contact:

Jon Tebbett, (0)20 7331 5102, j.tebbett@ioe.ac.uk

Map:

View in Google Maps  (WC1E 7HU)

Venue:

Senate House, Malet Street, London(Court Room)

Description:

We would like to extend a warm invitation to the latest CLOSER workshop.

This event will offer an overview of the opportunities and challenges in cross-cohort research. It will provide participants with an awareness of the advantages and potential pitfalls in carrying out comparative research and will help to guide good practice.

The workshop is aimed primarily at early career researchers.


Workshop programme

Session 1: CLOSER data harmonisation

  • William Johnson, MRC Human Nutrition Research - Harmonisation of body size
  • Claire Crawford, Institute of Fiscal Studies - Harmonisation of
    socio-economic resources

Followed by small group work led by Graciela Muniz-Terrera and Rebecca Hardy, MRC Unit for Lifelong Health and Ageing at UCL - Principles of data harmonisation

Session 2: Cross-cohort research examples

  • Jenny Head, Department of Epidemiology and Public Health (UCL) - Approaches to cross-national research on health and employment in later life: the renEWL and IDEAR studies
  • Susan Hodgson, MRC-PHE Centre for Environment & Health (Imperial College London) - BioSHaRE Environmental Determinants of Health project: opportunities and challenges of cross-cohort working

Session 3:

  • Graciela Muniz-Terrera, MRC Unit for Lifelong Health and Ageing at UCL - Analytical approaches in cross-cohort research

 

Cost:

Free

Website and registration:

Region:

Greater London

Keywords:

Frameworks for Research and Research Designs, Data Collection, Data Quality and Data Management , Quantitative Data Handling and Data Analysis

Related publications and presentations:

Frameworks for Research and Research Designs
Data Collection
Data Quality and Data Management
Quantitative Data Handling and Data Analysis

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