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Large Longitudinal Studies: design and methodology

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RSS sections/special interest groups, Social Statistics Section

Thursday 26 October 2017, 02:00pm - 07:15pm

Location Royal Statistical Society, 12 Errol Street, London EC1Y 8LX



The UK has led the world with its investment in population cohorts following children from birth into old age. Study design has proliferated from repeatedly following up all those born in one week and many studies now exist in the UK and across the world. Optimal approaches to design and analysis for social science and policy evaluation need to take account of this potential. This meeting will articulate methodological priorities.
Lorraine Dearden (UCL) - Creating linked adminisrtative data cohorts for policy analysis: the importance of longitudinal survey data (slides)
Piero Falorsi (Istat) - Statistical issues concerned with time consistency of the Italian Integrated System of Statistical Registers (slides)
Ruth Gilbert (UCL) - Synergies between administrative data and cohort studies: perspective from the Adminstrative Data Research Centre for England (slides)
Peter Lynn (Essex) - Understanding Society: The Quality and Value of a Household Panel Study (slides)
George Ploubidis (UCL) - Don't forget the observatles: Capitalising on the richness of UK longitudinal surveys (slides)
Speakers will address the potential and challenges of design and analysis to answer substantive questions making use of multiple and focused studies across the world. This includes integrating administrative data with surveys as part of the design; harmonisation and comparability; inference with missing data; and indirect model-based estimation of change.
The event will conclude with a panel discussion to establish an RSS vision about the future of investments in design and methodology for these studies. Panellists will include speakers as well as
Harvey Goldstein (Bristol) (slides)
Erica Pufall (Wellcome) (slides)
Ray Chambers (Wollongong)
The audio recording of this event can be downloaded here.

Registration with payment will be required:
RSS Concessionary Fellow: £20 RSS CStat/GradStat: £22 RSS Fellow: £25 None of the above: £45

Event preceded by tea and coffee at 1.30pm

Organiser Name Tom King

Email Address This email address is being protected from spambots. You need JavaScript enabled to view it.

Organising Group(s) RSS Social Statistics Section