Conference: Methods for Longitudinal Data Analysis in the Social Sciences

Monday 8 September 2014, 10:00 – 18:00
Followed by drinks reception and buffet dinner

Conference venue: New Theatre, East Building, Houghton Street, LSE campus


*** Limited additional places are now available to attend this conference. Please email Ian Marshall if you would like to reserve a place. ***


These are unprecedented times for the social sciences in terms of the availability of high-quality longitudinal data. The richness of these data are enabling researchers to broaden their horizons and contemplate addressing research questions of increasing complexity, and develop models of increasing sophistication to answer these questions.  In this event, we bring together researchers from social statistics, biostatistics and economics to talk about some of the latest developments in this area.  The speakers will talk on a range of subjects, from innovative ways of collecting longitudinal data to dealing with its most difficult problems, from modelling growth and over-dispersion to estimating causal effects.

This event is sponsored by the LEMMA node of the ESRC National Centre of Research Methods, and is organised by Fiona Steele (LSE) and Paul Clarke (University of Essex).

Speakers

Paul Clarke (University of Essex)
Dynamic panel-data modelling with structural nested mean models

Marcel Das (CentERdata / Tilburg University)
Innovation in online longitudinal data collection for scientific research

Bianca De Stavola (London School of Hygiene and Tropical Medicine)
Mediation and life course epidemiology: Challenges and examples

Harvey Goldstein (University of Bristol)
Modelling repeated measures growth data by aligning significant growth events and modelling changes in within-individual variability over time

Geert Molenberghs (Katholieke Universiteit Leuven)
A flexible modelling framework for over-dispersed, hierarchical data of a joint nature

Anders Skrondal (Norwegian Institute of Public Health)
Protective estimation of panel models when data are not missing at random

Tom Snijders (University of Oxford, University of Groningen)
Longitudinal methods for using panel data of networks and behaviour to assess peer influence

Please view abstracts of the talks HERE

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