This session is part of the ESRC Centre for Society and Mental Health's Research Methods Primer and Provocation series
The study of mediation has a long tradition in the social sciences anchored within the tradition of path analysis and structural equation models (SEMs), and a more recent school mainly developed in epidemiology which stems from methods developed within the potential outcomes (counterfactual) approach to causal inference.
This workshop will introduce the mediation effects defined in the SEM literature and then revisit them through the lens of counterfactual-based causal inference. This will allow an appreciation of the similarities of the two approaches, and facilitate a general discussion of the advantages and disadvantages of adopting one over the other.
Please note that this session will be recorded.
About the presenter:
Bianca De Stavola is Professor of Medical Statistics at University College London's Great Ormond Street Institute of Child Health, London, UK. Bianca received her PhD from Imperial College London and MSc from the London School of Economics and Political Sciences, after graduating in Statistical and Economic Sciences at the University of Padova, Italy. Her main research activities involve the understanding, development, and implementation of statistical methods for long-term longitudinal studies, with specific applications to causal enquiries in life-course epidemiology. In 2020 Bianca received the Suffrage Science Award for Mathematics and Computing and in 2021 the Royal Statistical Society Bradford Hill Medal in Medical Statistics.
Chaired by: Dr Dario Moreno Agostino, Research Fellow, Centre for Longitudinal Studies, University College London
How to register:
This session will convene online. To join, please register in advance via the Zoom registration link here
After registering, you will receive a confirmation email containing information about how to join the seminar.