Integrating diverse data sets to improve causal inference
- đ¤ Speaker: Professor Judith Green, University of Exeter.
- đ Date & Time: Wednesday 05 May 2021, 11:00 - 12:00
- đ Venue: Online
Abstract
This seminar will be broadcast live online, please register in advance for this meeting:
https://mrc-epid.zoom.us/meeting/register/tJErd-yrrDMqGNVqzcvUIqrPdTOpdrfY9joP
Evaluating the impact of interventions on public health typically requires diverse data sets, which can be challenging to integrate in analysis. This seminar focuses on experiences of integrating epidemiological and ethnographic analysis to strengthen causal inferences, drawing on two studies of natural experiments (evaluations of the public health impacts of free bus travel and reduced street lighting at night) and a recent systematic review of Qualitative Comparative Analysis in public health.
Better integration may require a broader conceptualisation of causal relationships, attention to the timing of integration within the lifetime of a project, and disciplinary balance in research teams.
Series This talk is part of the IMS Epidemiology Seminars series.
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Professor Judith Green, University of Exeter.
Wednesday 05 May 2021, 11:00-12:00