Integrating diverse data sets to improve causal inference

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• Professor Judith Green, University of Exeter.
• Wednesday 05 May 2021, 11:00-12:00
• Online.

If you have a question about this talk, please contact Paul Browne.

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.

This talk is part of the MRC Epidemiology and CEDAR Seminars series.

This talk is included in these lists:

• Annual Food Agenda
• BHRU Annual Lecture 2015
• BHRU Annual Lecture 2016
• Cambridge Global Food Security
• Cardiovascular Epidemiology Unit Special Seminars
• Department of Public Health and Primary Care
• MRC Epidemiology and CEDAR Seminars
• Online
• Primary Care
• PublicHealth@Cambridge
• Talks related to sustainability and the environment
• history
• primary care

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