University of Cambridge > Talks.cam > MRC Epidemiology and CEDAR Seminars > Integrating diverse data sets to improve causal inference

Integrating diverse data sets to improve causal inference

Add to your list(s) Download to your calendar using vCal

  • UserProfessor Judith Green, University of Exeter.
  • ClockWednesday 05 May 2021, 11:00-12:00
  • HouseOnline.

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.

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.

 

© 2006-2021 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity