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SUMMARY:Integrating diverse data sets to improve causal inference - Profes
 sor Judith Green\, University of Exeter.
DTSTART:20210505T100000Z
DTEND:20210505T110000Z
UID:TALK158449@talks.cam.ac.uk
CONTACT:Paul Browne
DESCRIPTION:This seminar will be broadcast live online\, please register i
 n advance for this meeting:\n\nhttps://mrc-epid.zoom.us/meeting/register/t
 JErd-yrrDMqGNVqzcvUIqrPdTOpdrfY9joP\n\nEvaluating the impact of interventi
 ons on public health typically requires diverse data sets\, which can be c
 hallenging to integrate in analysis.  This seminar focuses on experiences 
 of integrating epidemiological and ethnographic analysis to strengthen cau
 sal inferences\, drawing on two studies of natural experiments (evaluation
 s of the public health impacts of free bus travel and reduced street light
 ing at night) and a recent systematic review of Qualitative Comparative An
 alysis in public health.\n\nBetter integration may require a broader conce
 ptualisation of causal relationships\, attention to the timing of integrat
 ion within the lifetime of a project\, and disciplinary balance in researc
 h teams.
LOCATION:Online
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