Introduction to Directed Acyclic Graphs (DAGs) for Causal Inference
ORGANISATION
Queen's University Belfast
CATEGORY
Talks
DATE
11 May 2023
SHARE
Led by researchers from the SPACE team, Centre for Public Health, Queen’s University Belfast
DAGs Workshop – Session 1
What will we do?
we will cover a short introduction to causality we will learn the essentials of DAGs we will learn what a confounder, a mediator, and a collider are we will learn the d-separation rules we will work with some examples we will end the session with a DAGitty demonstration that you can replicate at home to create your own DAGs Date: Thursday 11 May @ 15:00 - 17:00hrs (London) / 08:00 - 10:00hrs (PDT)
Venue: Online Webinar via Zoom
DAGs Workshop – Session 2
What will we do?
the main objective of this session will be to apply the knowledge learned in session 1 prior to this session, you will be asked to draw your own DAG and submit to the trainers during the session, a few DAGs will be used as examples and discussed within the group to learn from each other (Full instructions will be sent to the attendees before the session)
Date: Tuesday 23 May @ 15:00 - 17:00hrs (London) / 08:00 - 10:00hrs (PDT)
Venue: Online Webinar via Zoom
Facilitators
Dr Ione Avila-Palencia is a Research Fellow at Queen’s University Belfast working in the SPACE project. She has a background in Environmental Sciences and Public Health. Her research is focused on health effects of urban design, transport and related exposures like air pollution and physical activity in cities. Ione is currently working on the co-creation of a causal loop diagram, the combination of complex systems approach with causal inference tools like DAGs, and the development of mediation analyses about urban environment factors and cognitive decline outcomes.
Dr Hüseyin Küçükali is a Research Fellow at Queen’s University Belfast working in the SPACE project. He is a public health researcher with experience in artificial intelligence and behavioural science. His research aims to innovate the prevention of diseases and health inequalities. Hüseyin is currently working in the application of the syndemic theory principles to the study of synergistic interactions between physical activity behaviour and cognitive decline, and the edgewise modelling and estimation of total effects within the sub-system of physical activity and cognitive decline.
