Introduction To Causal Inference And Directed Acyclic Graphs

This is a recording of the UKRN online workshop "Introduction To Causal Inference And Directed Acyclic Graphs" held on Thursday 3 February 2022. Facilitated by speaker Peter WG Tennant. Learning objectives: - Appreciate ‘description’, ‘prediction’ and ‘causal inference’ as three distinct scientific tasks requiring distinct scientific methods - Understand the main features of causal directed acyclic graphs and how they can be used to plan and interpret causal analyses - Appreciate some of the challenges and implications of using directed acyclic graphs in applied research 0:00:00 Part 1: Introduction to causal inference and directed acyclic graphs 0:45:19 Q&A 0:57:41 Part 2: Directed acyclic graphs in practice 1:39:17 Q&A For more information on UKRN: https://www.ukrn.org or follow us on Twitter (@ukrepro)