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

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