Article Source

• Introduction To Causal Inference And Directed Acyclic Graphs

Introduction To Causal Inference And Directed Acyclic Graphs

Abstract

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

Lecture 6: Causality