Introduction To Causal Inference And Directed Acyclic Graphs скачать в хорошем качестве

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)