Causal Inference in Epidemiology: Concepts and Methods

Causal inferences from observational studies rely on assumptions, some of which we cannot test using the data. Therefore it is important to learn the rules of Directed acyclic graphs (DAGs) as a way to document these assumptions.​ Academics working in the MRC Integrative Epidemiology Unit (IEU) and the University of Bristol (including those who are tutors on this course) have been at the forefront of developing and applying methods to assess causal inference.

Dates 1 - 4 July 2024*
Fee £880
Format Online
Audience Open to all applicants (prerequisites apply)

*Advisory: Previously advertised as 24-27 June

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This course aims to define causation in biomedical research, describe methods to make causal inferences in epidemiology and health services research, and demonstrate the practical application of these methods.

Please click on the sections below for more information. 

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Complex concepts clearly explained, well organised, and topics organised in a clear logical manner, things flowed nicely on from each other.

Course feedback, July 2023

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Find out about the self-paced Materials & Recordings version of this course [UoB only].

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