This course will cover fundamental concepts and tools from causal inference from an applied perspective, including directed acyclic graphs (DAGs), target trials, propensity scores, instrumental variable analysis and mediation analysis. The course will feature a mixture of lectures and hands-on applied practicals.   

Lecturers: Karla Diaz Ordaz, Neil Davies, and Bianca De Stavola.

Medical statistics plays an essential role in all stages of a quantitative health care research project from design through to analysis and interpretation. This intensive course covers the essential principles and methods required. Emphasis is on study design, appropriate analysis, and interpretation of results. The underlying concepts of statistical analysis as well as basic and some more advanced analysis techniques are covered. Sessions include lectures and practical work, both computer based (using Stata) and using small workshops for discussion. The course has been running for more than 30 years and has earned an international reputation.

Please note that the Early Bird Rates are only available until the 1st May 2024.