Registration for this event is open Register Estimating causal effects in non-experimental data is a key aim of applied health and social science research. Unfortunately, it is also notoriously difficult. Contemporary causal inference methods, including directed acyclic graphs, promise to revolutionise the analysis and interpretation of non-experimental data, not least by making our ambitions and assumptions far more explicit. This interactive session offers a friendly and non-technical introduction to the theory, practice, and benefits of contemporary…