The Leeds Institute for Data Analytics (LIDA) is pleased to present this research symposium- Robust methods for causal inference with observational data– on the 16th March 2017 at 3.30pm in the Medical Lecture Theatre, Level 7 Airport Lounge Worsley Building.

This session will be chaired by Peter Tennant, University Academic Fellow in Healthcare Research, from the University of Leeds.

The agenda is as follows:

15:30      Challenges to causal inference with observational research: An overview
               Mark S Gilthorpe, Professor of Statistical Epidemiology

15:45       Directed acyclic graphs (DAGs) & graphical causal model theory: A practical summary
               George TH Ellison. Associate Professor of Epidemiology

16:00      Implications of selecting your sample with your outcome: The example of ‘population mixing’
               Lauren Berrie, PhD student

16:15      Robust methods for managing confounding in highly collinear longitudinal exposure data
              Kellyn F Arnold, PhD student

16:30     Causal coupling in the analysis of change: How composite variables obstruct robust inference
              Peter WG Tennant, University Academic Fellow in Healthcare Research

16:45     Questions and discussion

17:00     Reception and networking

18:00     Close