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