TMCF workshop series: Prediction algorithms with a causal interpretation (online event)
Wednesday 06 May 2020
Time: 11:00 - 16:30
Bio
Peter is a translational data scientist with a primary focus on understanding, adapting, and applying 'causal inference'
Peter is based at the Leeds Institute for Data Analytics, University of Leeds, where he teaches on their MSc in Health
Research interests
Peter's Turing Fellowship focuses on translating and adapting graphical methods for causal inference from their
the complex setting of applied health and social science research.
This involves:
1) Developing training and guidance
on the application and reporting of causal diagrams and directed acyclic graphs,
2) Adapting and developing notation to improve detection and understanding of common analytical errors, particularly
3) Demonstrating the utility and insights of 'causal inference' for resolving areas of debate and
confusion in applied health and social science research.
