Target trial emulation and other frameworks
Join the Centre for Data and Statistical Science for Health for a symposium on target trial emulation (TTE) and other frameworks: the role and potential of observational data for evaluating effects of interventions.
Large scale observational data are increasingly available for healthcare research, including from electronic health records and disease registries. Target trial emulation (TTE) provides a framework for addressing causal questions using observational data, and the framework is increasingly used across a range of clinical areas to answer questions that would not be feasible in a randomised trial or to enhance evidence from randomised trials.
This event will bring together experts on trial emulation and on the use of real-world evidence to inform clinical decision making. Sessions will include examples of trial emulation applications and methodology in different clinical areas and using a range of data sources.
The event is aimed at researchers, including statisticians, epidemiologists and data scientists, as well as at clinicians and decision-makers interested in real-world evidence, causal inference and trial emulation.
Programme
Note: The programme is subject to change.
- 09.45-10:10: Welcome and introduction to target trial emulation (TTE)
- Welcome: Ruth Keogh, LSHTM
- Introduction to TTE: Clemence Leyrat, LSHTM
- 10:10-11:00: Keynote talk
Speaker:
- Stephen Duffield, NICE
- 11:00-11:30: Break
- 11:30-12:15: Highlights from LSHTM TTE research
Talks selected from submitted abstracts:
- Emily Granger, LSHTM
- Elliot McClenaghan, LSHTM
- Alex Lyons, LSHTM
- Eva Kagenaar, LSHTM
- 12:15-13:00: Harnessing Diverse Data Sources for TTE: Possibilities and Pitfalls
Speakers:
- Will Hulme, Bennett Institute for Applied Data Science, University of Oxford
- Karen Forrest, LSHTM
- Andrew Hutchings, LSHTM
- 13:00-14:00: Lunch
- 14:00-14:45: Discussion panel: Perspectives on use of real-world evidence in clinical decision-making
Panellists:
- Laurie Tomlinson, LSHTM
- Peter Arlett, European Medicines Agency
- Kieran Rothnie, GSK
- Silvia Moler, Instituto Aragonés de Ciencias de la Salud (IACS)
- 14:45-15:30: Further highlights from LSHTM TTE research: methodology
Talks selected from submitted abstracts:
- Ziyi Lin, LSHTM
- Elisa Giallongo, LSHTM
- Camille Maringe, LSHTM
- Catherine Bunting, LSHTM
- 15:30-16:00: Break
- 16.00-16:45: Extensions and other frameworks
Speakers:
- Anna Schulze, LSHTM
- Thiago Silva, LSHTM
- Stephen O’Neill, LSHTM
- 16:45 - 17:30: Discussion panel: next steps for TTE and beyond
Panelists:
- George Davey Smith, Bristol University
- Ian White, UCL
- 17:30 - 17:45: Closing remarks
- 17:45 - 19:00: Evening recepetion
For in-person attendees, lunch and breaktime refreshments will be provided, and the event will be followed by an evening reception. There is a fee of £20 for in-person attendees.
For LSHTM staff/students who do not have access to grant funds or departmental funds to cover their attendance fee, please contact events@lshtm.ac.uk. A limited amount of funding is available to allocate on a first-come, first-served basis.
To receive the latest events and updates from the Centre for Data and Statistical Science, sign up to the mailing list.
Event notices
- Please note that you can join this event in person or you can join the session remotely.
Admission
Contact
