Mon, 23 Jan|
Workshop: Challenges to statistical approaches for health equity
A series of expert panels to identify the main challenges to statistical approaches for understanding and reducing health inequalities.
Time & Location
23 Jan 2023, 14:00 – 18:00 GMT
About the event
This workshop will explore the main challenges to statistical approaches in improving health equity. We will host a series of panel discussions, each focusing on a different aspect of healthcare, featuring international experts from across academia, medicine, and public health.
The workshop is open to all with an interest in using data-driven approaches to improve health equity and we greatly welcome participation from a broad range of backgrounds and disciplines.Workshop aim
The aim of the workshop is to identify the main barriers to
- Understanding the cascading effects of health and healthcare inequities in data and in the design and development of statistical models
- Detecting / quantifying unfair biases and the effects of health and healthcare inequity
- Improving the equity of statistical approaches and mitigating unfair biases
- Understanding the limitations of statistical approaches to mitigating unfair biases and addressing inequities.
- Prof Joe Coresh (Johns Hopkins)
- Dr Marzyeh Ghassemi (MIT)
- Dr Owen Chinembiri (NHS Race and Health Observatory)
- Dr Sarah Deeny (UK Health Security Agency)
- Prof Ruma Chunara (NYU)
- Prof Elizabeth Stuart (Johns Hopkins)
- Prof Keith Abrams (Warwick)
- Dr Chris Harbron (Roche)
All times GMT
- 2.00-2.30pm: Introduction to the workshop
- 2.30-3.30pm: Healthcare delivery panel
- 3.30-4.00pm: Open discussion
- 4.00-5.00pm: Public health panel
- 5.00-6.00pm: Pharmaceuticals & medical devices panel
- Dr Brieuc Lehmann (UCL)
- Prof Chris Holmes (Oxford)
- Prof David Leslie (Alan Turing Institute)
- Prof Nilanjan Chatterjee (Johns Hopkins)
Please direct any enquiries to Brieuc Lehmann at firstname.lastname@example.org.