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🎥 Challenges to statistical approaches for health equity 🎥

In January, we hosted a series of expert panels to explore the main challenges to statistical approaches for understanding and reducing health inequalities.

The aim of the workshop was to identify the main barriers to

  1. Understanding the cascading effects of health and healthcare inequities in data and in the design and development of statistical models

  2. Detecting / quantifying unfair biases and the effects of health and healthcare inequity

  3. Improving the equity of statistical approaches and mitigating unfair biases

  4. Understanding the limitations of statistical approaches to mitigating unfair biases and addressing inequities.

Missed it or just want to rewatch? You can catch the recording here:

0:00 Introduction

9:27 Healthcare delivery panel

1:04:19 Public health panel

1:55:49 Pharmaceuticals panel


Don't want to miss out on any future Statistical Methods theme activities? Stay up to date by joining the #theme-statistical-methods channel on our Slack workspace.


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