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🎥 DSxHE Data Diversity X READI: Designing Inclusive Clinical Trials: a European Perspective🎥
This event was co-hosted with READI (Research in Europe and Diversity Inclusion), a European initiative working to reshape clinical research towards greater representation and inclusion. We explored the challenges of recruiting diverse and representative populations into clinical trials across Europe, with a particular focus on process: what inclusive trial design looks like in practice, and what we can learn from ongoing efforts to embed it from the outset. The session inclu
3 hours ago


🎥 Statistical Methods for Health Equity Webinar: Sharon Davis (Vanderbilt University Medical Center)🎥
The Statistical Methods for Health Equity Series is a monthly online series co-hosted by the Data Science for Health Equity community, the Alan Turing Institute Health Equity Interest Group, and the Department of Statistical Science at University College London. --- We are excited to present the next instalment of our webinar series with speaker Sharon Davis (Vanderbilt University Medical Center) Webinar Title: Supporting Responsible Deployment of AI in Healthcare with Sustai
Jun 17


🎥 DSxHE Data Diversity X HDR UK: Finding and accessing representative health data for research🎥
This event was co-hosted with HDR UK, and explored the challenges in finding and accessing representative data and, crucially, how to overcome them. We hears about HDR UK’s work across data infrastructure, technology to improve access, and inclusion, with a particular focus on: The Health Data Research Gateway which is HDR UK’s online platform to help researchers find health datasets, The Cohort Discovery Tool to help researchers determine the size of the population relevant
May 14


🎥 Statistical Methods for Health Equity Webinar: Amanda Coston (UC Berkeley)🎥
The Statistical Methods for Health Equity Series is a monthly online series co-hosted by the Data Science for Health Equity community, the Alan Turing Institute Health Equity Interest Group, and the Department of Statistical Science at University College London. --- We are excited to present the next instalment of our webinar series with speaker Amanda Coston (UC Berkeley). Title: Evaluating Predictive Models Under Selection Bias and Covariate Shift Abstract: Understanding ho
Apr 29
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