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Deep dive: The challenge of causal inference in RWD analysis
Causal machine learning (ML) is an evolving field that aims to model and infer cause-and-effect relationships in data. Unlike traditional ML, which focuses primarily on making predictions based on associations in data, causal ML seeks to answer questions about the effects of an intervention, e.g. via a drug, from data that may have been collected
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Real4Reg workshops 2024
The Real4Reg project is dedicated to fostering active engagement with key stakeholders, including experts in real-world data and medicines, as well as the public and patients. We are excited to announce two workshops scheduled for October 14. The final programs and speakers will be announced in the coming weeks.
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Real4Reg Consortium Meeting in Helsinki, June 26-27, 2024
On June 26-27, the Real4Reg Consortium held a hybrid consortium meeting at CSC – IT Center for Science in Helsinki, Finland. The opportunity to gather partners face-to-face strengthened bonds within the Consortium and facilitated the effective exchange of ideas. The first day focused on reviewing the progress of work packages towards the end of the