OxTalks will soon move to the new Halo platform and will become 'Oxford Events.' There will be a need for an OxTalks freeze. This was previously planned for Friday 14th November – a new date will be shared as soon as it is available (full details will be available on the Staff Gateway).
In the meantime, the OxTalks site will remain active and events will continue to be published.
If staff have any questions about the Oxford Events launch, please contact halo@digital.ox.ac.uk
Large routinely collected, clustered databases, such as QResearch, and multicentre studies are a huge resource for medical research offering more insight into patient and clinical pathways. These datasets are being used extensively for developing and validating clinical prediction models which are used widely to inform medical decision making. However, clustering in these datasets is often ignored in prediction modelling studies, and valuable information is lost as a result. In this talk we will cover how to get the most out of using large routinely collected and clustered datasets for predicting modelling research.
Join the meeting using the link here
teams.microsoft.com/l/meetup-join/19%3ameeting_MTAwMjA3OTMtMTY4OS00NTc3LTk2MGMtMDJmNDJmMmU5ZjM4%40thread.v2/0?context=%7b%22Tid%22%3a%22cc95de1b-97f5-4f93-b4ba-fe68b852cf91%22%2c%22Oid%22%3a%22faced498-504f-4f96-8854-77538695d7ef%22%7d
