OxTalks is Changing
On 28th November OxTalks will move to the new Halo platform and will become 'Oxford Events' (full details are available on the Staff Gateway).
There will be an OxTalks freeze beginning on Friday 14th November. This means you will need to publish any of your known events to OxTalks by then as there will be no facility to publish or edit events in that fortnight. During the freeze, all events will be migrated to the new Oxford Events site. It will still be possible to view events on OxTalks during this time.
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Using large routinely collected and clustered data for prediction modelling
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
Date:
23 September 2021, 12:30
Venue:
Venue to be announced
Speaker:
Dr Paula Dhiman (UK EQUATOR Centre, CSM, NDORMS, University of Oxford)
Booking required?:
Not required
Audience:
Members of the University only
Editor:
Claire Meadows
