Qualification Type: | PhD |
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Location: | Manchester |
Funding for: | UK Students, EU Students, International Students |
Funding amount: | £19,237 for 2024/25 |
Hours: | Full Time |
Placed On: | 9th August 2024 |
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Closes: | 31st August 2024 |
This 3.5 year PhD project is funded by the MADSIM Project, https://www.madsim.manchester.ac.uk/. Funding is for Home students and EU students with settled status. Funding covers home tuition fees and provides a stipend at the UKRI rate (£19,237 for 2024/25). The start date is 1st October 2024.
This is an interdisciplinary project between the Department of Mathematics (Christiana Charalambous, Timothy Waite) and the Centre for Health Informatics (David Jenkins). Clinical prediction models (CPMs) are algorithms that use information about a patient at a given time point to generate risk estimates for an outcome. These models are widely adopted throughout healthcare and can be used to inform clinical decisions, for example, if an individual should receive an intervention. Traditionally, CPMs have used data from a single time point and often consider a single outcome. However, the adoption of electronic health records and the increase in availability of data provides rich longitudinal (e.g. repeatedly measured biomarkers) and time-to-event (e.g. death or disease progression) data, which are often underutilised. Complex models that use multi-outcome (potentially correlated) data, such as joint models, are increasingly being adopted and evidence from the literature suggests this could improve predictive accuracy and in turn patient outcomes. Nonetheless, there are strong assumptions required and a lack of methodological development for healthcare usage. In addition, it is unclear when repeated longitudinal measurements should be recorded.
Objectives and outcomes of the project:
The combination of simulation and real-world data will allow us to evaluate the methods under a range of scenarios and parameter combinations and assess the real-world impact of the methods. The collaboration with the Centre for Health Informatics will provide access to real-world health data, such as the Greater Manchester care record, UK Biobank and cardiovascular data from the Manchester University NHS Foundation Trust and Wythenshawe Hospital, that the centre regularly utilises. The project will also provide recommendations to determining when to monitor patients and guidance for developing and validating joint models for clinical prediction.
Applicant’s should have:
Before you apply, please contact Dr Christiana Charalambous at christiana.charalambous@manchester.ac.uk.
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