Personalised surveillance schedules for detecting hepatocellular carcinoma
Please see details below of an exciting funded PhD opportunity in the area of Bayesian models for longitudinal data, in the Department of Health Data Science at the University of Liverpool. This PhD is an exciting opportunity to develop Bayesian computational methods to create personalised surveillance intervals for liver cancer screening. The project will utilise large electronic health records via CPRD, and the CIPHA programme, to identify liver biomarkers, and combine longitudinal observation of biomarkers with liver cancer outcomes, and determine when “at-risk” patients should next be brought for screening. The large volume of data means that we will need scalable algorithms to be able to fit models efficiently. For this, the student will learn about variational Bayes methods and derive suitable approaches for longitudinal and survival models. The models will be tested using both simulation studies and real data analysis. The PhD will provide training in statistical methods and also provide opportunity to interact with clinicians across the University.
For more information, please visit
https://www.findaphd.com/phds/project/personalised-surveillance-schedules-for-detecting-hepatocellular-carcinoma/?p158537
The Phd is funded by North West Cancer research and provides tuition fees and a stipend for 3.5 years.
Please contact Dr D. Hughes, (dmhughes@liverpool.ac.uk) for any further details. If you’d like to apply, please send your CV by 31st July 2023.
