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Modelling the impact of interventions in atrial fibrillation, the commonest cardiac rhythm disorder and a global healthcare problem


Project Description

Project description
It is known that the risk of developing CVD is increasing in the UK along with the rest of the World. It is believed that the culprits are lifestyle and environmental factors. However, it is less known which factors and their changes over time could drive trends in risks. We aim to develop statistical causal models to study the associations and causal links, statistical simulation models to simulate the complex trends, and the cost-effectiveness software evaluate the human’s and economical impact of the interventions.

Research objectives:
1) How changes in risk factors over time can influence trends in CVD risks?
2) Development of a cost-effectiveness micro-simulation model to analyse impact of interventions?
3) What is the cost-effectiveness of the AF interventions?

This is a three-year project from strategic research collaboration based at the new Liverpool Centre for Cardiovascular Science (LCCS) between Liverpool Heart & Chest Hospital, Liverpool John Moores University, Liverpool Health Partners, and the University of Liverpool for the advancement of cardiovascular and stroke research.

Supervisory team
The prospective PhD student will be supervised by Dr Gabriela Czanner, Professor Gregory Lip, and Professor Paulo J. Lisboa. Dr Czanner is Senior Lecturer in Statistics and Data Science. Her research interests are in statistical modelling, complex datasets, medical applications. Professor Lip, the LCCS leader, is an international research leader in atrial fibrillation (AF), a heart condition that causes an irregular and often abnormally fast heart rate, and leads to a high risk of stroke and death. Professor Lisboa is the head of the LJMU’s Department of Applied Mathematics and Engineering and Technology Research Institute. His research focus is in advanced data analysis for decision support.

The prospective PhD student
The successful candidate will work on statistical causal modelling, computer simulations, economic cost-benefit analysis.

Applicants should have a good first degree (2:1 or above) in a relevant discipline. A Master’s degree in Data Science or related discipline is desirable. Experience in health economics would be an advantage. The prospective PhD student will be based at Liverpool John Moores University. A programme of formal research training will be provided.

How to apply? Application process
If you are interested into this project you should email a CV, covering letter detailing your motivation and suitability for the project and contact details of two referees to Dr Gabriela Czanner () by 28 February.

Funding Notes

Funding notes
This project is part of a competition funded by the Liverpool John Moores University. Closing Date 28th February 2019.

The successful candidate will gain expertise on statistical modelling, computer simulations, image analysis, data science and machine learning.

Applicants should have a good first degree. A Master’s degree in Mathematics, Computer Science, Data Science or related discipline is desirable.

Full funding is available to UK/EU candidates only, full-time PhD study only, covering a full studentship for three years. Successful applicants should expect to commence study in September 2019.

How good is research at Liverpool John Moores University in Computer Science and Informatics?

FTE Category A staff submitted: 9.70

Research output data provided by the Research Excellence Framework (REF)

Click here to see the results for all UK universities

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