Dr Marlous Hall
- Position: University Academic Fellow
- Areas of expertise: Epidemiology; large complex clinical data; advanced analytical methodology; cardiovascular survivorshop and multimorbidity.
- Email: M.S.Hall@leeds.ac.uk
- Phone: +44(0)113 343 8905
- Location: LIDA, Level 11 Worsley Building
I joined the university as a medical statistician in 2009, alongside which I completed a PhD in Paediatric Cancer Epidemiology. In 2014 I was promoted to Senior Epidemiologist in Cardiovascular Epidemiology. I was awarded a personal Sir Henry Wellcome Fellowship as well as appointed as University Academic Fellow in Cardivascular Survivorship in 2017.
I have extensive expertise in advanced analytical techniques applied to electronic healthcare data, with a particular focus in processing and analysing large complex clinical datasets. My main interests involve applying advanced methodologies including multistate modelling, multiple imputation, multilevel modelling, and advanced survival techniques such as flexible parametric survival modelling and relative survival.
I have a particular focus in Cardiovascular Survivorship and work with a range of national and local data such as the Myocardial Ischaemia National Audit Project, hospital episode statistics (HES) data and primary care data. Previously, I have worked in Paediatric Cancer Epidemiology, primarily working with data from the Yorkshire Specialist Register of Cancer in Children and Young People linked to HES data.
- BSc in Mathematics, University of Sheffield
- MSc in Statistics, University of Sheffield
- PhD in Paediatric Cancer Epidemiology, University of Leeds
- University of Leeds Teaching and Research Award (ULTRA) (MSc)
- Fellow of the Higher Education Academy, University of Leeds
Postgraduate Research Supervision
Please contact me directly about potential PhD opportunities in the area of cardiovascular survivorship epidemiology.
A list of current and past postgraduate research students and projects are listed below.
Eman S Alsaeed, PhD – International PhD Academy. ‘An investigation of AF-related stroke using observational data’. Full time, started April 2019.
Oliver Todd, PhD - Dunhill Medical Trust PhD Fellowship in ‘Optimising blood pressure management for older people with frailty’. Full time, started October 2017.
Owen Bebb, MD - Acute Myocardial Infarction: An evaluation of good quality of care and outcomes, Part Time, started September 2015
Chris Wilkinson, MD - Cardiovascular outcomes and prognosis in older people with frailty: a cohort study using electronic health records. Part time, awarded May 2019.
Tatendashe Bernadette Dondo, PhD - Quality of care and clinical outcomes following Acute Myocardial Infarction: High resolution investigation using electronic health record data. Part Time, awarded June 2018.
Arwa AlThumairi, PhD - Describing variation in hospital activity following completion of treatment for childhood and adolescent cancer in Yorkshire and the impact on survival. Full Time, awarded February 2017.
Christopher D. Lethaby, MD - Time to diagnosis of cancer in children and young adults in secondary care services. Full Time, awarded August 2013.
Undergraduate and Taught Postgraduate Student Education
Previous and current teaching committments include module management, disseration supervision, leading small group tutorials and production of course materials and assessments. My areas of activity focus on student eduction in statistics and research methods for medical undergraduate students, as well as research led activities for postgraduate students. In addition, I held the role of depute programme lead for the MSc in Epidemiology and Biostatistics from 2014 to 2017.
Research groups and institutes
- Leeds Institute of Cardiovascular and Metabolic Medicine
- Clinical and Population Science
- British Heart Foundation - Cardiovascular research
Current postgraduate researchers
<li><a href="//phd.leeds.ac.uk/project/326-computational-phenotyping-of-post-myocardial-infarction-healthcare-burden:-a-large-scale-electronic-healthcare-records-study">Computational phenotyping of post myocardial infarction healthcare burden: a large scale electronic healthcare records study</a></li>