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Associate Professor Marlous Hall

University of Leeds, Leeds (United Kingdom of Great Britain & Northern Ireland)
Membership: ESC Professional Member
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Biography
Dr Hall is an Associate Professor of Epidemiology with an established research group focused on understanding the long term outcomes for individuals with cardiovascular disease and multiple long term health conditions. She is based at the Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM) and Leeds Institute for Data Analytics (LIDA) at the University of Leeds - where she leads the LIDA Health Community and is Deputy Head of the Clinical and Population Sciences Department. Dr Hall holds significant Wellcome Trust and British Heart Foundation funding - aimed primarily at inclusive evidence generation for the management of myocardial infarction in the presence of multimorbidity. She has extensive expertise in applying advanced methodologies to nationwide observational data including multistate modelling, flexible parametric survival modelling and causal inference approaches to generate patient and public benefit from real-world health data at scale.
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Contributor content

Health outcomes after myocardial infarction: a population study of 56 million people in England
Presentation
Health outcomes after myocardial infarction: a population study of 56 million people in England
Beta blocker use and mortality in hospital survivors of acute myocardial infarction without heart failure.
Presentation
Beta blocker use and mortality in hospital survivors of acute myocardial infarction without heart failure.
Geographic variation in the treatment of non ST-segment elevation myocardial infarction: a national cohort study.
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Geographic variation in the treatment of non ST-segment elevation myocardial infarction: a national cohort study.
Do temporal changes in patient characteristics account for improved outcomes in patients with NSTEMI? A population-based cohort study
Presentation
Do temporal changes in patient characteristics account for improved outcomes in patients with NSTEMI? A population-based cohort study

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