Eva Morris
PhD
Professor of Health Data Epidemiology
Eva Morris studied Neuroscience at the University of Edinburgh (1993-1998) before undertaking a PhD in Cancer Epidemiology and Health Services Research at the University of Leeds (2001-2004). After a short period working in Public Health at the University of Newcastle, she then returned to Leeds to work with the regional cancer registry and, subsequently, the National Cancer Intelligence Network to undertake large-scale population-based studies based on linked administrative health datasets. In 2008 she was awarded a Cancer Research UK Career Development Fellowship and made a Professor of Cancer Epidemiology in 2015. She has a portfolio of research based around the use of linked datasets to investigate the management of colorectal cancer and so generate evidence that will drive improvements in care and outcome.
In 2019, Eva moved to Oxford as a Professor of Health Data Epidemiology within the Big Data Institute and the Nuffield Department of Population Health. Here she continues to work in the field of health data research with a continued interest in national cancer datasets.
Recent publications
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Impact of the SARS-CoV-2 pandemic on female breast, colorectal and non-small cell lung cancer incidence, stage and healthcare pathway to diagnosis during 2020 in Wales, UK, using a national cancer clinical record system.
Journal article
Greene G. et al, (2022), Br J Cancer
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The CANGEN-CANVAR Programme: Delivering better tools for prevention and early detection in hereditary cancer syndromes
Conference paper
Turnbull C. et al, (2022), EUROPEAN JOURNAL OF HUMAN GENETICS, 30, 17 - 18
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Cancer Trial Impact: Understanding Implementation of the Short Course Oncology Treatment Trial Findings at a National Level.
Journal article
Hanna CR. et al, (2022), Clin Oncol (R Coll Radiol)
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Combining faecal immunochemical testing with blood test results for colorectal cancer risk stratification: a consecutive cohort of 16,604 patients presenting to primary care.
Journal article
Withrow DR. et al, (2022), BMC Med, 20
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Immortal time bias in older vs younger age groups: a simulation study with application to a population-based cohort of patients with colon cancer
Preprint
Pilleron S. et al, (2022)