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I co-ordinate and teach on the Introduction to Study Design and Research Methods module for the Evidence Based Healthcare Programme at the Department for Continuing Education in collaboration with the Centre for Evidence Based Medicine, and am part of the medical statistics teaching group for pre-clinical students in Oxford's Medical Sciences Division. I also co-supervise DPhil students studying survival models for competing risks; comparative effectiveness using data from the KEMRI-Wellcome Trust Clinical Information Network; and personalising long-term management of COPD in primary care.

In 2014 I became a member of the Independent Scientific Advisory Committee (ISAC) that advises the MHRA on research with databases such as the Clinical Practice Research Datalink (CPRD).  

Emily McFadden

MA (Cantab), MSc, PhD

Senior Statistical Epidemiologist

My research focuses on monitoring chronic conditions in primary care.  I’m currently leading the statistical analysis of a project examining the quality and outcomes of care for chronic conditions (such as diabetes and coronary heart disease) in older patients diagnosed with breast, colorectal or prostate cancer.  I am also working on a project examining current practice and optimal strategies for monitoring kidney function in primary care using data from the Clinical Practice Research Datalink (CPRD), and leading the analysis and write-up of a systematic review and meta-analysis of optimal estimating equations for glomerular filtration rate in primary care populations.  

Prior to this I led the statistical component of an HTA project on optimal strategies for monitoring lipid levels in patients at risk or with cardiovascular disease.  Monitoring cholesterol levels is a common clinical activity, but the best lipid measure to use and the best interval for monitoring are not known, and practice varies.  A high proportion of cholesterol measurements reflect only measurement error instead of true changes from baseline, thus modifications in treatments based on these readings could be unnecessary and potentially negative to the individual.  

My previous research focussed on socioeconomic inequalities in health in the EPIC-Norfolk cohort, and night shift work, light at night and the risk of breast cancer in the Breakthrough Generations Study.