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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; and comparative effectiveness using data from the KEMRI-Wellcome Trust Clinical Information Network.
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).
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.
Implications of lower risk thresholds for statin treatment in primary prevention: analysis of CPRD and simulation modelling of annual cholesterol monitoring.
McFadden E. et al, (2015), Prev Med, 70, 14 - 16
The relationship between obesity and exposure to light at night: cross-sectional analyses of over 100,000 women in the Breakthrough Generations Study.
McFadden E. et al, (2014), Am J Epidemiol, 180, 245 - 250
Timing of pubertal stages and breast cancer risk: the Breakthrough Generations Study.
Bodicoat DH. et al, (2014), Breast Cancer Res, 16
Body mass index, exercise, and other lifestyle factors in relation to age at natural menopause: analyses from the breakthrough generations study.
Morris DH. et al, (2012), Am J Epidemiol, 175, 998 - 1005
Self-rated health does not explain the socioeconomic differential in mortality: a prospective study in the EPIC-Norfolk cohort.
McFadden E. et al, (2009), J Epidemiol Community Health, 63, 329 - 331