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I am currently working on 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 role in the project focuses on creating statistical models that will be used to help understand the implications of different monitoring schedules and examining the impact of lipid choice on CVD risk scores.
I’m also involved in an NSPCR project that aims to validate the performance of a series of risk prediction scores developed in the QResearch database using CPRD data. I help co-ordinate the Introduction to Study Design and Research Methods module for the MSc in Evidence Based Health Care, I'm supervising a DPhil student and am part of the statistics teaching group for pre-clinical courses.
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.