University of Sheffield
Regent Court, 30 Regent Street
Sheffield, S1 4DA
Tel: (+44) (0)114 222 6380
Fax: (+44) (0)114 222 0749
I am an NIHR Doctoral Research Fellow based in the Health Economics and Decision Science section of the University of Sheffield. My academic background includes an MSc in Applied Statistics (Merit) and a BSc in Mathematics (1st) which included an "Institute for Mathematics and its Applications" prize for outstanding achievement. My research interests lie in the use of statistical methods to inform model-based economic evaluations. My fellowship shall look at producing guidance on good practice methods for predicting future outcomes in health technology assessment (HTA). This is important as HTA typically requires evidence on lifetime outcomes, but the available data only span outcomes for a limited number of years. Many different methods are available to produce extrapolations and guidance is required to help choose between these.
I have extensive experience in HTA and the use of statistical methods within this. I have led a number of projects, including: the first UK options-appraisal of screening for ovarian cancer, evaluating pathway (service) re-design options for individuals with diabetes and depression, and the cost-effectiveness of treatments for peripheral arterial disease. I have worked for a variety of decision-makers and clients including The National Institute for Health and Care Excellence, the Department of Health, NHS Cancer Screening Programmes, and pharmaceutical companies. I have also employed a number of different health economic modelling methods, including: discrete event simulation; transition state modelling; Bayesian calibration and value of information analyses. Further, I have been involved in a number of different statistical analyses. These include: time series analysis; survival analysis; prevalence modelling; mediation analysis; and statistical process control.
I am the Health Economics and Decision Science lead for the ScHARR Information Governance Committee, and the deputy module lead for HAR6119: Building Cost-effectiveness Models for Health Technology Assessment (online)
- The use of statistics in health economics.
- Extrapolation and time-series analyses.
- Survival analysis and model uncertainty.
- Vascular disease, cancer, depression.
- Chronic diseases, mental ill health, and their interactions.
- The use of health economics for pathway (service) re-design.
- Mathematical modelling, including simulation.
I teach (or have taught) students on the following courses:
- HAR6119: Building Cost-effectiveness Models for Health Technology Assessment (Deputy module leader).
- HAR6240: Health Service Research Methods
- HAR6059: Informatics for Public Health
- HAR667: Cost-effectiveness Modelling for Health Technology Assessment
- HAR672: Advanced Simulation Methods
- HAR669: Health Research Methods
I have also supervised Masters dissertations for the MSc Health Economics and Decision Modelling, the Master of Public Health (Management and Leadership), and the MSc Statistics with Medical Applications.
My teaching interests include:
- The use of decision-analytical models (Decision Trees and Markov Models) in technology assessment.
- Incorporating and evaluating uncertainty within decision-analytical models.
- Uses of observational data and alternatives to randomised controlled trials.
- Within ScHARR, I am a member of the Modellers Academic Group, Statistical Academic Group, the Public Involvement Group, and the Big Data Group.
- I am a member of, and the public involvement lead for, the CLAHRC Yorkshire and Humber Health Economics and Outcome Measurement Theme.
- I am a Fellow of the Royal Statistical Society.
- I am an invited expert for the NICE Scientific Advice programme.
- I regularly peer-review journal articles (inc. The Lancet and BMJ), funding submissions (NIHR and MRC) and conference abstracts (SMDM). I have also been a Guest Academic Editor for PLOS One.
- I have undertaken privately commissioned work for industrial companies and a University and have been invited to deliver talks at a number of international conferences.
- A review of survival analysis methods used in NICE technology appraisals of cancer treatments: Consistency, limitations and areas for improvement. Medical Decision Making. View this article in WRRO
- Generalized linear models for flexible parametric modeling of the hazard function. Medical Decision Making, 39(7), 867-878. View this article in WRRO
- The cost-effectiveness of changes to the care pathway used to identify depression and provide treatment amongst people with diabetes in England: a model-based economic evaluation. BMC Health Services Research, 17(1), 78-78. View this article in WRRO
- Cost-effectiveness of screening for ovarian cancer amongst postmenopausal women: a model-based economic evaluation. BMC Medicine, 14(1), 200-200. View this article in WRRO
- Good practice guidelines for the use of statistical regression models in economic evaluations.. Pharmacoeconomics, 31(8), 643-652.
- How uncertain is the survival extrapolation? A study of the impact of different parametric survival models on extrapolated uncertainty about hazard functions, lifetime mean survival and cost effectiveness. PharmacoEconomics. View this article in WRRO