Professor Mark Strong
BSc MB ChB MPH MSc PhD MRCPCH FFPH FHEA CStat
Population Health, School of Medicine and Population Health
Dean of the School of Medicine and Population Health
Professor of Public Health
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Full contact details
Population Health, School of Medicine and Population Health
Barber House
91Ö±²¥
S10 2HQ
- Profile
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PA: Francesca Baker
Email: f.a.baker@sheffield.ac.uk
I am Dean of the School of Medicine and Population Health (SMPH) and a Professor of Public Health.
I also hold an honorary clinical consultant contract with the at the Department of Health and Social Care.
- Research interests
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I have three related research interests that fall under the general banner of Uncertainty Quantification:
- How do we properly account for all relevant uncertainties when we build a computer model of a physical, biological or social system?
- How do we (efficiently) compute value of information?
- How do we work out the value of a computer model? How much should we pay to make a simple model more complex? When do we stop increasing the complexity of a model?
, Jim Chilcott and I have proposed an "internal" discrepancy-based method for managing model uncertainty. See , and that develops the idea of the 'Expected Value of Model Improvement'. The method is discussed in more detail in my .
We have proposed an efficient method for computing partial EVPI. This method works for any number of parameters of interest and requires only the PSA sample. See this in Medical Decision Making. R functions to implement the method can be downloaded here.
Our online web calculator for partial EVPI, , is easy to use: Just upload your PSA sample and SAVI does the rest.
SAVI is also available as an R package from GitHub. This allows users to run the SAVI app on their own machine, and removes the need to transfer any data over the net. Installation instructions.
The partial EVPI method extends nicely to the computation of EVSI. See here for our .
Current and recent projects
- Calibrated Agent Simulations for Combined Analysis of Drinking Etiologies (CASCADE): A US National Institutes of Health funded project on alcohol consumption (2016-2021). PI - Robin Purshouse.
- Systems Science in Public Health and Health Economic Research (): A major UK Prevention Research Partnership funded project that will generate evidence for healthy public policy through a systems-science approach (2019-2024). PI - .
- Publications
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- Research group
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PhD students
- Teaching interests
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I teach on the Master in Public Health (MPH) course, the MSc in Health Economics and Decision Modelling course, and the medical undergraduate MB ChB degree. I also support registrars on the who are taking the DFPH exam.
PhD opportunities
I welcome PhD applications at any time. You are welcome to email me to discuss an idea before making an application. I supervise students who are interested in the topics of Value of Information and Uncertainty Quantification in health economic decision making.
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