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We are looking for an outstanding candidate with first-class or strong upper second-class undergraduate degree with honours (or equivalent international qualifications) in a quantitative discipline (eg, Statistics, Operation Research, Economics, Epidemiology, Applied Mathematics) or, if in different discipline, the inclusion of substantial and well-graded quantitative component and an interest in developing health-related research.

DPhil project: Extrapolation methods for health outcomes and costs in diabetes randomised trials Supervisors:   Associate Professor Borislava Mihaylova, Associate Professor Louise Bowman, Dr Jose Leal

The deadline for completed application forms is 4pm (GMT) 13 February 2017.

Diabetes develops over a long time, has substantial costs and is associated with high morbidity and mortality. Randomised trials provide key effectiveness data but are limited to a few years duration and computer simulation models support longer term evaluations. The project’s aim is to develop the methods for the assessment of long-term effects of aspirin in diabetes. The work will include reviews of current methods, evidence synthesis and diabetes multi-state model development. The 15,000-patient individual participant data of ASCEND (A Study of Cardiovascular Events iN Diabetes) trial (7.5 years mean follow-up) and other data will be used.

For further information contact A/Prof Borislava Mihaylova on

Link to detailed project description:

How to apply: