Bayesian Statistics in Health Economics
School of Mathematics and Statistics, and School of Health and Related Research,
University of Sheffield.
To start September 2013
Applications are invited for a full-time PhD studentship within the Centre for Bayesian Statistics in Health Economics (CHEBS)
at the University of Sheffield, a collaboration between the School of
Mathematics and Statistics, and the School of Health and Related Research. The
student will be based in the School of Mathematics and Statistics, working
under the supervision of Dr Jeremy Oakley, and will be co-supervised by Dr John
Stevens at the School of Health and Related Research.
The field of health economics is developing rapidly with the increasing emphasis
being placed on value for money by health care providers world wide. In the UK,
the National Institute for Health Clinical Excellence (NICE) has been charged
with advising the National Health Service on cost effectiveness. There are
various statistical challenges in assessing the cost-effectiveness of any
treatment, and the use of Bayesian methods has become increasingly popular.
Current research themes of interest in CHEBS are described here:
and the PhD project will be drawn from one of these or related themes. The
student will be able to choose his or her topic within the first year.
Applicants should have a good honours degree (I or IIi) in Mathematics or
The studentship includes fees for UK and EU students, and a tax-free stipend at the standard rate, increasing annually in line with the national minimum stipend rate.
To apply for this studentship, please follow the procedures described here:
Please indicate clearly in your application that you are applying for the CHEBS
The deadline for applications is April 15th.
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