Proposed start date: 1st October 2019 (latest)
We are offering a fully-funded, full-time, 3.5 year PhD studentship in Health Economics, Epidemiology or Biostatistics. The position is funded by Yorkshire Cancer Research (YCR) and is based in the section of Health Economics and Decision Science (HEDS), part of the School of Health and Related Research (ScHARR) at the University of Sheffield. We welcome applications to undertake methods research investigating the use of causal inference to estimate transition probabilities for health economic models, or a related area.
State transition models are often used to assess the cost-effectiveness of new cancer treatments, typically with health states for progression-free survival, post-progression survival, and death. When clinical trial data are used to estimate transition probabilities, post-progression estimates are subject to confounding because progression occurs post-baseline. Advanced statistical methods are needed, but are not currently being used in Health Technology Assessment. The student will investigate this issue and will develop appropriate techniques for use in economic modelling. You will be supervised by Dr Nicholas Latimer in conjunction with others from ScHARR.
The supervisory team will be supplemented by experts from around the world, offering the opportunity to develop international collaborations.
ScHARR has over 300 multidisciplinary staff, and 450 postgraduate students from more than 50 countries around the world. It provides an internationally recognised programme of health services and public health research, knowledge transfer and teaching.
For more information about ScHARR visit: http://www.shef.ac.uk/scharr/
YCR works in partnership with researchers, scientists and clinicians, the NHS, Public Health England and other health organisations and charities to make life-changing improvements in cancer care. This PhD should act as a catalyst for change to facilitate the delivery of better cancer services in Yorkshire and further afield. Dr Nicholas Latimer is a Senior YCR Fellow and is using YCR funding to support this PhD studentship.
For more information about YCR visit: https://yorkshirecancerresearch.org.uk/
- Honours Bachelor degree (2.1 or above) in a relevant subject
- Merit (or equivalent) in MSc in health economics, biostatistics, medical statistics, applied statistics, epidemiology or related subject OR equivalent experience
- Strong computer skills including use of statistical software packages, e.g. Stata, R or SAS
- Strong interest in applying statistical thinking and methods to problems in health-related fields
- Good communication skills
- Strong organisational and administrative skills
- Ability to work on own initiative and in a multidisciplinary team
How to apply:
Please complete a University Postgraduate Research Application form available here: http://www.shef.ac.uk/postgraduate/research/apply
Please clearly state the title of the studentship, the prospective main supervisor (Dr Nicholas Latimer) and select ScHARR as the department.
Please also include:
• an outline of your proposed PhD study (approximately 3 pages of A4)
• a covering letter explaining why you wish to apply for this studentship
• a copy of your CV