英国埃克塞特大学 3年医学统计博士招生

山姆大叔

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本科硕士不限
PhD studentship in Medical Statistics (full time, 3 years) - University of Exeter Medical School
Applications are invited for a PhD studentship at the University of Exeter Medical School (UEMS). We are seeking to attract a PhD candidate of outstanding ability to join a rapidly expanding programme of internationally rated research.
The successful applicant will pursue a project investigating new statistical techniques for sensitivity analysis in medical research. This is an exciting opportunity to contribute to developing statistical methodology for quantifying bias when estimating the effectiveness of medical interventions. The studentship is due to commence in Autumn 2014 and is linked to a project funded by the Medical Research Council (MRC) Methodology Research Panel and forms part of a growing programme of work on sensitivity analysis methods.

Applicants should hold, or expect to obtain, an upper second-class honours degree or above in Statistics or Mathematics, or a degree with substantial quantitative component, such as Quantitative Health Sciences, Psychology, Economics, Engineering, Computer Science or Physics. A Masters degree or work experience in a relevant area would be an advantage. International applicants are welcome.  Non UK candidates must have IELTS  score of at least 7 or a degree taught in a majority English speaking country.

Research area: Health statistics

Title: A unifying approach to quantifying bias in sensitivity analysis for treatment effects

Project outline: Risk of bias due to uncertainty about untestable assumptions is common in both observational studies and randomised controlled trials. Complete control for the risk of bias is unlikely in practice, but its impact can be estimated by means of sensitivity analyses(Lin, Logan and Henley, 2013). The aim of this project is to develop a unifying approach for sensitivity analysis, facilitate efficient implementation and make the proposed approach accessible. The unifying approach will make it possible to systematically integrate the assessment of bias into conventional analyses for a range of statistical models (including logistic regression, survival analysis, Poisson regression, meta-analysis) for both randomized and non-randomized studies.  Application of these methods will help facilitate better research planning, reporting and decision making.

References
Lin NX, Logan S, Henley WE (2013). Bias and sensitivity analysis when estimating treatment effects from the Cox model with omitted covariates. Biometrics 69: 850-60.

Closing date for applications: 1 p.m. on Monday 7th July 2014.
Start date: Sep 2014
Value:  ￡13,863 pa plus tuition fees at UK/EU rate
Further Particulars are available at http://www.exeter.ac.uk/studying/funding/award/?id=1506
Please contact UEMS Graduate Research in the first instance for more details (UEMS-GraduateResearch@ex.ac.uk)

Informal discussion is welcomed and candidates are invited to contact Professor William Henley (Director of studies, W.E.Henley@exeter.ac.uk), Dr Nan Lin (N.Lin@exeter.ac.uk) or Dr David Llewellyn (David.Llewellyn@exeter.ac.uk)

How to apply:
Please send a CV, Covering letter (outlining your academic interest in Health Statistics and the research project, prior research experience, and reasons for wishing to undertake the project) and copies of transcripts of degrees/awards to UEMS Graduate Research (at UEMS-GraduateResearch@ex.ac.uk) by 1 p.m. on Monday 7th July 2014 at the very latest. ***Please quote Health statistics and the project title on your application and in any correspondence about this vacancy.

Funding Notes: The starting stipend for this studentship will be ￡13,863 p.a.(tax-free). Tuition fees will be paid at the UK/EU rate. Candidates from countries outside the European Union will be liable for the difference between 'home student fees' and 'international student fees’ which was ￡14,000 in 13/14 but is likely to increase slightly each year. Non-EU students who wish to be considered for the current studentships must confirm their ability to pay the international portion of the fee. If selected, financial assurances will be required.

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