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Developing new methods for computing confidence intervals for clinical trials with subpopulation selection

   Warwick Medical School

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  Dr Peter Kimani, Prof Nigel Stallard  No more applications being accepted  Funded PhD Project (Students Worldwide)

About the Project

PhD in Interdisciplinary Biomedical Research

Fully funded studentship available for entry in September 2022 

This industrial Collaborative Award in Science and Engineering (iCASE) studentship is offered by Warwick’s MRC Funded Doctoral Training Partnership (DTP). The training program involves an exciting one-year MSc in Interdisciplinary Biomedical Research and then a three-year PhD project, co-supervised by experts from both academia and industry. Students join a dynamic DTP community, which includes advanced workshops, transferable skills training, careers support and cohort learning events and conferences with ~50 other students.

We are constantly working to create a supportive and inclusive environment to help students achieve their best potential, through promoting equality and challenging discrimination. We want our students to feel heard and valued for their hard work. We welcome and encourage applications from minoritised groups that are under-represented in academia.

Project summary

It is widely recognised that experimental therapies may only benefit a subset of a patient population. An efficient clinical trial design to test whether an experimental therapy is effective and for which part of the population is the two-stage adaptive enrichment design. The trial initially recruits from the full patient population and then, partway through the trial, an interim analysis is performed to select the subpopulation where the experimental therapy is promising. Recruitment after interim analysis is restricted to this subpopulation. However, the existing method for computing a confidence interval (CI) that adjusts for subpopulation selection at interim analysis, is known to be inaccurate. The aim of this exciting and important PhD project is to develop new methods that give confidence intervals with much better properties. This project offers the successful candidate an opportunity to experience and contribute to front line research and development in academia and a large pharmaceutical company.

Industry Partner: Novartis


Year One l MSc

Students undertake a series of taught modules, including Frontier Techniques in Biomedical Research, Physical Biology of the Cell, Microscopy and Imaging, Mathematical Modelling, Mass Spectrometry, and two laboratory-based research projects. 

Years Two, Three and Four l PhD project 

Student support

Students receive outstanding mentoring, careers and pastoral support throughout the programme.


Entry requirements

Candidates must have:

  • An excellent undergraduate degree (2:i or above) in statistics, mathematics or a related discipline.
  • A background in, or a working understanding of, biology, biomedicine or biochemistry. 

How to apply

If you are interested in joining our DTP community, please apply here by 15 February 2022. Interviews will take place in the week commencing 4 April 2022.

For further information please see

Funding Notes

Studentships cover full fees, consumables, conference attendance and an annual stipend (£18,340 in 2022/23*). Students can also apply for additional funding from the DTP for advanced training workshops, international or industry placements, internships and career transition support.
* Estimated stipend amount; exact figure to be confirmed
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