Projects per year
Personal profile
Research interests
Clincial Trials
I pursue research into the design and analysis of clinical trials. I have worked on sequential methods, which are used to monitor trials and make decisions on when to stop a study. My book with Professor Bruce Turnbull, "Group Sequential Methods with Applications to Clinical Trials", is a standard text on this topic, widely used by practising statisticians. More recently, I have worked on adaptive clinical trial designs which allow a broader range of interim decision making, such as treatment selection or re-defining the target population, during the course of a trial. This research is informed by experience of clinical trial analysis at the Dana Farber Cancer Institute, Boston, consultancy with medical research institutes and pharmaceutical companies, and participation in clinical trial data monitoring committees. I am a member of the DIRECT consortium (funded by the EU Innovative Medicines Initiative) and the MASTERMIND project (funded by the MRC and ABPI), which are exploring personalised treatment strategies for patients with type 2 diabetes.
Image Analysis and MCMC
I also have interests in the statistical image analysis, spatial statistics and the computational methods used to fit complex models to large data sets. Here, the application areas range from medical and biological data to remote sensing and modelling the atmosphere. With motivation from these applications, I have worked on aspects of Markov chain Monte Carlo simulation, including perfect sampling, mode jumping and methods for sampling distributions which are almost confined to a subspace of the parameter space.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Projects
- 4 Finished
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IAA: Mathematical Investigation into the Methods used in Classical Quantitative Risk Assessment in the Energy and Process Industries
Shardlow, T., Budd, C., Jennison, C., Lindgren, F. & Scheichl, R.
Engineering and Physical Sciences Research Council
1/05/14 → 31/01/15
Project: Research council
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ELECTRON SPIN RESONANCE IMAGING: A FUNCTIONAL IMAGING TOOL FOR BIOMEDICAL SCIENCE
Wolverson, D., Clarke, C., Davies, J., Jennison, C. & Rodger, D.
Biotechnology and Biological Sciences Research Council
1/10/06 → 31/03/10
Project: Research council
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Discussion on “Adaptive enrichment designs with a continuous biomarker” by N. Stallard
Jennison, C., 28 Mar 2022, (E-pub ahead of print) In: Biometrics.Research output: Contribution to journal › Comment/debate › peer-review
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Robust group sequential designs for trials with survival endpoints and delayed response
Ghosh, P., Ristl, R., König, F., Posch, M., Jennison, C., Götte, H., Schüler, A. & Mehta, C., 28 Feb 2022, In: Biometrical Journal. 64, 2, p. 343-360 18 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile6 Downloads (Pure) -
Adaptive enrichment trials: What are the benefits?
Burnett, T. & Jennison, C., 10 Feb 2021, In: Statistics in medicine. 40, 3, p. 690-711 22 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (SciVal) -
Optimizing subgroup selection in two-stage adaptive enrichment and umbrella designs
Ballarini, N. M., Burnett, T., Jaki, T., Jennison, C., König, F. & Posch, M., 30 May 2021, In: Statistics in medicine. 40, 12, p. 2939-2956 18 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Processes Underlying Glycemic Deterioration in Type 2 Diabetes: An IMI DIRECT Study
IMI DIRECT consortium, 1 Feb 2021, In: Diabetes Care. 44, 2, p. 511-518 8 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile3 Citations (SciVal)19 Downloads (Pure)