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Medical Statistics PhD Projects, Programmes & Scholarships

We have 53 Medical Statistics PhD Projects, Programmes & Scholarships

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We have 53 Medical Statistics PhD Projects, Programmes & Scholarships

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Stochastic simulation, analysis, and inference of non-linear dynamical systems

  Research Group: Statistical Medicine and Molecular Biology
This project will develop a novel framework for stochastic modelling, simulation, analysis, and statistical inference for dynamical systems. Read more

Incorporating gene network dynamics to cell population models

  Research Group: Statistical Medicine and Molecular Biology
This project will attempt to merge two fascinating areas of mathematical modelling, simulation, and statistical inference in cell biology. Read more

Identifying complex spatio-temporal biomarkers of brain diseases

  Research Group: Statistical Medicine and Molecular Biology
Bayesian models today are providing the tools to explore the complexity of brain architecture. Therefore, there is a crucial need for leading researchers with an in-depth comprehension of the current challenges in neuroscience and the quantitative skills to develop cutting-edge solutions. Read more

Approaches for the design of prostate proteomic projects and their analysis integrated with other molecular data

  Research Group: Statistical Medicine and Molecular Biology
The CRUK-funded International Cancer Genome Consortium prostate has generated whole-genome sequencing data, DNA-methylation sequencing data, mRNA expression data and small RNA data for a cohort of prostate cancer patients. Read more

Methods to account for delay in registration of outcomes in trials

Some clinical trials use active follow-up of participants to obtain data on outcomes. For example, data on safety and efficacy outcomes might be obtained during follow-up appointments with a research nurse. Read more

Using existing data to optimise adaptive interventions in epilepsy

Approximately half of patients with newly diagnosed epilepsy who start antiepileptic drug (AED) monotherapy fail on their first treatment, after which the clinician and patient will discuss the likely overall prognosis and decide on the next AED to start. Read more

Getting the questions right: Developing guidance and exemplars for a multi-stakeholder approach to estimands in cancer clinical trials

Estimands are used in clinical trials to ensure that we are asking (and answering) the right research questions. The estimand framework provides a structured approach for explicit specification of what we plan to estimate in order to address the questions that are important to different stakeholders(1). Read more

On the value of randomisation in designing small population clinical trials

Phase II trial designs, conventionally in a homogeneous patient population, can be subdivided into two distinct types. i) single-arm (non-randomised) designs comparing the efficacy against historical controls, ii) randomised designs with a contemporary control arm. Read more

Seamless phase I/II adaptive designs for precision medicine trials

The primary objective of phase I clinical trials is to estimate the maximum tolerated dose, the highest dose level that maintains the risk of toxicity below a target level. Read more

Master protocol trials for the development of oncology drugs

Master protocols expedite drug development by testing multiple drugs and/or multiple cancer subpopulations in parallel under a single protocol, without the need to develop new protocols for each of the parallel sub-studies. Read more

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