Statistics (evaluation) PhD Projects, Programmes & Scholarships

We have 6 Statistics (evaluation) PhD Projects, Programmes & Scholarships

NIHR Leeds BRC: Network meta-analysis methods for assessment of complex interventions in the early phase setting

University of Leeds Faculty of Medicine and Health

Rehabilitation aims to enhance and restore functioning and quality of life and treatment interventions can be multiple and varied, for example, medication, physiotherapy, nutrition, life style interventions, devices. Read more

Supervisors: Prof D Stocken, Mr N Corrigan, Dr R Walwyn

26 May 2024 PhD Research Project Competition Funded PhD Project (UK Students Only)

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NIHR Leeds BRC: Utilising genetic and genomic predictors of vasculitis and disease/treatment complications for application in routine clinical practice

University of Leeds Faculty of Medicine and Health

There is substantial interest in using genetic biomarkers to predict those most at risk of disease and treatment complications; this is one of the focuses of Our Future Health, a national study aiming to recruit 5M participants ( https://ourfuturehealth.org.uk/ ). Read more

Supervisors: Prof A Morgan, Dr MM Iles, Dr R Mujica-Mota

26 May 2024 PhD Research Project Competition Funded PhD Project (UK Students Only)

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UCL SECReT: The International Training Centre for Security and Crime Research Degrees

University College London UCL SECReT

UCL's Security Science Doctoral Research Training Centre (UCL SECReT) was founded in 2009 with support from the Engineering and Physical Sciences Research Council (ESRC) and an array of public and private sector organisations working in crime reduction security and law enforcement. Read more

Funded PhD Programme (UK Students Only) EPSRC Centre for Doctoral Training

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Network-based predictive modelling of cardiovascular disease risk

University of Liverpool Institute of Systems, Molecular and Integrative Biology

The risk of cardiovascular disease (CVD) is orchestrated by multiple factors. QRISK models (currently QRISK3) have been used in the UK to estimate CVD risk within the next 10 years for individuals without CVD. Read more

Supervisor: Dr T You

Year round applications PhD Research Project Self-Funded PhD Students Only

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Understanding the uncertainty in the decomposition of cancer gene or protein expression data

University of St Andrews School of Mathematics and Statistics

Research Group: Division of Statistics

Many tools exist that will take the expression profile of a tumour sample and decompose that signal into components arising from different tissue types (e.g. Read more

Supervisors: Dr M Papathomas, Prof A Lynch

Year round applications PhD Research Project Competition Funded PhD Project (Students Worldwide)

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Propagation of uncertainty for signatures of mutational processes

University of St Andrews School of Mathematics and Statistics

Research Group: Division of Statistics

There is a trend, especially in cancer research, to i) take a set of DNA mutations ii) cross-categorize them by patient and mutational characteristic and iii) decompose the resulting counts matrix into two sets of vectors – one set representing the mutational impact of specific mutagens and one set representing the exposure of individuals to those mutagens. Read more

Supervisors: Dr M Papathomas, Prof A Lynch

Year round applications PhD Research Project Competition Funded PhD Project (Students Worldwide)

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We have 6 Statistics (evaluation) PhD Projects, Programmes & Scholarships

Statistics (evaluation) PhD Projects, Programmes & Scholarships

We have 6 Statistics (evaluation) PhD Projects, Programmes & Scholarships

NIHR Leeds BRC: Network meta-analysis methods for assessment of complex interventions in the early phase setting

NIHR Leeds BRC: Utilising genetic and genomic predictors of vasculitis and disease/treatment complications for application in routine clinical practice

UCL SECReT: The International Training Centre for Security and Crime Research Degrees

Network-based predictive modelling of cardiovascular disease risk

Understanding the uncertainty in the decomposition of cancer gene or protein expression data

Propagation of uncertainty for signatures of mutational processes

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