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medical statistics PhD Projects, Programs & Scholarships

We have 96 medical statistics PhD Projects, Programs & Scholarships

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  Advancing Methodology for Clinical Prediction
  Dr M Sperrin, Dr G P Martin
Applications accepted all year round

Funding Type

PhD Type

Clinical prediction models (CPMs) take what we know about a person and predict the probability of subsequent outcomes using a regression model or algorithm [1].
  Developing prognostic models in early psychosis through digital interventions
  Dr S Bucci, Dr G P Martin, Dr M Sperrin
Applications accepted all year round

Funding Type

PhD Type

Psychosis is a severe mental health problem characterised by unusual experiences such as hallucinations and persecutory beliefs; it is a major cause of distress, disability and personal and societal burden.
  Molecular, Genetic and Lifecourse Epidemiology Wellcome Trust 4 year PhD Programme

Funding Type

PhD Type

Wellcome Trust 4-year PhD Programme in Molecular, Genetic and Lifecourse Epidemiology (MGLE). We are seeking enthusiastic scientists to join the next generation of inter-disciplinary researchers who will exploit the wealth of new data being generated in population health sciences.
  EASTBIO Antimicrobial peptide signalling to CD8+ T cells
  Dr E Gwyer Findlay, Dr M Swamy
Application Deadline: 5 January 2020

Funding Type

PhD Type

CD8+ T cells are essential for robust immune responses to pathogens, particularly in the intestine. We are interested in how antimicrobial peptides – released from neutrophils and mucosal epithelial cells – affect the differentiation of, and cytokine production by, CD8+ T cells.
  EASTBIO Dissecting the role of the immune system in tumour initiation using experimental & computational analysis
  Dr Y Feng, Dr L Schumacher
Application Deadline: 5 January 2020

Funding Type

PhD Type

The mechanisms that modulate the pre-neoplastic stage of tumourigenesis in vivo are largely unknown due to the lack of suitable animal models.
  Precision Medicine DTP - Delirium as an acute brain injury in hospital inpatients: can clinical features and biomarkers predict outcomes?
  Prof A Maclullich, Dr D McAllister, Dr S Shenkin
Application Deadline: 8 January 2020

Funding Type

PhD Type

Additional Supervisor - Dr Matthew Reed. Background. Delirium is a severe medical emergency that is triggered by acute medical illness, drugs, trauma or surgery.
  Artificial intelligence and machine learning for clinical prediction: Evaluating design, conduct, reporting and 'spin' #NDORMS-2020/3
  Prof G Collins, Dr M Schlussel, Dr P Dhiman, Dr J de Beyer
Application Deadline: 10 January 2020

Funding Type

PhD Type

1. Professor Gary Collins. 2. Dr Michael Schlussel. 3. Dr Paula Dhiman. 4. Dr Jennifer de Beyer. Artificial intelligence (AI) and machine learning (ML) are increasingly seen as solutions to many healthcare problems (e.g., for risk prediction, imaging), and the pace of development is showing no signs abating.
  Longitudinal trajectories of renal function, and dynamic prediction of progression to end-stage renal disease: a data-driven analysis and validation using regression and machine learning methods in a bi-national population-based cohort #NDORMS-2020/1
  Prof D Prieto-Alhambra, Dr V Strauss, Dr S Khalid, Dr D Robinson
Application Deadline: 10 January 2020

Funding Type

PhD Type

1. Prof Daniel Prieto-Alhambra. 2. Dr V Strauss. 3. Dr Sara Khalid. 4. Dr Danielle Robinson. 5. Dr Laurie Tomlinson. There is a scarcity of data on the natural history of chronic kidney disease (CKD) in the general population, and on markers of rapid progression to end-stage renal disease (ESRD).
  Strategies of handling missing data in federated data network #NDORMS 2020/9
  Prof D Prieto-Alhambra, Dr V Strauss, Dr A Delmestri, Prof I Petersen
Application Deadline: 10 January 2020

Funding Type

PhD Type

The use of electronic healthcare data is increasingly being proposed as a source of evidence to support drug development and regulatory decision making but also to understand the pathogenesis of diseases.
  EASTBIO: Investigating the effect of underutilised, emerging, polyphenol-rich berries on cardiometabolic health.
  Dr N Hoggard, Dr V Rungapamestry, Dr G McDougall
Application Deadline: 5 January 2020

Funding Type

PhD Type

Supervisors. Dr Nigel Hoggard (University of Aberdeen). http://www.abdn.ac.uk/rowett/research/nigel-hoggard.php. Dr Vanessa Rungapamestry (University of Aberdeen).
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