School of Medicine
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Matthew Grainge

Associate Professor in Medical Statistics, Faculty of Medicine & Health Sciences

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Biography

Dr Matthew Grainge achieved his BSc in Statistics at Reading University and his MSc in Medical Statistics at the University of Leicester, before going on to complete his PhD on the topic of cervical screening and human papillomavirus at the University of Nottingham.

Expertise Summary

Adoption of novel methodological techniques in the design and analysis of data from clinical trials, observational studies and systematic reviews

Risk prediction and prognostic modeling studies

Use of electronic health datasets, e.g. Clinical Practice Research Datalink.

Systematic reviews of diagnostic test accuracy studies

Data management and analysis using R and Stata software

I also have a passion for teaching statistics and evidence based medicine to medical students and other health professionals and sharing best pedagogic practice in this area.



Teaching Summary

Module convenor:

  • Data Organisation and Management in Epidemiology - Master of Public Health (Global Health)
  • Evidence Based Medicine - Year 3 BMedSci
  • Homebase coordinator for year 3 BMedSci dissertation projects

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University administration

  • Faculty of Medicine and Health Sciences Honours Year Group Member

Research Summary

My role involves the application of novel statistical and methodological approaches to address real world problems encountered by the NHS and other healthcare decision makers. My principal research… read more

Selected Publications

  • Member of the National Lymphoma Health Data Study Group
  • Member of the Cochrane Diagnostic Test Accuracy Editorial team
  • Fellow of the Royal Statistical Society

Current Research

My role involves the application of novel statistical and methodological approaches to address real world problems encountered by the NHS and other healthcare decision makers. My principal research activity involves use of electronic health datasets to carry out research in the clinical areas of rheumatology, haematology, oncology, gastroenterology and rare disease epidemiology. Specific examples are::

  • Using prospective data from electronic health datasets to identify transient risk factors for venous thromboembolism (VTE) in high risk groups (e.g. people with cancer, pregnant women and inflammatory bowel disease patients)
  • Risk prediction (prognostic) modeling
  • Cancer screening, chemoprevention and early diagnosis.
  • Adoption of novel methodological techniques in the design and analysis of data from clinical trials, observational studies and systematic reviews

School of Medicine

University of Nottingham
Medical School
Nottingham, NG7 2UH

Contacts: For admissions enquiries, call 0115 951 5559. For other enquiries, call 0115 823 0031 ext.30031 or please see our 'contact us' page for further details