Publications

  1. et. al. Effects and costs of implementing predictive risk stratification in primary care: a randomised stepped wedge trial. BMJ Quality & Safety, bmjqs-2018-007976
  2. et. al. Paramedic Assessment of Older Adults After Falls, Including Community Care Referral Pathway: Cluster Randomized Trial. Annals of Emergency Medicine 70(4), 495-505.e28.
  3. et. al. Support and Assessment for Fall Emergency Referrals (SAFER) 2: a cluster randomised trial and systematic review of clinical effectiveness and cost-effectiveness of new protocols for emergency ambulance paramedics to assess older people following a fall with referral to community-based care when appropriate. Health Technology Assessment 21(13), 1-218.
  4. et. al. Infliximab versus ciclosporin for steroid-resistant acute severe ulcerative colitis (CONSTRUCT): a mixed methods, open-label, pragmatic randomised trial. The Lancet Gastroenterology & Hepatology 1(1), 15-24.
  5. & Comparison Of iNfliximab and ciclosporin in STeroid Resistant Ulcerative Colitis: pragmatic randomised Trial and economic evaluation (CONSTRUCT). Health Technology Assessment 20(44), 1-320.

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Teaching

  • PMIM01 Scientific Computing and Healthcare

    The module aims to raise the awareness of students about scientific computing in the field of health data science. It focuses on basic software development workflows, tools, and skills that health data scientists most often employ. Students will also learn about the professional context within which health data scientists operate. Module leader is Dan Thayer

  • PMIM02 Health Data Modelling

    Health data scientists are expected to work with diverse data sources. Modelling data encompasses setting up database models and analysing the data using statistical models. The objective of this module is to raise the awareness of students about the various processes of data modelling and the key operations involved in the data processing of large and diverse datasets. Module leader is Dr Joanne Demmler

  • PMIM102 Scientific Computing and Health Care

    The module aims to raise the awareness of students about scientific computing in the field of health data science. It focuses on basic software development workflows, tools, and skills that health data scientists most often employ. Students will also learn about the professional context within which health data scientists operate. This is a core / compulsory module and worth 20 Masters level credits. Module leader is Dan Thayer

  • PMIM202 Health Data Modelling

    Health data scientists are expected to work with diverse data sources. Modelling data encompasses setting up database models and analysing the data using statistical models. The objective of this module is to raise the awareness of students about the various processes of data modelling and the key operations involved in the data processing of large and diverse datasets. This is a core / compulsory module and worth 20 Masters level credits. Module leader is Dr Joanne Demmler

Supervision

  • Paramedic Supplied "Take Home" Naloxone: A Feasibility Study (current)

    Student name:
    PhD
    Other supervisor: Prof Ian Russell
    Other supervisor: Dr Alan Watkins
  • Untitled (current)

    Student name:
    PhD
    Other supervisor: Dr Alan Watkins
    Other supervisor: Prof Hayley Hutchings
  • The development and validation of a patient reported outcome measure of listening effort in adult cochlear implant recipients. (current)

    Student name:
    PhD
    Other supervisor: Prof Frances Rapport
    Other supervisor: Dr Alan Watkins
    Other supervisor: Prof Hayley Hutchings
  • Examining the causal mechanisms of improvements to health and wellbeing associated with green-blue spaces: a mixed methods approach (current)

    Student name:
    PhD
    Other supervisor: Dr Alan Watkins
    Other supervisor: Dr Alison Porter
  • Untitled (current)

    Student name:
    PhD
    Other supervisor: Miss Ceri Bradshaw
    Other supervisor: Dr Alan Watkins
  • Colorectal cancer - effects of surgery and chemotherapy on quality of life (awarded 2018)

    Student name:
    MSc
    Other supervisor: Prof Ian Russell
    Other supervisor: Prof Hayley Hutchings
    Other supervisor: Dr Alan Watkins
  • 'On the Statistical Analysis of Reliability and Warranty Claims Data' (awarded 2018)

    Student name:
    PhD
    Other supervisor: Dr Alan Mayer
    Other supervisor: Dr Alan Watkins