Publications

  1. & Presentation to primary care during the prodrome of type 1 diabetes in childhood: A case-control study using record data linkage. Pediatric Diabetes
  2. & Primary therapy of Graves' disease and cardiovascular morbidity and mortality: a linked-record cohort study. The Lancet Diabetes & Endocrinology 7(4), 278-287.
  3. & Long term extension of a randomised controlled trial of probiotics using electronic health records. Scientific Reports 8(1)
  4. Sayers A, Thayer D, Harvey JN, Luzio S, Atkinson MD, French R, Warner JT, Dayan CM, Wong SF, Gregory JW Evidence for a persistent, major excess in all cause admissions to hospital in children with type-1 diabetes: results from a large Welsh national matched community cohort study. BMJ Open 5(4), e005644-e005644.
  5. & Effects of an air pollution personal alert system on health service usage in a high-risk general population: a quasi-experimental study using linked data. Journal of Epidemiology and Community Health 70(12), 1184-1190.

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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