Publications

  1. Thayer, D. Presentation to primary care during the prodrome of type 1 diabetes in childhood: A case-control study using record data linkage Pediatric Diabetes
  2. Thayer, D. Primary therapy of Graves' disease and cardiovascular morbidity and mortality: a linked-record cohort study The Lancet Diabetes & Endocrinology 7 4 278 287
  3. Engeland, A., Boyle, B., Dolk, H., Klungsøyr, K., Hansen, A., Garne, E., Morgan, M., Hashimoto, K., Jordan, S., Morris, J., Davies, G., Tucker, D., Thayer, D., Luteijn, J. Selective Serotonin Reuptake Inhibitor (SSRI) Antidepressants in Pregnancy and Congenital Anomalies: Analysis of Linked Databases in Wales, Norway and Funen, Denmark PLOS ONE 11 12 e0165122
  4. Thayer, D. Meeting abstracts from the 64th British Thyroid Association Annual Meeting Thyroid Research 10 S1
  5. Charlton, R., Pierini, A., Klungsøyr, K., Neville, A., Jordan, S., de Jong-van den Berg, L., Thayer, D., Bos, H., Puccini, A., Hansen, A., Gini, R., Engeland, A., Nybo Andersen, A., Dolk, H., Garne, E. Asthma medication prescribing before, during and after pregnancy: a study in seven European regions BMJ Open 6 1 e009237

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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