Surrey Winter Statistics School – SWISS 2019

Research and Quality Improvement using Routine Health Care data – Diabetes as an Exemplar
  • Venue: University of Surrey
  • Dates: 14 – 18 January 2019

Who is this for?

  • Clinicians, leaders and managers of health care organisations wanting to improve their use of health data
  • Researchers: PhD, potential PhD students or researchers using routine health data
  • Public health trainees and specialists
  • Data analysts: In health care providers or commissioners – Social scientists and social care students wishing to work with health data

Course contents

  • Day 1

    How to define cases using routine data – an introduction to clinical ontologies – an introduction to the (free) statistical package R – different data types; including parametric and non-parametric data

  • Day 2

    How to clean data and address the issues of miscoding, misclassification, and misdiagnosis using R – how to carry out simple descriptive statistical tests using R – how to conduct hypothesis tests, correlation and linear regression using R

  • Day 3

    Advanced clinical ontologies – logistic regression, revision of theory and running R

  • Day 4

    Advanced data analysis: Survival analysis using R – privacy, information governance and Caldicott principles

  • Day 5

    An introduction to health economics

Clinical Informatics & Health Outcomes Research Group

The course is hosted by the Clinical Informatics and Health Outcomes Research ( group and taught by leading informatics academics and practitioners including:

  • Professor Simon de Lusignan – Professor of Primary Care and Clinical Informatics; Medical Director
    of the RCGP Research and Surveillance centre; practicing GP
  • Dr Tom Chan – Senior Research Fellow
  • Dr Jeewaka Mendis – Medical Statistician at the Surrey Clinical Research Centre
  • Dr Uy Hoang, Dr Harshana Liyanage, Jeremy van Vlymen and William Hinton – Research Fellows
  • Mr Jake Jordan – Research Fellow in Health Economics

Academic/ NHS




BCS/ CHAIN members


Price includes all lunches, break time teas and coffees, drinks and nibbles with evening lectures as well as course closing dinner. University accommodation, at extra cost, is available dependent on availability.


Jeremy van Vlymen (

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