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Surrey Winter Statistics School (SWISS 2018) - 15 - 19 January 2018

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Event Information

Dates of Event
15th January 2018 – 19th January 2018
Last Booking Date for this Event
18th December 2017

This course is for researchers, clinicians and health services analysts that want an intensive introduction to medical statistics and learn how to use R. R is a very powerful free statistical package you can continue to use after attending this course.


Clinicians, researchers and data analysts wanting to work with routine health data

  • 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



We will provide a toolkit for people aiming to provide a higher level of routine healthcare data analysis:

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 and Cox regression using R
  • Privacy, information governance and Caldicott principles

Day 5

An introduction to health economics


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