Surrey Informatics Summer School – SISS 2018

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 and Cox regression using R – privacy, information governance and Caldicott principles