June course fully booked
Tuesday 28th – Friday 31st August 2018
RESEARCH AND QUALITY IMPROVEMENT USING ROUTINE HEALTH CARE DATA – DIABETES AS AN EXEMPLAR
Who is this for?
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
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
Advanced clinical ontologies – logistic regression, revision of theory and running R
Advanced data analysis: Survival analysis and Cox regression using R – privacy, information governance and Caldicott principles
Clinical Informatics & Health Outcomes Research Group
The course is hosted by the Clinical Informatics and Health Outcomes Research (clininf.eu) 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 Jeewaka Mendis – Medical Statistician at the Surrey Clinical Research Centre
- Dr Uy Hoang, Dr Harshana Liyanage, Jeremy van Vlymen and William Hinton – Research Fellows
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.