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Advanced Analysis of Linked Health Data Application is now open for the course Monday 4 – Friday 8 April 2016

Published on: 24th November 2015

Advanced Analysis of Linked Health Data is an intensive course of five days in duration, designed to instruct participants in the theory and practice of analysis of large sets of linked health data at an intermediate to advanced level. Advanced principles of health care epidemiology are combined with hands-on practical exercises in the implementation of computing solutions. The modular structure of the unit provides students with a theoretical grounding in the classroom on each topic, followed by a training session on the corresponding technological computing solutions. Students use fictitious but realistic linked data files in the hands-on exercises. One-on-one coaching and instruction is available in the computing laboratory session each afternoon on how to problem-solve complex research scenarios covered by the hands-on exercises.

The course caters to users of SPSS, SAS or Stata with course materials and exercises covering all three statistical software packages. Advanced principles of health and social epidemiology are combined with hands-on practical exercises in the implementation of computing solutions for managing and analysing a range of complex linked data sets.

Professor David Preen provides students with a theoretical grounding in the classroom on each topic, followed by a training session on the corresponding technological computing solutions. Students use multiple fictitious but realistically modelled linked data files in the hands-on exercises. The course will also include a series of guest presentations throughout the five days. Professors Preen, along with additional lab demonstrators, will be available in the computing laboratory session each afternoon and conduct one-on-one coaching for those who need assistance.

Who Should Attend

This course is ideal for health and social care researchers, social scientists, clinical practitioners and health care managers who wish to build on their pre-existing theoretical knowledge and skills in the analysis of linked health data.

For more details and to register to attend the course, please click here


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