Published on: 24th October 2017
12 - 16 February 2018
Data Science Building
The Introductory Analysis of Linked Health Data is an intensive five-day course on the theory and practice of analysis of large sets of linked health and social data at an introductory to intermediate level.
Applications are now open for the course 12 February – 16 February 2018.
Rapid growth in data linkage projects has led to a shortfall in analyst skills. Some researchers understand epidemiological principles, but are unfamiliar with the specialised computing skills needed to analyse linked data files.
Others have a strong grasp of computing concepts, but lack an adequate theoretical base to design high quality applications to answer research questions. This course endeavours to fill a gap in training opportunities to cater to these two areas of need.
The course caters to users of SPSS, SAS or Stata with course materials and exercises covering all three statistical software packages. The course provides a theoretical grounding in the classroom on each topic, followed by a practical training session on the corresponding computing solutions.
Students use fictitious but realistic linked data files in the hands-on exercises. The course instructor is available in the computing laboratory session each afternoon and conducts 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.