Advanced analysis of linked data (Practical)

Advanced principles of health and administrative data linkage are combined with hands-on practical exercises in the implementation of computing solutions.

Course details

This course is taught at an intermediate to advanced level and assumes that students have completed the Introductory Analysis of Linked Health Data course or have equivalent knowledge. Advanced principles of health and administrative data linkage are combined with hands-on practical exercises in the implementation of computing solutions. The module provides students with a training session on the corresponding computing solutions. Students use de-identified data files in the hands-on exercises. The computing component of the module assumes a basic competence in the preparation of computing syntax for programs such as SPSS, SAS, STATA or R and familiarity with the statistical analysis of linked data files at an introductory to intermediate level.

Who should attend?

Ideal for those who wish to build on a pre-existing theoretical knowledge and skills in the analysis of linked health data.

Skill areas & competencies

Skill Areas:

• Problem Solving
• Analysis
• Statistical Modelling
• Visualisation

Skill Competencies: 

• Data Preparation and Feature Modelling,
• Data Analysis and Model Building

This course is being run by Datacise open learning for more information please contact them directly.