Introductory Analysis of Linked Health Data, PMIM302, FHEQ7T
This module introduces the topic of linked health data analysis at an introductory to intermediate level. It fills a gap in research training opportunities by combining the principles of health care epidemiology with hands-on practical exercises in the implementation of computing solutions. The module provides students with a theoretical grounding in the classroom on each topic, followed by a training session on the corresponding computing solutions. Students use de-identified linked data files in the hands-on exercises. The computing component of the module assumes a basic familiarity with computing syntax used in programs such as SPSS, SAS, STATA or R and methods of basic statistical analysis of fixed-format data files.
This is a core / compulsory module and worth 20 Masters level credits.
The main lecturers will be Professor Tom Briffa and Courtney Weber of the University of Western Australia.
The module co-ordinator is Dr Peter Arnold.
FHEQ7T (what does this mean?)
Who should attend?
This course is ideal for health and social care researchers, social scientists, clinical practitioners and health care managers.
Monday 28 February - Friday 04 March 2022
Classroom based theoretical and practical contact during a single attended week. E-learning pre and post content.
Assignment 1, Assignment 2
Please contact us for course fees.
Swansea University Medical School,
Data Science Building,
How To Apply
Apply for Analysis of Linked Health Data using the 'Apply Now' button below:
This CPD course will be held by Professor David Preen from the University of Western Australia.