Course Details
This module is taught at an intermediate to advanced level and assumes that students have completed PMIM302 Introductory Analysis of Linked Health Data or have equivalent knowledge. Advanced principles of health care epidemiology are combined with hands-on practical exercises in the implementation of computing solutions. The module provides students with a theoretical grounding on each topic, followed by 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.
This is a core / compulsory module and worth 20 Masters level credits.
This CPD course will be jointly delivered by Professor David Preen from the University of Western Australia and Dr Pete Arnold from Swansea University.
Course Level
FHEQ (what does this mean?)
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.
Date
Monday 08 April - Friday 12 April 2024
Duration
Classroom based theoretical and practical contact during a single attended week. E-learning pre and post content.
Assessment
Assignment 1, Assignment 2
Cost
Please contact us for course fees.
Location
CPD students will have the option to attend the lectures entirely online or in person. MSc students must attend in person. Lectures held at:
Data Science Building,
Swansea University,
Singleton Park, SA2 8PP
How To Apply
If you are interested in our Advanced Analysis of Linked Health Data you can apply or make an enquiry.
Lecturer
This CPD course will be run by Professor David Preen from the University of Western Australia.