Introductory Analysis of Linked Health Data course


27/01/2014 - 31/01/2014

Organised by:

Swansea University


Professor David Preen


Entry (no or almost no prior knowledge)


Nick Corlett


View in Google Maps  (SA2 8PP)


Swansea University, Swansea


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.

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.


Register Now for the 20% off Early Bird rate for Commercial and Non-Commercial Delegates


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Website and registration:




Analysis of Composite Data, Statistical Theory and Methods of Inference, Longitudinal Data Analysis, Spatial Data Analysis, Data Mining, Quantitative Software, Confidentiality and Anonymity

Related publications and presentations:

Analysis of Composite Data
Statistical Theory and Methods of Inference
Longitudinal Data Analysis
Spatial Data Analysis
Data Mining
Quantitative Software
Confidentiality and Anonymity

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