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DATA LINKAGE: FROM THEORY TO PRACTICE 20-22 May 2015, Southampton Presenter: Prof Natalie Shlomo This course will introduce basic concepts and methods of record linkage and will cover methodological and statistical aspects of this new emerging area. The course will provide theory and practical applications of deterministic and probabilistic approaches to record linkage including pre-matching processes, matching weights, types of errors in classification, evaluation of the quality of linkage procedures, implementation of the E-M algorithm and an introduction to the analysis of linked datasets. By the end of the course, participants should have an understanding of record linkage techniques and be able to implement and evaluate record linkage procedures. The course does not assume any prior knowledge of record linkage and there will be a session devoted to the revision of basic concepts in probability theory necessary to understand probabilistic record linkage. The course will have a strong practical emphasis and will include tutorials and a computer workshop to enable course participants to put the taught methods into practice. The software that will be used is SAS although no familiarity with SAS prior to the course is required. (This course is a more intensive course than the course ‘Introduction to Data Linkage'). More information: http://www.ncrm.ac.uk/training/show.php?article=5249 Full short-course training programme: http://adrn.ac.uk/about/research-centre-england/england-news Contact: [log in to unmask] Many apologies if you receive this message more than once.