Please find below details of two CCSR short courses on Combining Data:
Combining Data Part 1
19th January 2009
The course will cover: reasons for combining data - concepts and examples; a Refresher on multilevel modeling;
a session on combining survey and aggregate data in a multilevel model, with some examples using UK and European data;
a practical session on combining survey and aggregate data in a multilevel model;
and a session on combining census aggregate and microdata in a multilevel model.
The course will explain how a multilevel modelling framework is often ideal for combining data, eg aggregate and survey data. It will provide practical examples.
Target audience: Researchers who want to learn how to combine data in a statistical model from a largely practical perspective.
Combining Data Part 2
20th January 2009
The course will cover:
Combining Data via the Missing Information Principle (MIP); Combining Data via Calibration;
Comparing MIP and Calibration Approaches; Inference for Linked Data; and some applications of linked data analysis.
Social Scientists and Mathematical Statisticians interested in understanding the benefits and consequences of combining data
To make a booking, or for further information, please visit www.ccsr.ac.uk/courses/list/
Or contact Katey Matthews:
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0161 275 4736
University of Manchester
Ground Floor, Humanities Bridgeford Street
Tel: 0161 275 4736
Fax: 0161 275 4722
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