Announcing two courses scheduled to take place late February/early March at the Statistical Services Centre, The University of Reading. For more information view our website http://www.reading.ac.uk/ssc/ or email [log in to unmask]
*****Multilevel Modelling*****
28 February - 1 March
Hierarchical data structures are common in many areas of application, including the social sciences, education, market research, biology, psychology, agriculture and industry. Such data structures may result from surveys, designed experiments or observational studies. In the past, because suitable modelling approaches have not been available, the analysis of hierarchical data has been rather ad hoc and, in some well-known cases, ignoring the multilevel nature of the data has even led to incorrect conclusions.
Although the theory of multilevel modelling will be explained, the emphasis in this course is on its practical implementation and interpretation of results. You will update your data skills by learning to use modern approaches to analysing hierarchical data and will learn to use specialised software for multilevel modelling.
*****Multilevel Generalised Linear Models*****
2 March
This course extends the traditional multilevel model with normally distributed errors to those with discrete responses. Common discrete variables are binary and counts; typically these types of responses are analysed using generalised linear models such as logistic regression and Poisson regression. Commonly used generalised linear models will be extended to deal with multiple error structures, using a variety of examples. The emphasis will be practical, although an outline of the theory will be presented.
Kellie Nicholson
Statistical Services Centre
The University of Reading
Harry Pitt Building
Whiteknights Road
Reading
RG6 6FN
UK
http://www.rdg.ac.uk/ssc/
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