Announcing the following courses taking place at the Statistical Services Centre, The University of Reading, in mid-March For further enquiries and/or to register email [log in to unmask] Course details and an application form are also available on our website - view "short courses" on http://www.reading.ac.uk/ssc/ and follow the links.
Multilevel Modelling
18 - 19 March 2002
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. The course will focus on models with normally distributed errors. A variety of currently available software, including MLwiN and SAS PROC MIXED, will be used to illustrate examples.
Course content
a.. Simple multilevel regression models
b.. More complex multilevel models for normal data
c.. Model fitting procedures and parameter estimation
d.. Residuals and model checking
e.. Models for repeated measures data
f.. Software for modelling, to include the use of PROC MIXED in SAS and introduction to the MLwiN package
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Multilevel Generalised Linear Models
20 March 2002
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.
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. Examples will be analysed using the specialised multilevel package MLwiN and the use of SAS will also be explored.
Course content
a.. Review of generalised linear models: binary and Poisson
b.. Multilevel logistic regression models for binary and binomial data
c.. Multilevel Poisson regression models for count data
Kellie Watkins
Statistical Services Centre
The University of Reading
Harry Pitt Building
Whiteknights Road
Reading RG6 6FN
Tel: +44 (0)118 931 8689
Fax: +44 (0)118 975 3169
http://www.reading.ac.uk/ssc/
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