We are announcing three courses, which are scheduled to take place in
February and March 2006. Summary information is given below.
For more detailed information and registration forms please see
http://www.ssc.rdg.ac.uk providing your address and/or fax number or email
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Note discounts are available for attending consecutive courses.
Multilevel Modelling
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Dates: 27-28 February 2006. Duration: 2 days. Price: 585 GBP.
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.
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.
Examples will be illustrated using MLwiN and SAS PROC MIXED.
Multilevel Generalised Linear Models
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Date: 1 March 2006. Duration: 1 day. Price: 315 GBP.
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. Examples
will be analysed using the multilevel package MLwiN and the use of SAS PROC
NLMIXED will also be explored.
Generalised Estimating Equations - What, Why and How
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Dates: 2-3 March 2006. Duration: 2 days. Price: 585 GBP.
The methodology of generalised estimating equations (GEEs) was developed by
Liang and Zeger for analysing discrete longitudinal data. This course will
introduce GEE methodology and how it fits in with other modelling
techniques.
The use of GEEs for modelling non-normal correlated data, such as repeated
measurements, will be covered and emphasis will placed on how the
methodology can be implemented. Examples using count data and binary and
categorical data will be given. The GENMOD procedure in SAS will be used on
the course.
Valerie Walker
Short Course Administrator
Statistical Services Centre
School of Biological Sciences
Tel: +44 (0) 118 378 8689
Fax: +44 (0) 118 975 3169
email: [log in to unmask]
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