We are announcing three courses, which are scheduled to take place in March 2004. 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.
Multilevel Modelling
Dates: 15-16 March. Duration: 2 days. Price: £540 (Fee of £810 for attending this course together with Multilevel Generalised Linear Models (15-17 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.
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
Date: 17 March. Duration: 1 day. Price: £285. (£810 for attending Multilevel Modelling together with this course (15-17 March); £1250 for attending Multilevel Modelling, this course and Generalised Estimating Equations - What, Why and How (15-19 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. Examples will be analysed using multilevel package MLwiN and the use of SAS will also be explored.
Generalised Estimating Equations - What, Why and How
Dates: 18-19 March. Duration: 2 days. Price: £540 (£810 for attending this course together with Multilevel Generalised Linear Models (17-19 March); £1250 for attending Multilevel Modelling, Multilevel Generalised Linear Models and this course (15-19 March))
The methodology of generalised estimating equations (GEEs) was developed in the mid-1980s by Liang and Zeger for analysing longitudinal data. This course will introduce GEE methodology and how it fits in with other modelling techniques for modelling non-normal correlated data.
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