Announcing two courses taking place in mid-October at the Statistical Services Centre, The University of Reading. For more information see our website on http://www.reading.ac.uk/ssc/ or email [log in to unmask]
***Using SAS PROC GLM***
13-14 October
The GLM procedure in SAS uses the method of least squares to fit general linear models, e.g. simple and multiple linear regression models and general analysis of variance models using balanced and unbalanced data.
In this course the facilities of SAS PROC GLM are described and assessed. The nature of the four types of sums of squares will be explained, as well as the use of estimating functions. Numerous examples will be used for illustration while the practical sessions, based on SAS output, will help participants understand the ideas involved.
***Analysis of Random Effects Models using SAS PROC MIXED***
15-17 October
MIXED is a SAS procedure for fitting models with both fixed and random effects. Such models arise when treatments are a random selection from a wider group and when data are collected from a multi-strata structure with different levels of variability.
Practical situations where such experimental data arise are many. For example in a clinical trial to evaluate the effectiveness of two drugs, the drugs may be administered to patients from a random selection of hospitals with a view to generalising the conclusions to patients from all hopsitals. In environmental studies, random locations within randomly selected sites may be measured for soil and environmental characteristics. How models for such situations can be fitted in PROC MIXED, and how the output can be interpreted will be covered in lectures and computer practical sessions.
Kellie Nicholson (formerly Watkins)
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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